{ "count" : 116859, "data" : [ { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. Analyze complex datasets", "createdAt" : "2026-06-14T19:52:47.793", "lastUpdated" : "2026-06-15T21:42:44.801", "ingestTimestamp" : "2026-06-14T19:52:47.793", "mongoId" : "694ae6e870f0b99d589b3a89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing", "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 1096.2911, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8d70f0b99d5843fe9e", "title" : "Automation and Analytics Program Manager, Delivery Services", "company" : "Amazon Commercial Services Pty Ltd", "industry" : "Leadership Development Training, Program Management, fulfillment ops", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Automation and Analytics Program Manager, Delivery Services in Melbourne, Australia, adjusted for Manager seniority at a large e-commerce company." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-15T01:55:39.451", "fingerprint" : "f508a7d9ada6ad76a1db6b51ce291ef97f810abf0fe0e21e3b329b3474620b6b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137761/apply", "externalId" : "d3aee3f4-99d9-4a36-a4dc-94664c2ce0a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Learning program strategy", "Operational performance", "Employee development", "Business outcomes", "Resource allocation", "Program enhancement", "Quality assurance" ], "hardSkillsList" : [ "Data analysis", "Program management", "Business analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Learning program management, Operational excellence, Data analytics", "majorSkillsList" : [ "Learning program management", "Operational excellence", "Data analytics" ], "coreResponsibilities" : "Support learning leaders, Design learning programs, Improve safety metrics, Improve quality metrics, Improve productivity metrics, Partner with WW learning teams, Evaluate learning solutions, Localise learning solutions, Pilot new approaches, Measure learning effectiveness, Identify performance gaps, Optimise program delivery, Build partnerships with Operations leaders, Navigate competing priorities, Manage escalations, Make judgment calls, Communicate learning strategy, Communicate learning results, Translate training metrics, Drive adherence to standards, Create feedback loops, Capture operational insights, Scale learning programs, Maintain program quality, Maintain program consistency, Establish quality assurance processes, Ensure consistent training experiences", "teamCollaboration" : "Cross-functional learning initiatives; WW learning teams; Operations leaders; Senior leadership; Cross functional teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Learning excellence; Operational performance; Safety outcomes; Employee development; Customer experiences; Program delivery; Business impact; Operational insights; Learning effectiveness", "domainList" : [ "learning-excellence", "operational-performance", "safety-outcomes", "employee-development", "customer-experiences", "program-delivery", "business-impact", "operational-insights", "learning-effectiveness" ], "domainSpecificKnowledge" : [ "Learning excellence", "Operational performance", "Safety outcomes", "Employee development", "Customer experiences", "Program delivery", "Business impact", "Operational insights", "Learning effectiveness" ], "communicationSkills" : "Communicate results; Communicate strategy; Business review", "innovationCreativity" : "Innovate program delivery; Pilot new approaches", "problemSolvingSkills" : "Data-driven decision making; Identify performance gaps; Optimise program delivery; Navigate competing priorities; Make sound judgment calls", "specialRequirements" : "20% quarterly travel", "outcomesObjectives" : "Improve safety metrics; Improve quality metrics; Improve productivity metrics; Drive business outcomes; Ensure consistent training experiences", "qualificationsBasic" : "5+ years program management, Experience using data and metrics, Own program strategy, End to end delivery, Communicate results to senior leadership, SQL expertise, Python expertise, At least 2 program languages, Experience as a business analyst, Program Management experience, Knows when to use each programming language, Data analysis assessment, AI integration capabilities, At least 3 years Business Analyst, Stakeholder management, Business acumen", "qualificationsPreferred" : "2+ years driving process improvements, Master's degree, MBA in business, operations, human resources, adult education, organizational development, instructional design or related field, Open to AI integration", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AU Learning team seeks an exceptional Learning Program Manager who will set the standard for learning excellence across our operations. This role demands a strategic leader who can transform learning from a compliance function into a competitive advantage that directly drives operational performance, safety outcomes, and employee development at scale. As a Learning Program Manager, you will drive the end-to-end learning program strategy for Operations, establishing best-in-class training standards that enable our teams to deliver world-class customer experiences. You will lead cross-functional learning initiatives across the region, driving innovation in program delivery while maintaining relentless focus on measurable business impact. This role requires someone who can operate at both strategic and tactical levels—designing regional learning frameworks while being willing to \"roll up your sleeves\" and deliver training on the floor when needed. This is a field-based, leadership position requiring at least 20% quarterly travel between operations sites. You must be comfortable working in a dynamic, high-volume environment where priorities shift rapidly and ambiguity is the norm. Key job responsibilities Operational Excellence & Data-Driven Decision Making - Support a high-performing team of learning leaders across multiple locations. - Design and implement a comprehensive learning programs for critical operational roles (Yard Marshals, TDR, Learning Ambassadors) that demonstrably improves safety, quality, and productivity metrics - Partner with WW learning teams to identify, evaluate, and localise innovative learning solutions, demonstrating bias for action in piloting new approaches while maintaining high standards for effectiveness - Leverage data analytics to measure learning effectiveness, identify performance gaps, and continuously optimise program delivery Stakeholder Management & Influence - Build deep partnerships with Operations leaders, earning their trust through consistent delivery and demonstrating how learning investments drive business outcomes - Navigate competing priorities and escalations with composure, making sound judgment calls about resource allocation and timeline tradeoffs - Communicate learning strategy and results to senior leadership, translating training metrics into business impact - Influence without authority across multiple stakeholder groups to drive adoption of learning initiatives Standards & Continuous Improvement - Drive adherence to standard learning solutions while creating feedback loops that capture operational insights for program enhancement - Scale successful learning programs across the network while maintaining quality and consistency - Establish quality assurance processes that ensure consistent, high-quality training experiences across all sites in the region We are also looking for these must haves 1. SQL experience (expertise) 2. Python (expertise + mastery) 3. At least 2 program languages but Python is a must 4. Experience as a business analyst 5. Program Management experience 6. Knows when to use each programming language 7. Data analysis assessment - have Aky add in 8. Open to AI integration, when to use and know the limit 9. AI integration capabilities 10. At least 3 years of Business Analyst 11. Stakeholder management 12. Business acumen A day in the life You'll start your day reviewing learning metrics and site performance data, identifying trends that require intervention. You'll conduct check-ins with your peers and ensure they are supported. Mid-morning, you might facilitate a working session with leaders to design the strategy for a new process/program roll out, then spend the afternoon partnering with cross functional teams on program development. You'll analyse completion rates and performance data to assess program effectiveness, then end your day planning next week's site visits and preparing a business review on learning impact for senior leadership. About the team The AU Learning team is the engine that powers operational excellence across our operations network. We're a team of passionate learning professionals who believe that investing in people is the highest-leverage activity we can do. We move fast, experiment boldly, and measure everything. We support each other, challenge each other, and celebrate the impact we have on thousands of employees who deliver for our customers every day. Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership Preferred Qualifications: - 2+ years of driving process improvements experience - Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Automation and Analytics Program Manager, Delivery Services at Amazon Commercial Services Pty Ltd. Skills: Learning program management, Operational excellence, Data analytics. Support learning leaders. Design learning programs", "postedDate" : "2026-06-13T02:45:54.760", "createdAt" : "2026-06-13T02:45:54.760", "lastUpdated" : "2026-06-15T01:55:39.451", "ingestTimestamp" : "2026-06-13T02:45:54.760", "mongoId" : "693c2b8d70f0b99d5843fe9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137761/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Program management", "Business analysis", "Leadership", "Learning program management", "Operational excellence", "Data analytics", "Learning program strategy", "Operational performance", "Employee development", "Business outcomes", "Resource allocation", "Program enhancement", "Quality assurance", "Learning excellence", "Safety outcomes", "Customer experiences", "Program delivery", "Business impact", "Operational insights", "Learning effectiveness" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 999.74786, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176f474d8ee00a0c1b5e7", "title" : "Sr. Planning, Reporting & Analytics Program Manager", "company" : "Amazon Japan G. 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This role puts you at the center of it all. As our Sr. Planning, Reporting & Analytics PM, you'll be the driving force behind how we plan, measure, and communicate our business performance. You'll own every major planning cycle, from annual operating plans to quarterly goal-setting, and every business review that lands in front of our senior leaders. When a VP or Director needs to understand where we stand, where we're headed, and what we need to do next, they'll be looking at your work. This isn't a behind-the-scenes role. You'll be in the room, shaping the narrative, challenging assumptions, and turning complex data into clear, compelling stories that drive decisions. You'll orchestrate cross-functional alignment across teams, manage competing priorities, and ensure we're always operating with a shared understanding of our goals and performance. What you'll solve: - How do we translate long-term strategy into actionable plans that teams can execute against? - How do we create a single source of truth for business performance that leadership can trust and act on? - How do we ensure our reporting cadence drives accountability and surfaces the right insights at the right time? If you thrive on structure, love turning ambiguity into clarity, and write with the precision and persuasion needed to influence senior leaders, this is your role. Key job responsibilities - Planning Cycles: Own and orchestrate all annual and quarterly planning cycles: timeline management, cross-functional coordination, and final deliverable quality. - Business Reviews: Own preparation and delivery of all reporting cadences: data synthesis, narrative writing, and ensuring every review drives clear decisions for senior management audiences. - Document Ownership: Single-threaded owner for most external-facing documents. Write and edit executive-level narratives that are clear, concise, and bar-raising. - Analytics & Insights: Build reporting mechanisms that surface the right metrics at the right cadence. Dive deep into data to identify trends, risks, and opportunities. - Cross-Functional Coordination: Act as the connective tissue between operations, finance, product, and technology teams, managing competing priorities across peak planning periods. A day in the life Your day revolves around keeping leadership informed and the business on track. You might be writing the narrative for a weekly business review, chasing inputs from operations and finance, or orchestrating a planning cycle with tight deadlines and competing stakeholders. When numbers don't add up, you dive deep. Your customers are senior leaders who rely on your work to make decisions — when they walk into a review feeling prepared, that's your impact. About the team Easy Ship is Amazon's managed delivery solution for Marketplace sellers. We pick up packages directly from sellers and deliver them to customers through Amazon's logistics network. For sellers, it means they can focus on their products instead of managing carriers. For customers, it means faster, more reliable delivery with full visibility. We're still early. The business is growing fast, and we're building the playbook as we go, building processes, mechanisms, tools, and the operational foundations that will scale this service across the country. That means less bureaucracy, more ownership, and real impact on decisions that shape the business. Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - Experience in verbal and written communication for executive level leaders - Experience in capacity planning, operations planning, business analysis or similar - Experience in English-language communication skills, both written and verbal - Experience managing business review cadences or equivalent recurring reporting mechanisms Preferred Qualifications: - Master's degree, or MBA in supply chain, business, engineering, finance or related technical or quantitative field - Experience working directly with senior executives and leadership teams - Experience in transportation and supply chain - Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. - Experience with planning, performance metrics, and process improvement - Business level of Japanese Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Planning, Reporting & Analytics Program Manager at Amazon Japan G. K.. Skills: Planning, Reporting, Analytics, Program management. Own and orchestrate planning cycles. Manage timelines", "postedDate" : "2026-06-13T09:00:06.854", "createdAt" : "2026-06-13T09:00:06.854", "lastUpdated" : "2026-06-15T00:56:21.007", "ingestTimestamp" : "2026-06-13T09:00:06.854", "mongoId" : "6a2176f474d8ee00a0c1b5e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436671/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting mechanisms", "Performance metrics", "Leadership", "Planning", "Reporting", "Analytics", "Program management", "Business analysis", "Capacity planning", "Operations planning", "Data synthesis", "Narrative writing", "Process improvement", "Timeline management", "Cross-functional coordination", "Priority management", "Logistics", "Supply chain", "Business performance", "Operational metrics", "Excel", "Pivot Tables", "Macros", "SQL", "Tableau", "Quicksight" ], "skillCount" : 27, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 967.0814, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a71bb74d8ee00a064a462", "title" : "Senior Manager- Quality Reporting and Data Analytics", "company" : "Vytalize Health", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in Healthcare, adjusted for remote work and manager seniority in India." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-13T03:55:01.640", "fingerprint" : "2bc7650beb6d111411783d3dfcf333c885fef7dbb3e6442610cf1758cc3759a3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Vytalize%20Health/f6a0e4b3-b8d1-4fd8-8930-1b8339a5fcbd/application", "externalId" : "f6a0e4b3-b8d1-4fd8-8930-1b8339a5fcbd", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, FHIR, QRDA, C-CDA, SNOMED CT, LOINC, ICD-10, CPT, RxNorm", "professionalSkills" : [ "Quality reporting", "Data analytics", "Healthcare quality", "Provider engagement", "Value-based care", "Population health", "Quality improvement", "Clinical workflows", "EHR data integration", "Data standards", "Clinical data pipelines", "Software development environments", "Version control systems", "Project management" ], "hardSkillsList" : [ "Quality measure reporting", "Data analysis", "Data extraction", "Data quality", "Data integrity", "Data management", "SQL querying", "Healthcare data integration", "Clinical terminology mapping" ], "softSkillsList" : [ "Problem-solving", "Strategic thinking" ], "hardSkills" : [ { "name" : "Quality measure reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Healthcare data integration", "level" : "intermediate" }, { "name" : "Clinical terminology mapping", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Strategic thinking" } ], "majorSkills" : "Quality reporting, Data analytics, Healthcare data, CMS quality measures", "majorSkillsList" : [ "Quality reporting", "Data analytics", "Healthcare data", "CMS quality measures" ], "coreResponsibilities" : "Manage technology-driven initiatives, Optimize clinical workflows, Optimize EHR workflows, Ensure documentation meets requirements, Ensure coding meets requirements, Develop technology solutions, Deliver technical specifications, Interpret technical specifications, Deploy quality improvement programs, Manage quality improvement programs, Ensure accurate end-of-year quality reporting, Design data collection workflows, Maintain data collection workflows, Ensure data quality, Ensure data integrity, Utilize SQL for analysis, Analyze healthcare datasets, Collaborate with EHR vendors, Collaborate with technical teams, Optimize data extraction processes, Monitor practice quality performance, Develop actionable strategies, Achieve optimal measure benchmark", "teamCollaboration" : "Partner with internal teams; Work with external vendors; Communicate with development teams", "projectManagementSkills" : [ "Manage multiple projects", "Manage multiple stakeholders", "Project management principles", "Manage change" ], "domainKnowledge" : "Healthcare quality; ACO quality reporting; MSSP programs; ACO REACH programs; Value-based care; CMS quality measures; eCQMs; CAHPS; Medicare CQMs; Clinical workflows; Healthcare administrative datasets; Healthcare clinical datasets; EHR data integration; Healthcare data standards; Clinical data pipelines; Standardized terminologies; Standardized schemas", "domainList" : [ "healthcare-quality", "aco-quality-reporting", "mssp-programs", "aco-reach-programs", "value-based-care", "cms-quality-measures", "ecqms", "cahps", "medicare-cqms", "clinical-workflows", "healthcare-administrative-datasets", "healthcare-clinical-datasets", "ehr-data-integration", "healthcare-data-standards", "clinical-data-pipelines", "standardized-terminologies", "standardized-schemas" ], "domainSpecificKnowledge" : [ "Healthcare quality", "ACO quality reporting", "MSSP programs", "ACO REACH programs", "Value-based care", "CMS quality measures", "eCQMs", "CAHPS", "Medicare CQMs", "Clinical workflows", "Healthcare administrative datasets", "Healthcare clinical datasets", "EHR data integration", "Healthcare data standards", "Clinical data pipelines", "Standardized terminologies", "Standardized schemas" ], "toolProficiency" : [ "EHR systems", "Practice management tools", "Revenue cycle tools", "Population health platforms" ], "communicationSkills" : "Communication skills; Problem-solving; Strategic thinking", "documentationSkills" : "Technical specifications; Clinical documentation", "problemSolvingSkills" : "Problem-solving; Strategic thinking", "outcomesObjectives" : "Ensure optimal performance; Ensure optimal quality performance; Ensure accurate end-of-year quality reporting; Achieve optimal ACO scoring; Ensure data quality and integrity; Achieve optimal measure benchmark achievement", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience, 3+ years of experience, Deep understanding of CMS quality measures, Basic understanding of clinical workflows, Knowledge of healthcare datasets, Experience working with EHR platforms, Excellent organizational skills, Excellent communication skills, Problem-solving capabilities, Strategic thinking capabilities, Manage multiple projects, Manage multiple stakeholders", "qualificationsPreferred" : "Proficient in SQL, Intermediate understanding of EHR data integration, Experience with clinical datasets, Experience working with clinical data pipelines, Familiarity with software development environments, Familiarity with version control systems, Basic coding or scripting languages, Experience applying project management principles, Experience in team leadership, Experience in cross-functional collaboration", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Your Opportunity As a Senior Manager, Quality Reporting & Data Analytics at Vytalize Health, you’ll be a vital part of the Technology team, focusing on ACO quality reporting and data analytics initiatives. This role combines deep healthcare quality expertise with technical data management skills to ensure optimal performance across our Medicare Shared Savings Program (MSSP), ACO REACH, and other value-based care programs. The ideal candidate will have hands-on experience with quality measure reporting, provider engagement, and data analytics in healthcare settings. What You Will Do - Manage technology-driven initiatives to optimize clinical and EHR workflows, ensuring documentation and coding meet program-specific reporting requirements for assigned partners, by developing technology solutions to meet unique reporting requirements and ensure optimal quality performance - Deliver and interpret technical specifications for quality programs, ensuring optimal performance through advanced data analysis - Partner with internal teams to successfully deploy and manage quality improvement programs, working with external vendors to ensure accurate end-of-year quality reporting and optimal ACO scoring - Design and maintain data collection workflows from multiple EHR systems, ensuring data quality and integrity for quality measure improvement - Utilize SQL and data analytics tools to analyze large healthcare datasets for quality reporting and performance insights - Collaborate with EHR vendors and technical teams to optimize data extraction processes, working with C-CDA, QRDA, flat files, and other healthcare data formats - Monitor practice quality performance by developing data-driven actionable strategies for continuous improvement and optimal measure benchmark achievement What Will Make You Successful Here Required Qualifications - Bachelor's degree in Health Informatics, Data Analytics, Public Health, or related field - 5+ years of experience in healthcare quality reporting, preferably with ACO, MSSP, REACH, or MIPS programs - 3+ years of experience in value-based care, population health, government programs, or quality improvement - Deep understanding of CMS quality measures, including eCQMs, CAHPS, and Medicare CQMs - Basic understanding of clinical workflows across inpatient, ambulatory, and ancillary care settings, including how data is captured and used in EHR systems - Knowledge of healthcare administrative and clinical datasets, including demographics, encounters, labs, diagnoses, and medications - Experience working with EHR, practice management, revenue cycle tools, or population health platforms to support clinical or operational use cases - Excellent organizational and communication skills with an emphasis on problem-solving and building subject matter expertise - Proven ability to manage multiple projects and stakeholders - Strong problem-solving and strategic thinking capabilities Preferred Qualifications - Proficient in SQL, with experience querying large healthcare for data extraction, manipulation, and analysis - Intermediate understanding of EHR data integration and applicable data standards, including FHIR, QRDA, C-CDA, SNOMED CT, LOINC, ICD-10, CPT, and RxNorm - Experience with clinical datasets to ensure accurate patient record linkage, data integration, and interoperability between clinical, administrative, and claims data sources - Experience working with clinical data pipelines, including ingestion, normalization, and mapping to standardized terminologies and schemas - Familiarity with software development environments, version control systems, and basic coding or scripting languages to effectively communicate with development teams and participate in technical discussions - Experience applying project management principles and techniques with an eye towards execution, including skills in leading and managing change within teams and initiatives more broadly - Experience in team leadership and cross-functional collaboration", "summaryDescription" : "Senior Manager- Quality Reporting and Data Analytics at Vytalize Health. Skills: Quality reporting, Data analytics, Healthcare data, CMS quality measures. Manage technology-driven initiatives. Optimize clinical workflows", "postedDate" : "2026-06-11T17:28:54.485", "createdAt" : "2026-06-11T17:28:54.485", "lastUpdated" : "2026-06-13T03:55:01.640", "ingestTimestamp" : "2026-06-11T17:28:54.485", "mongoId" : "6a2a71bb74d8ee00a064a462", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quality measure reporting", "Data analysis", "Data extraction", "Data quality", "Data integrity", "Data management", "SQL querying", "Healthcare data integration", "Clinical terminology mapping", "Problem-solving", "Strategic thinking", "Quality reporting", "Data analytics", "Healthcare data", "CMS quality measures", "Healthcare quality", "Provider engagement", "Value-based care", "Population health", "Quality improvement", "Clinical workflows", "EHR data integration", "Data standards", "Clinical data pipelines", "Software development environments", "Version control systems", "Project management", "Manage multiple projects", "Manage multiple stakeholders", "Project management principles", "Manage change", "ACO quality reporting", "MSSP programs", "ACO REACH programs", "eCQMs", "CAHPS", "Medicare CQMs", "Healthcare administrative datasets", "Healthcare clinical datasets", "Healthcare data standards", "Standardized terminologies", "Standardized schemas", "EHR systems", "Practice management tools", "Revenue cycle tools", "Population health platforms" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "engineering-", "dataQualityScore" : 1.0, "_score" : 944.64276, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "693072a770f0b99d58ffb7de", "title" : "Principal Program Manager, xBR Analytics & Automation", "company" : "ADCI MAA 15 SEZ - K20", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Retail", "salary" : { "min" : 5500000.0, "max" : 8500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Program Manager in Chennai, India, adjusted for executive seniority, senior experience, and the technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-14T23:52:05.156", "fingerprint" : "2e517980358a4ea4a7bff88ad7b5624dd49ed31cceb4b58f2c2d703218eb1e7c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134252/apply", "externalId" : "cf5b523e-18cb-46d6-a76f-7726296b8b4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Leadership analytics", "Data governance", "Narrative intelligence" ], "hardSkillsList" : [ "Roadmap execution", "Process automation", "Data analysis", "Metrics communication" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Roadmap execution", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Automation roadmap, Leadership analytics, GenAI decision systems", "majorSkillsList" : [ "Automation roadmap", "Leadership analytics", "GenAI decision systems" ], "coreResponsibilities" : "Define automation roadmap, Own automation roadmap, Drive cross-org alignment, Establish leadership analytics framework, Establish data governance model, Operationalize AI-ready workflows, Ensure workflow accuracy, Ensure workflow narrative depth, Ensure workflow defensibility, Ensure workflow contextual intelligence, Partner with Tech teams, Partner with Science teams, Partner with Product teams, Prioritize roadmap milestones, Ensure scalable implementation, Establish governance, Establish rollout playbooks, Establish adoption mechanisms, Transition leadership reporting, Mentor PMs, Mentor BAs, Mentor BIEs, Scale capability across PMs, Scale capability across BAs, Scale capability across BIEs", "teamCollaboration" : "Cross-org alignment; Global stakeholders; Tech teams; Science teams; Product teams", "projectManagementSkills" : [ "Roadmap execution", "Program management", "Project management" ], "domainKnowledge" : "Leadership analytics; GenAI; Decision systems", "domainList" : [ "leadership-analytics", "genai", "decision-systems" ], "domainSpecificKnowledge" : [ "Leadership analytics", "GenAI", "Decision systems" ], "communicationSkills" : "Communicate results; Senior leadership communication", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "10+ years cross functional experience, 10+ years program management, 7+ years managing senior leadership communication, Experience implementing repeatable processes, Experience driving automation, Experience driving standardization", "qualificationsPreferred" : "Delivering projects within scope, Delivering projects within time, Delivering projects within budget, Delivering projects within quality", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Principal Program Manager in RBS will lead the end-to-end strategy, roadmap execution, and global rollout of automated leadership analytics. This role will drive the transformation of leadership reporting mechanisms into conversational, on-demand insights. The Principal PM will establish the Leadership Analytics Framework, align global stakeholders, and operationalize mechanisms that ensure leadership metrics, insights, and narratives are accurate, auto-generated, and consumable conversationally by Senior leaders. The role will serve as the single-threaded owner guiding adoption, prioritization and execution of from manually authored decks to fully automated, institutionally trusted, GenAI-native decision systems. Key job responsibilities 1. Define and own the multi-year automation roadmap for automating xBRs reviewed at Senior leadership level 2. Drive cross-org alignment across multiple functions across Amazon to establish a unified leadership analytics framework and data governance model. 3. Operationalize AI-ready leadership review workflows, ensuring accuracy, narrative depth, defensibility, and contextual intelligence. 4. Partner with Tech, Science, and Product teams to prioritize roadmap milestones and ensure scalable implementation of narrative intelligence 5. Establish governance, rollout playbooks, and adoption mechanisms, transitioning leadership reporting from traditional deck-based systems to conversational, real-time analytics. 6. Mentor and scale capability across PMs, BAs, and BIEs to ensure long-term sustainability of automation and GenAI-led decision frameworks. Basic Qualifications: - 10+ years of working cross functionally with tech and non-tech teams experience - 10+ years of program or project management experience - 7+ years of managing, analyzing and communicating results to senior leadership experience - Bachelor's degree - Experience implementing repeatable processes and driving automation or standardization Preferred Qualifications: - Experience delivering projects within scope, time, budget and quality Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Principal Program Manager, xBR Analytics & Automation at ADCI MAA 15 SEZ - K20. Skills: Automation roadmap, Leadership analytics, GenAI decision systems. Define automation roadmap. Own automation roadmap", "postedDate" : "2026-06-13T03:32:33.487", "createdAt" : "2026-06-13T03:32:33.487", "lastUpdated" : "2026-06-14T23:52:05.156", "ingestTimestamp" : "2026-06-13T03:32:33.487", "mongoId" : "693072a770f0b99d58ffb7de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3134252/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Roadmap execution", "Process automation", "Data analysis", "Metrics communication", "Leadership", "Mentoring", "Automation roadmap", "Leadership analytics", "GenAI decision systems", "Data governance", "Narrative intelligence", "Program management", "Project management", "GenAI", "Decision systems" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 940.6639, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a826074d8ee00a06732e8", "title" : "Analytics and Reporting Sr Analytics (IKC)", "company" : "Davita", "industry" : "Healthcare", "salary" : { "min" : 76000.0, "max" : 104000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-12T19:45:26.860", "fingerprint" : "7630cc135e8e9a82a460dce4e4204e33af64a5dd35e5105b0fa12cd309503ff3", "source" : "workday", "language" : "en", "applyUrl" : "https://davita.wd1.myworkdayjobs.com/DKC_External/job/09567---Denver-HQ-Non-CA-or-CO-Remote/Analytics-and-Reporting-Sr-Analytics--IKC-_R0463000", "externalId" : "R0463000", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Python, R", "professionalSkills" : [ "Quality reporting", "Population health management", "Business intelligence", "Data integrity", "Advanced analytics", "Clinical operations", "Payor collaboration" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Data validation", "Dashboard design", "Trend identification", "Variance analysis", "Hypothesis formulation", "Methodology design", "SQL coding", "Version control" ], "softSkillsList" : [ "Critical Thinking", "Business Acumen", "Mentorship" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Hypothesis formulation", "level" : "intermediate" }, { "name" : "Methodology design", "level" : "intermediate" }, { "name" : "SQL coding", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical Thinking" }, { "name" : "Business Acumen" }, { "name" : "Mentorship" } ], "majorSkills" : "Data Analytics, Reporting, Business Intelligence, Project Leadership", "majorSkillsList" : [ "Data Analytics", "Reporting", "Business Intelligence", "Project Leadership" ], "coreResponsibilities" : "Lead analytics projects, Translate business requirements into functional specifications, Manage project timelines, Execute high-accuracy analyses, Identify trends, variances, and opportunities, Formulate analytic hypotheses, Design methodologies to answer business questions, Serve as a trusted resource for UAT and, Validate reporting accuracy, Design advanced dashboards, Build advanced dashboards, Communicate insights to leaders, Collaborate with partners to understand data needs, Provide actionable recommendations, Identify systematic data or reporting challenges, Design scalable solutions, Suggest enhancements to existing reports, Translate complex data sets into narratives, Summarize performance targets and progress, Provide guidance to teammates, Provide coaching to teammates, Provide technical support to teammates, Onboard new team members, Assist with troubleshooting technical roadblocks, Document processes, Document methodologies, Standardize SQL coding styles, Implement version control best practices, Perform ad hoc analyses, Participate in special projects, Participate in cross-functional working groups", "teamCollaboration" : "Clinical partners; Operations partners; Payor partners; Senior leadership; Analyst-level teammates; Cross-functional working groups", "projectManagementSkills" : [ "Project leadership", "Timeline management" ], "domainKnowledge" : "Renal population health management; Integrated Kidney Care (IKC); Quality reporting; Stars reporting; HEDIS reporting; NCQA; Payor collaboration", "domainList" : [ "renal-population-health-management", "integrated-kidney-care-ikc", "quality-reporting", "stars-reporting", "hedis-reporting", "ncqa", "payor-collaboration" ], "domainSpecificKnowledge" : [ "Renal population health management", "Integrated Kidney Care (IKC)", "Quality reporting", "Stars reporting", "HEDIS reporting", "NCQA", "Payor collaboration" ], "toolProficiency" : [ "Tableau", "Excel", "PowerPoint" ], "communicationSkills" : "Stakeholder communication; Insight communication; Narrative synthesis; Performance summarization", "documentationSkills" : "Process documentation; Methodology documentation", "continuousLearning" : "Professional development programs; Online training platform", "problemSolvingSkills" : "Advanced analytical questions; Troubleshooting technical roadblocks", "qualificationsBasic" : "Bachelor's degree in Business, Analytics, Mathematics, Statistics, Computer Science, or related field, 3+ years of experience in data analytics, reporting, or business intelligence, Demonstrated experience leading projects or components of large initiatives, Advanced proficiency in SQL, Intermediate to Advanced proficiency in Tableau, Advanced proficiency in Excel/PowerPoint", "qualificationsPreferred" : "Preferred experience with NCQA, HEDIS, and Stars reporting and analysis, Experience with Python or R", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Posting Date** 06/10/2026 2000 16th St, Denver, Colorado, 80202-5117, United States of America The Integrated Care Reporting and Analytics team supports DaVita Integrated Kidney Care (DaVita IKC), the renal population health management division of DaVita. Our team is responsible for developing and communicating analytics that inform the clinical needs of our populations, the design of our care model, and collaboration with payors. This role is focused on quality reporting and supports delivery of Stars/HEDIS reporting. The **Senior Analyst** plays a critical role in this mission by acting as a project lead, ensuring data integrity through rigorous UAT/QA, and answering advanced analytical questions for the business. This role is designed for a teammate who not only executes complex analyses but also mentors junior teammates and helps drive the strategic direction of our reporting capabilities. **Essential Duties & Responsibilities** **Advanced Analytics & Reporting (50%)** * **Project Leadership:** Act as a lead on analytics projects, translating high-level business requirements into functional specifications and managing the timeline from conception to delivery. * **Complex Analysis:** Execute high-accuracy analyses to identify trends, variances, and opportunities within clinical and operational data. Formulate analytic hypotheses and design methodologies to answer proactive business questions. * **Data Integrity:** Serve as a trusted resource for User Acceptance Testing (UAT) and Quality Assurance (QA). Validate the work of others to ensure reporting accuracy before it reaches stakeholders. * **Visualization:** Design and build advanced dashboards (e.g., Tableau) that effectively communicate insights to clinical and operational leaders. **Strategic Support & Communication (30%)** * **Stakeholder Partnership:** Collaborate with clinical, operations, and payor partners to understand their data needs and provide actionable recommendations. * **Process Improvement:** Identify systematic data or reporting challenges and design scalable solutions. Proactively suggest enhancements to existing reports to improve efficiency and usability. * **Insight Synthesis:** Translate complex data sets into clear, cohesive narratives for senior leadership, often leveraging PowerPoint to summarize performance targets and progress. **Mentorship & Team Development (10%)** * **Mentorship:** Provide guidance, coaching, and technical support to Analyst-level teammates. Help onboard new team members and assist them in troubleshooting technical roadblocks. * **Knowledge Sharing:** Document processes and methodologies to build a shared knowledge base (e.g., standardizing SQL coding styles, version control best practices). **Other Duties (10%)** * Perform ad hoc analyses as requested by leadership. * Participate in special projects and cross-functional working groups. **Minimum Qualifications** * **Education:** Bachelor’s degree in Business, Analytics, Mathematics, Statistics, Computer Science, or related field required. * **Experience:** * 3+ years of experience in data analytics, reporting, or business intelligence. * Demonstrated experience leading projects or components of large initiatives. * Preferred experience with NCQA, HEDIS, and Stars reporting and analysis. * **Technical Skills:** * **SQL:** Advanced proficiency required (writing complex queries, joins, and stored procedures). * **Tableau:** Intermediate to Advanced proficiency required (calculated fields, LOD expressions, dashboard design). * **Excel/PowerPoint:** Advanced proficiency required. * Experience with **Python** or **R** is a plus. **Competencies** * **Critical Thinking:** Ability to diagnose challenges, ask context-setting questions, and design solutions independently. * **Business Acumen:** Understands how the scope of work connects to broader DaVita and IKC business priorities. * **Communication:** Can explain complex technical concepts to non-technical stakeholders and clearly articulate the value of analytical findings. **What We’ll Provide:** More than just pay, our DaVita Rewards package connects teammates to what matters most. Teammates are eligible to begin receiving benefits on the first day of the month following or coinciding with one month of continuous employment. Below are some of our benefit offerings. * **Comprehensive benefits:** Medical, dental, vision, 401(k) match, paid time off, PTO cash out * **Support for you and your family:** Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more * **Professional development programs:** DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform StarLearning. #LI-CM5 At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as \"a place where I belong.\" Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic. This position will be open for a minimum of three days. The Salary Range for the role is $76,000.00 - $104,000.00 per year. If a candidate is hired, they will be paid at least the minimum wage according to their geographical jurisdiction and the exemption status for the position. New York Exempt: New York City and Long Island: $66,300.00/year, Nassau, Suffolk, and Westchester counties: $66,300.00/year, Remainder of New York state: $62,353.20/year New York Non-exempt: New York City and Long Island: $17.00/hour, Nassau, Suffolk, and Westchester counties: $17.00/hour, Remainder of New York state: $16.00/hour Washington Exempt: $80,168.40/year Washington Non-exempt: Bellingham: $19.13/hour, Burien: $21.63/hour, Everette: $20.77/hour, Unincorporated King County: $20.82/hour, Renton: $21.57/hour, Seattle: $21.30/hour, Tukwila: $21.65/hour, Remainder of Washington state: $17.13/hour For location-specific minimum wage details, see the following link: [DaVita.jobs/WageRates](https://davita.jobs/WageRates) Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at [https://careers.davita.com/benefits](https://careers.davita.com/benefits) **Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.**", "summaryDescription" : "Analytics and Reporting Sr Analytics (IKC) at Davita. Skills: Data Analytics, Reporting, Business Intelligence, Project Leadership. Lead analytics projects. Translate business requirements into functional specifications", "postedDate" : "2026-06-10T15:50:34.803", "createdAt" : "2026-06-11T15:50:34.470", "lastUpdated" : "2026-06-12T19:45:26.860", "ingestTimestamp" : "2026-06-11T15:50:34.470", "mongoId" : "6a2a826074d8ee00a06732e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://davita.wd1.myworkdayjobs.com/DKC_External/job/09567---Denver-HQ-Non-CA-or-CO-Remote/Analytics-and-Reporting-Sr-Analytics--IKC-_R0463000", "salaryAnnualMin" : 76000, "salaryAnnualMax" : 104000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Reporting", "Data validation", "Dashboard design", "Trend identification", "Variance analysis", "Hypothesis formulation", "Methodology design", "SQL coding", "Version control", "Critical Thinking", "Business Acumen", "Mentorship", "Data Analytics", "Business Intelligence", "Project Leadership", "Quality reporting", "Population health management", "Business intelligence", "Data integrity", "Advanced analytics", "Clinical operations", "Payor collaboration", "Project leadership", "Timeline management", "Renal population health management", "Integrated Kidney Care (IKC)", "Stars reporting", "HEDIS reporting", "NCQA", "Tableau", "Excel", "PowerPoint" ], "skillCount" : 33, "jobCategory" : "other", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 938.3585, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "69cf3f032beec4dd3d933f7e", "title" : "Sr. Software Development Engineer, Advanced Analytics", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:19:02.875", "fingerprint" : "40178e250bea9c30021aaa5be4903ebcc4c67833919a416cc6a07c898b8f34dc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381945/apply", "externalId" : "cc36095a-6657-4f60-a56e-6058a41ed5a4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Data modeling, Data processing, Data storage, Data analysis, Cloud", "professionalSkills" : [ "Analytical abilities", "System architecture", "Operational excellence" ], "hardSkillsList" : [ "Real-time data processing", "Batch data processing", "Data quality frameworks", "Data lineage", "Audit trails", "High-throughput writes", "Analytical queries" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Real-time data processing", "level" : "intermediate" }, { "name" : "Batch data processing", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Audit trails", "level" : "intermediate" }, { "name" : "High-throughput writes", "level" : "intermediate" }, { "name" : "Analytical queries", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Advanced Analytics, Data Engineering, Infrastructure Development", "majorSkillsList" : [ "Advanced Analytics", "Data Engineering", "Infrastructure Development" ], "coreResponsibilities" : "Design data pipelines, Build data pipelines, Ingest log data, Process log data, Store log data, Architect distributed systems, Enable real-time processing, Enable batch processing, Develop data quality frameworks, Validate raw data, Cleanse raw data, Enrich raw data, Maintain data lineage, Maintain audit trails, Create storage solutions, Optimize for writes, Optimize for queries, Build APIs, Build data access layers, Collaborate with data scientists, Collaborate with product managers, Collaborate with business stakeholders, Establish operational excellence, Implement monitoring, Implement alerting, Implement automated recovery, Mentor junior engineers, Contribute to technical direction, Drive innovation, Explore emerging technologies", "teamCollaboration" : "Data scientists; Product managers; Business stakeholders; Junior engineers", "domainKnowledge" : "Programmatic advertising; Log-level data; Ad servers; Ad exchanges; SSPs; Supply chain transparency; Auction competitiveness; Floor pricing", "domainList" : [ "programmatic-advertising", "log-level-data", "ad-servers", "ad-exchanges", "ssps", "supply-chain-transparency", "auction-competitiveness", "floor-pricing" ], "domainSpecificKnowledge" : [ "Programmatic advertising", "Log-level data", "Ad servers", "Ad exchanges", "SSPs", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "innovationCreativity" : "Drive innovation; Explore emerging technologies", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Understand auction competitiveness; Identify revenue opportunities; Optimize floor pricing; Ensure supply chain transparency", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years system design/architecture experience, Experience as mentor or tech lead", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science, Experience with NLP, Experience with generative models, Track record of AI solution development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering cutting-edge AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions. In the programmatic advertising industry, transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level data—granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs—provides advertisers with unprecedented visibility into individual ad impressions, bid prices, viewability scores, and supply path. This role will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale, empowering our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency. As a Senior Software Development Engineer on the Log-Level Data team, you will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale. Your work will empower our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency for Amazon's largest advertising partners. The ideal candidate is a creative, demonstrated leader with excellent analytical abilities and a strong drive to deliver results. You should be passionate about solving complex technical challenges, comfortable operating in ambiguous environments, and excited about the opportunity to build foundational infrastructure that will power the next generation of advertising measurement and transparency solutions. This role requires deep technical expertise, strong problem-solving skills, and exceptional communication abilities. You should be able to think strategically about system architecture while also diving deep into implementation details. You'll need to balance competing priorities, make pragmatic trade-offs, and maintain high standards for code quality and operational excellence. Key job responsibilities - Design and build highly scalable, fault-tolerant data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources including ad servers, exchanges, and SSPs - Architect distributed systems that enable real-time and batch processing of granular event-level data with sub-second latency requirements - Develop robust data quality frameworks to validate, cleanse, and enrich raw log data while maintaining data lineage and audit trails - Create efficient storage solutions optimized for both high-throughput writes and complex analytical queries across massive datasets - Build APIs and data access layers that enable downstream analytics, modeling, and reporting applications to leverage log-level data - Collaborate with data scientists, product managers, and business stakeholders to translate transparency and measurement requirements into technical solutions - Establish operational excellence practices including monitoring, alerting, and automated recovery mechanisms for mission-critical data infrastructure - Mentor junior engineers and contribute to the technical direction of the team through design reviews, code reviews, and architectural discussions - Drive innovation in data processing techniques, exploring emerging technologies and methodologies to improve system performance and capabilities Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with natural language processing and generative model architectures - Demonstrated track record of innovative AI solution development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Advanced Analytics at Amazon.com Services LLC. Skills: Advanced Analytics, Data Engineering, Infrastructure Development. Design data pipelines. Build data pipelines", "postedDate" : "2026-06-13T07:20:56.889", "createdAt" : "2026-06-13T07:20:56.889", "lastUpdated" : "2026-06-15T02:19:02.875", "ingestTimestamp" : "2026-06-13T07:20:56.889", "mongoId" : "69cf3f032beec4dd3d933f7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381945/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Real-time data processing", "Batch data processing", "Data quality frameworks", "Data lineage", "Audit trails", "High-throughput writes", "Analytical queries", "Leadership", "Mentoring", "Advanced Analytics", "Data Engineering", "Infrastructure Development", "Analytical abilities", "System architecture", "Operational excellence", "Programmatic advertising", "Log-level data", "Ad servers", "Ad exchanges", "SSPs", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 910.89124, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2c743c74d8ee00a0934630", "title" : "Staff Analyst - Operational Analytics & Reporting", "company" : "Openly", "industry" : "Operations", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Analyst in the US Insurance industry, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CPCU" ], "timestamp" : "2026-06-15T22:15:47.461", "fingerprint" : "d29f12f25d5661d588d9966114d434f944c90066ac50988d8dbe410614b8b3be", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openly/5bfa71a0-a922-4636-9522-53a77ad260ec/application", "externalId" : "5bfa71a0-a922-4636-9522-53a77ad260ec", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, LookerStudio", "professionalSkills" : [ "Analytical Framework", "Process Architecture", "Business Case Leadership", "Stakeholder Diplomacy", "Storytelling" ], "hardSkillsList" : [ "Predictive modeling", "AI leveraging" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "AI leveraging", "level" : "intermediate" } ], "majorSkills" : "Operational Analytics, Reporting, Data Strategy", "majorSkillsList" : [ "Operational Analytics", "Reporting", "Data Strategy" ], "coreResponsibilities" : "Translate objectives into analytical projects, Design and standardize reporting methodologies, Calculate key business health metrics, Lead development of business cases, Integrate ROI analysis, Assess downstream data impact, Serve as analytical consultant, Prioritize initiatives based on data potential, Translate data into narratives, Lead stakeholders to insights, Lead stakeholders to decisions", "teamCollaboration" : "Cross-functional influence; Analytical consultant for department heads", "projectManagementSkills" : [ "Manage vague projects" ], "domainKnowledge" : "Personal lines insurance; Homeowners insurance; Auto insurance; Insurance operational functions; Property claims", "domainList" : [ "personal-lines-insurance", "homeowners-insurance", "auto-insurance", "insurance-operational-functions", "property-claims" ], "domainSpecificKnowledge" : [ "Personal lines insurance", "Homeowners insurance", "Auto insurance", "Insurance operational functions", "Property claims" ], "toolProficiency" : [ "LookerStudio" ], "communicationSkills" : "Executive-ready narratives", "problemSolvingSkills" : "Analytical frameworks", "qualificationsBasic" : "Several years of experience in personal lines insurance analytics, Expert-level SQL, Experience building predictive models, Experience leveraging AI, Advanced LookerStudio expertise, Mastery of insurance operational functions, Ability to manage vague projects", "qualificationsPreferred" : "Homeowners and Auto analytics experience, Experience in property claims, Progress toward actuarial exams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "JOB DETAILS Openly is seeking a Staff Analyst to join the Finance & Strategy team. This role serves as a critical link between high-level strategic vision and tactical operational delivery. Reporting to the Senior Director of Operations Analytics and Reporting, you will move beyond functional support to own the analytical frameworks for our most significant business drivers. The ideal candidate has mastered the \"how\" of insurance analytics and is ready to take ownership of the \"what next.\" You will not only provide insights to stakeholders across the organization but will also proactively identify where our data strategy needs to evolve to meet company objectives. In this role, you would serve as the lead solution designer for the team by leveraging deep technical expertise to design durable, cross-functional reporting & analysis. KEY RESPONSIBILITIES Analytical Framework & Strategy - Bridge the Gap: Translate broad leadership objectives into structured analytical projects with defined milestones, moving from \"answering questions\" to \"building solutions.\" - Process Architecture: Design and standardize reporting methodologies across the team to ensure that metrics key business health metrics are calculated with unified logic across all operational functions. - Business Case Leadership: Lead the development of complex business cases for new initiatives, integrating ROI analysis with downstream data impact assessments. Cross-Functional Influence - Stakeholder Diplomacy: Serve as the primary analytical consultant for department heads, helping them prioritize their upcoming initiatives as well as new ideas based on data-driven potential. - Storytelling: Translate complex data into compelling, executive-ready narratives that don't just report numbers, but actively lead stakeholders to critical insights and balanced decisions regarding growth and profitability. REQUIREMENTS - Experience: Several years of experience in personal lines insurance analytics (Homeowners and Auto highly preferred). - Technical Mastery: Expert-level SQL and experience / interest in building predictive models and leveraging AI - Visualization: Advanced LookerStudio expertise, specifically in building executive reporting suites that roll up operational data into strategic dashboards. - Cross-Functional Synthesis: Deep mastery of insurance operational functions (auto and or property claims is a plus) with the strategic confidence to act as a \"connective tissue\" for leadership—leveraging a macro-view of the data to identify dependencies and opportunities across the entire value chain. - Autonomy: Proven ability to manage \"vague\" projects, creating structure where none exists without needing daily direction. - Education/Designation: Degree in a quantitative field; CPCU or progress toward actuarial exams is a strong plus. #LI-CB", "summaryDescription" : "Staff Analyst - Operational Analytics & Reporting at Openly. Skills: Operational Analytics, Reporting, Data Strategy. Translate objectives into analytical projects. Design and standardize reporting methodologies", "createdAt" : "2026-06-14T18:48:23.828", "lastUpdated" : "2026-06-15T22:15:47.461", "ingestTimestamp" : "2026-06-14T18:48:23.828", "mongoId" : "6a2c743c74d8ee00a0934630", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "AI leveraging", "Operational Analytics", "Reporting", "Data Strategy", "Analytical Framework", "Process Architecture", "Business Case Leadership", "Stakeholder Diplomacy", "Storytelling", "Manage vague projects", "Personal lines insurance", "Homeowners insurance", "Auto insurance", "Insurance operational functions", "Property claims", "CPCU", "LookerStudio" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 903.50134, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f032beec4dd3d933f7d", "title" : "Software Development Engineer, Advanced Analytics - LLD", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:17:27.319", "fingerprint" : "ebf9b61c0054a64a2e9d2ca833e70fc012de0f99e251c86fadf4b33f69032ee1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381944/apply", "externalId" : "9547ad48-07e4-4d92-bef4-01c73d92de7c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "C#, C++, Java, Perl", "professionalSkills" : [ "Data solutions", "AI modeling", "Data analysis" ], "hardSkillsList" : [ "Log-level data analysis", "Data processing", "Data storage", "API development", "Data quality checks", "Performance optimization", "Cost optimization" ], "hardSkills" : [ { "name" : "Log-level data analysis", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "majorSkills" : "Advanced analytics, Data engineering, Software development", "majorSkillsList" : [ "Advanced analytics", "Data engineering", "Software development" ], "coreResponsibilities" : "Implement scalable data pipelines, Ingest log-level advertising data, Process log-level advertising data, Store log-level advertising data, Build ETL workflows, Transform event-level data, Develop data storage components, Develop data access layers, Create APIs for data querying, Implement data quality checks, Implement data validation logic, Implement monitoring for data pipelines, Optimize data processing performance, Optimize data processing cost, Optimize query performance, Optimize query cost, Write clean code, Write well-tested code, Participate in code reviews, Understand technical requirements, Contribute to design discussions, Debug production issues, Participate in on-call rotations, Document systems, Document processes, Document runbooks", "teamCollaboration" : "Senior engineers; Analytics teams; Data scientists", "domainKnowledge" : "Programmatic advertising; Log-level data; Supply chain transparency; Auction competitiveness; Floor pricing", "domainList" : [ "programmatic-advertising", "log-level-data", "supply-chain-transparency", "auction-competitiveness", "floor-pricing" ], "domainSpecificKnowledge" : [ "Programmatic advertising", "Log-level data", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "documentationSkills" : "Document systems; Document processes; Document runbooks", "innovationCreativity" : "Innovative AI solution development", "problemSolvingSkills" : "Debug production issues", "specialRequirements" : "On-call rotations", "outcomesObjectives" : "Empower smarter advertising decisions; Empower faster advertising decisions; Empower impactful advertising decisions; Understand auction competitiveness; Identify revenue opportunities; Optimize floor pricing; Ensure supply chain transparency", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, 1+ years software development engineer experience, 1+ years large-scale distributed software experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science or equivalent, Demonstrated track record of innovative AI solution development, Experience with natural language processing, Experience with generative model architectures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering cutting-edge AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions. In the programmatic advertising industry, transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level data—granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs—provides advertisers with unprecedented visibility into individual ad impressions, bid prices, viewability scores, and supply path. This role will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale, empowering our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency. As a Software Development Engineer on the Log-Level Data team, you will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale. Your work will empower our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency for Amazon's largest advertising partners. Key job responsibilities - Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs) - Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns and best practices - Develop components of data storage solutions and access layers, working within existing system architectures - Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently - Implement data quality checks, validation logic, and monitoring for assigned data pipelines and services - Optimize performance and cost efficiency of existing data processing jobs and queries - Write clean, well-tested code and participate in code reviews to maintain high engineering standards - Collaborate with senior engineers to understand technical requirements and contribute to design discussions - Debug and resolve production issues, participating in on-call rotations as needed - Document systems, processes, and runbooks to support operational excellence Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Demonstrated track record of innovative AI solution development - Experience with natural language processing and generative model architectures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Advanced Analytics - LLD at Amazon.com Services LLC. Skills: Advanced analytics, Data engineering, Software development. Implement scalable data pipelines. Ingest log-level advertising data", "postedDate" : "2026-06-13T02:35:33.647", "createdAt" : "2026-06-13T02:35:33.647", "lastUpdated" : "2026-06-15T02:17:27.319", "ingestTimestamp" : "2026-06-13T02:35:33.647", "mongoId" : "69cf3f032beec4dd3d933f7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381944/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Log-level data analysis", "Data processing", "Data storage", "API development", "Data quality checks", "Performance optimization", "Cost optimization", "Advanced analytics", "Data engineering", "Software development", "Data solutions", "AI modeling", "Data analysis", "Programmatic advertising", "Log-level data", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 888.97516, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2a492874d8ee00a05e3d45", "title" : "Manager, Software Development (Enterprise Reporting Analytics)", "company" : "New York ISO", "industry" : "Energy", "salary" : { "min" : 117900.0, "max" : 204400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Rensselaer, New York, United States", "locations" : [ "Rensselaer", "New York", "United States" ], "timestamp" : "2026-06-14T22:12:35.791", "fingerprint" : "15280fe4b189b02362f24c23c61ff54567e42198159cb1a74092179d5a36e200", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nyiso/jobs/5155542007", "externalId" : "5155542007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rensselaer", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.7091389,-73.5107732" } ], "locationText" : "Rensselaer, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Reporting, Business intelligence, Data analytics, Data integration, Software solutions", "professionalSkills" : [ "Product roadmaps", "IT strategy", "Business objectives", "Data quality", "Technical debt", "IT standards", "Change management", "Software development", "Data integration", "Automation", "Reporting performance", "Analytics capabilities", "Enterprise data strategy", "Product portfolio", "Regulatory requirements", "IT management", "Business systems architecture" ], "hardSkillsList" : [ "Requirements analysis", "Design specifications", "Test strategy", "System maintenance", "Technical best practices", "Compliance obligations", "Resource assignments", "Software engineering processes" ], "softSkillsList" : [ "Leadership", "Judgment", "Problem-solving", "Prioritization", "Mentoring" ], "hardSkills" : [ { "name" : "Requirements analysis", "level" : "intermediate" }, { "name" : "Design specifications", "level" : "intermediate" }, { "name" : "Test strategy", "level" : "intermediate" }, { "name" : "System maintenance", "level" : "intermediate" }, { "name" : "Technical best practices", "level" : "intermediate" }, { "name" : "Compliance obligations", "level" : "intermediate" }, { "name" : "Resource assignments", "level" : "intermediate" }, { "name" : "Software engineering processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" }, { "name" : "Problem-solving" }, { "name" : "Prioritization" }, { "name" : "Mentoring" } ], "majorSkills" : "Software development, Reporting, Data analytics", "majorSkillsList" : [ "Software development", "Reporting", "Data analytics" ], "coreResponsibilities" : "Lead team developing reporting solutions, Maintain reporting solutions, Modernize reporting solutions, Support reporting solutions, Deliver reporting capabilities, Support operational decision-making, Support regulatory reporting, Support stakeholder reporting, Support business performance monitoring, Support enterprise data needs, Oversee software development lifecycle, Manage requirements analysis, Manage design, Manage development, Manage testing, Manage implementation, Manage production support, Manage lifecycle management, Partner with business owners, Partner with product management, Partner with IT leadership, Define priorities, Develop product roadmaps, Manage delivery commitments, Align solutions with objectives, Ensure reliability of reporting systems, Ensure availability of reporting systems, Ensure continuous improvement of reporting systems, Manage production support, Manage incident response, Manage release readiness, Manage data quality, Manage technical debt reduction, Manage modernization, Ensure compliance with IT standards, Define technical direction, Improve data integration, Improve automation, Improve reporting performance, Improve analytics capabilities, Align with enterprise data strategy, Manage staff, Manage budget, Lead product creation, Lead product enhancement, Lead product development, Lead product evolution, Lead product improvement, Produce product development roadmaps, Recruit technical staff, Develop technical staff, Retain technical staff, Build team bench strength, Develop direct reports, Mentor direct reports, Set individual goals, Set team goals, Manage performance, Empower team, Meet product objectives, Meet project objectives, Use software development best practices, Use testing best practices, Collaborate with managers, Ensure software compatibility, Coordinate software releases, Contribute to scope definition, Review software requirements, Approve software requirements, Review design specifications, Approve design specifications, Communicate functionality, Communicate design alternatives, Identify requirement questions, Facilitate requirement question resolution, Identify scope questions, Facilitate scope question resolution, Identify schedule questions, Facilitate schedule question resolution, Coordinate IT teams, Develop test strategy, Ensure project schedules met, Ensure testing efforts not invalidated, Coordinate IT teams for maintenance, Ensure maintenance without conflict, Stay current with technical best practices, Stay current with technical trends, Develop IT standards, Maintain IT standards, Partner with Internal Audit, Ensure adherence to regulations, Ensure adherence to compliance, Own software development activities, Own testing activities, Own resource assignments, Ensure best practices utilized, Create development tasks, Monitor progress, Remove roadblocks, Ensure plans maintained, Communicate plans, Participate in IT strategic goal development, Participate in IT strategic plan development, Participate in process improvement, Ensure IT strategic goals met, Ensure IT strategic plans met, Create IT Roadmap documents, Maintain IT Roadmap documents, Provide metrics to Senior Management, Meet with IT Senior Management, Review plans, Review progress, Manage development coordination", "teamCollaboration" : "Cross-functional initiatives; Other IT teams; Business owners; Product management; IT leadership; Internal stakeholders; Vendors", "projectManagementSkills" : [ "Roadmap planning", "Scope definition", "Project schedules" ], "domainKnowledge" : "Enterprise reporting; Business intelligence; Data analytics; Electricity system operations; Wholesale electricity markets; Energy future planning; Regulated environment", "domainList" : [ "enterprise-reporting", "business-intelligence", "data-analytics", "electricity-system-operations", "wholesale-electricity-markets", "energy-future-planning", "regulated-environment" ], "domainSpecificKnowledge" : [ "Enterprise reporting", "Business intelligence", "Data analytics", "Electricity system operations", "Wholesale electricity markets", "Energy future planning", "Regulated environment" ], "communicationSkills" : "Presentations; Technical procedures", "documentationSkills" : "IT standards documentation; IT Roadmap documents", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "specialRequirements" : "Work nights, Work weekends, Work holidays, Respond to business needs", "outcomesObjectives" : "Deliver trusted reporting capabilities; Deliver secure reporting capabilities; Deliver high-quality reporting capabilities; Improve data integration; Improve automation; Improve reporting performance; Improve analytics capabilities; Align with enterprise data strategy; Ensure reliability; Ensure availability; Ensure continuous improvement; Reduce technical debt; Meet product objectives; Meet project objectives; Ensure compatibility; Ensure project schedules met; Ensure IT strategic goals met; Ensure IT strategic plans met", "qualificationsBasic" : "Five years experience in full software development life-cycle", "qualificationsPreferred" : "Experience in the energy industry", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The New York Independent System Operator (NYISO) manages the efficient flow of electricity on more than 11,000 circuit-miles of high-voltage transmission lines, dispatching power from hundreds of generating units across the state. The New York Independent System Operator (NYISO) applies cutting-edge technology to operating a reliable electricity system, managing competitive markets for wholesale electricity, and planning for the Empire State's energy future. The NYISO’s Information Technology department invites applications for a full-time Manager, Software Development to support the Enterprise Reporting Analytics team. The Manager, Enterprise Reporting Analytics leads the team responsible for developing, maintaining, modernizing, and supporting enterprise reporting, business intelligence, data analytics, dashboards, data integrations, and related software solutions. This role is accountable for delivering trusted, secure, high-quality reporting capabilities that support operational decision-making, regulatory and stakeholder reporting, business performance monitoring, and enterprise data needs across the organization. The Manager oversees all phases of the software development lifecycle for the team’s applications and reporting platforms, including requirements analysis, design, development, testing, implementation, production support, and lifecycle management. The role partners closely with business owners, product management, IT leadership, and other technology teams to define priorities, develop product roadmaps, manage delivery commitments, and align reporting and analytics solutions with strategic business objectives. This position is responsible for the reliability, availability, and continuous improvement of critical enterprise reporting systems, including production support, incident response, release readiness, data quality, technical debt reduction, modernization, and compliance with IT standards for security, change management, testing, and software development. The Manager also defines and communicates the strategic technical direction for the team’s application portfolio, including opportunities to improve data integration, automation, reporting performance, analytics capabilities, and alignment with enterprise data strategy. The successful candidate will be a collaborative, customer-focused technology leader with strong judgment, communication, problem-solving, and prioritization skills. The role requires the ability to manage competing priorities, lead cross-functional initiatives, support critical business operations, work effectively with vendors and internal stakeholders, and continuously improve the value, quality, and resiliency of enterprise reporting and analytics services. ESSENTIAL DUTIES and RESPONSIBILITIES Manage a staff of approximately 10 Software Engineers and QA professionals with a budgetary impact of over $1 million. Lead processes for creating, enhancing, developing, evolving and improving internal products as identified in the product portfolio. Produce and own product development roadmaps. Consider regulatory requirements, the NYISO strategic plan, Information Technology strategy, internal and external stakeholder input. Recruit, develop and retain highly talented technical staff and maintain a balanced mix of technical skills to handle current and future business and technical needs. Build and maintain team bench strength to ensure the ongoing ability to provide effective software development and testing. Develop and mentor direct reports to ensure ongoing team professional development, including setting individual and team goals and managing performance. Empower team to meet the product and project objectives using software development and testing best practices. Collaborate with other Software Development Managers to ensure compatibility with other company produced software and coordinate software releases. Contribute to scope definition for projects, review and approve software requirements and design specifications, work with business analysts and customers to understand and effectively communicate functionality and design alternatives. Identify and facilitate the resolution of open questions related to project requirements, scope, and schedule. Coordinate with other IT teams across projects to develop a test strategy including the usage of testing environments to ensure all project schedules are met and overlapping efforts do not invalidate testing efforts. Plan and coordinate with other IT teams to ensure system maintenance activities are achieved without conflicting with business plan commitments. Stay current with technical best practices and trends to develop and maintain IT standards and documentation. Partner with Internal Audit team to ensure adherence to current regulations and compliance obligations. Own the software development, testing activities, and resource assignments for all development projects impacting your team’s applications. Ensure best practices are utilized throughout the software development life cycle. Create and provide development tasks and estimates; collaborate with project managers to monitor progress, remove roadblocks for teams and ensure plans are maintained and communicated to key personnel and appropriate work groups on a regular basis. Participate with IT management in the development of IT strategic goals and plans, participate in the development and continuous improvement of the NYISO software engineering processes and best practices. Ensure IT strategic goals and plans are met. Create and maintain IT Roadmap documents outlining plans and progress towards achieving IT strategic goals for the applications supported by your team. Maintain and provide related metrics to IT Senior Management. Meet monthly with IT Senior Management to review plans and progress. Manage the coordination of development and testing activities to optimize efforts, facilitate the identification and removal of defects during system and user acceptance testing, and ensure that software quality objectives are achieved. Ensure appropriate software documentation is created and maintained including deployment plans, maintenance and support plans, developer guides, etc. Own and manage product support and related on-call rotational assignments for continuous (24x7x365) business operation for all applications that your team owns Participate in a 24x7 on call rotation on a regular basis where you will be expected to manage critical priority triages of software, network, and other NYISO systems, lead the service restoration efforts, and communicate status to Senior Management. Manage change requests, incidents, customer inquiries, and problem tickets to ensure prompt follow-up and timely resolution. Understand and adhere to ITIL processes and best practices related to change and incident management. Build and maintain a relationship with third-party software vendors. Ensure work is appropriately prioritized, quality and support levels are sufficient and escalate with vendor support hierarchy as necessary. Develop and maintain a team budget, create 5-year projections for capital and non-capital spending. Partner with NYISO Procurement team to negotiate with vendors for favorable contract terms, purchase prices and maintenance costs. Collaborate with IT Management in setting the overall IT department budget. Collaborate with Senior Management to develop and implement Information Technology policies and procedures. SUPERVISORY RESPONSIBILITIES This position does possess supervisory responsibility and there are non-supervisory employees who report to this position. QUALIFICATIONS: Bachelor's degree from four-year college or university in Computer Science, Information Technology, Management, Electrical Engineering, Mathematics or related field. Minimum seven years related experience demonstrating progressively more responsibility (e.g., software development, technical lead and/or supervision). Minimum three years’ experience working in mission critical / enterprise information technology environment. Minimum five years’ experience in a full software development life-cycle environment. Experience in the energy industry highly desired but not required. CERTIFICATES, LICENSES, REGISTRATIONS None ADDITIONAL REQUIREMENTS Fundamental understanding of enterprise information technology including network, storage, database technology, languages and tools, and application architecture. Basic understanding of the economic fundamentals of IT management (budgets, project estimates, cost estimates, labor rates, etc.). Good understanding of the essentials of business systems architecture. Demonstrated ability to operate successfully in a highly regulated environment. Capable of analyzing and interpreting professional journals or technical procedures. Self-directed and independent worker and manager with the ability to take direction from a manager and implement it without direct supervision. Able to communicate with technical and non-technical people including customers and vendors. Able to lead meetings and present to 50 or more people. Ability to exert leadership in a highly collaborative environment. Strong team orientation. PHYSICAL DEMANDS While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand, walk, sit and use hands to perform routine office tasks. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WORK ENVIRONMENT The noise level in the work environment is usually moderate. Contact with staff and public will occur. Travel may be required to attend and/or conduct meetings, conferences and training. This position may require work on nights, weekends or holidays. At the NYISO, we realize the importance of balancing the availability of remote work with the inherent value of bringing people together to attain success in the areas of maximum collaboration, relationship building and growth, teamwork, innovation and problem solving, as well as professional development and mentoring. In this role, you will be required to work onsite from our Rensselaer, NY location several days per workweek, with the option to work remotely on the remaining days. You will also be expected to respond to all business needs that may require any increase to the regular onsite requirements. The NYISO takes pride in recruiting, developing and retaining highly talented individuals. In addition to competitive salaries, we offer a comprehensive benefits package and innovative reward programs. All offers of employment will be made contingent upon the successful completion of a drug screening and background check. The NYISO is an Equal Opportunity Employer and as such, does not discriminate in its hiring or employment practices. #LI-Hybrid Salary Range $117,900—$204,400 USD", "summaryDescription" : "Manager, Software Development (Enterprise Reporting Analytics) at New York ISO. Skills: Software development, Reporting, Data analytics. Lead team developing reporting solutions. Maintain reporting solutions", "postedDate" : "2026-06-11T19:25:14.398", "createdAt" : "2026-06-11T19:25:14.398", "lastUpdated" : "2026-06-14T22:12:35.791", "ingestTimestamp" : "2026-06-11T19:25:14.398", "mongoId" : "6a2a492874d8ee00a05e3d45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 117900, "salaryAnnualMax" : 204400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Requirements analysis", "Design specifications", "Test strategy", "System maintenance", "Technical best practices", "Compliance obligations", "Resource assignments", "Software engineering processes", "Leadership", "Judgment", "Problem-solving", "Prioritization", "Mentoring", "Software development", "Reporting", "Data analytics", "Product roadmaps", "IT strategy", "Business objectives", "Data quality", "Technical debt", "IT standards", "Change management", "Data integration", "Automation", "Reporting performance", "Analytics capabilities", "Enterprise data strategy", "Product portfolio", "Regulatory requirements", "IT management", "Business systems architecture", "Roadmap planning", "Scope definition", "Project schedules", "Enterprise reporting", "Business intelligence", "Electricity system operations", "Wholesale electricity markets", "Energy future planning", "Regulated environment" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "information-technology", "dataQualityScore" : 1.0, "_score" : 888.747, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy" }, { "id" : "6a2c6b8774d8ee00a091310d", "title" : "People Analytics Manager", "company" : "Flora Food Group", "industry" : "Food & Beverage", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in People Analytics in Bengaluru, India, adjusted for the Food & Beverage industry and Flora Food Group's likely company size." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-15T07:18:35.520", "fingerprint" : "a89d7d8f24962c0e52d100a41131abdb66e71fe7440e7e11f1068c4c667c55d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.florafoodgroup.com/careers/join-flora-food-group/8578749002?gh_jid=8578749002", "externalId" : "8578749002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, APIs, Integrations, Cloud-based data platforms, Data warehousing concepts, AWS, GCP, Azure", "professionalSkills" : [ "Business insight", "Workforce planning", "Talent decisions", "Organisational effectiveness", "Business performance", "Stakeholder management", "Data governance", "Leadership", "Continuous improvement", "Business partnering", "Commercial acumen" ], "hardSkillsList" : [ "People analytics", "HR reporting", "Workforce analytics", "Data analysis", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data quality management", "Data privacy compliance", "GDPR compliance" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "People analytics", "level" : "intermediate" }, { "name" : "HR reporting", "level" : "intermediate" }, { "name" : "Workforce analytics", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Data privacy compliance", "level" : "intermediate" }, { "name" : "GDPR compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "People analytics, HR reporting, Data visualization, Stakeholder management", "majorSkillsList" : [ "People analytics", "HR reporting", "Data visualization", "Stakeholder management" ], "coreResponsibilities" : "Own global people analytics delivery, Own global reporting delivery, Own global dashboards delivery, Own ad hoc analysis delivery, Develop meaningful insights, Support workforce planning, Support talent decisions, Support performance analysis, Support engagement analysis, Support diversity analysis, Support organisational effectiveness analysis, Present trends to senior leaders, Present risks to senior leaders, Present opportunities to senior leaders, Present recommendations to senior leaders, Translate complex data into narratives, Design Power BI dashboards, Build Power BI dashboards, Maintain Power BI dashboards, Ensure reporting accuracy, Ensure reporting scalability, Ensure reporting user-friendliness, Align reporting to business priorities, Drive adoption of analytics tools, Drive adoption of self-service reporting, Lead evolution of reporting products, Own global reporting standards, Own global metrics definitions, Own global governance frameworks, Ensure people data accuracy, Ensure people data security, Ensure people data privacy compliance, Resolve data quality issues, Improve data integrity, Manage access controls, Manage governance processes, Act as primary point of contact, Build relationships across HR, Build relationships across Finance, Build relationships across Digital, Build relationships across Data teams, Challenge assumptions, Identify opportunities, Support senior stakeholders, Communicate data limitations, Communicate governance standards, Communicate reporting methodologies, Drive automation of reporting processes, Reduce manual effort, Explore new tools, Explore new methodologies, Explore new visualisation techniques, Lead external development partners, Ensure delivery quality, Ensure alignment to business requirements, Partner with HRIT, Partner with Data Analytics teams, Partner with Automation teams, Ensure analytics architecture alignment, Ensure systems architecture alignment, Ensure data architecture alignment, Manage third-party providers, Manage external developers, Manage delivery partners", "teamCollaboration" : "Partner with HRIT; Partner with People & Organisation leaders; Partner with HR Business Partners; Partner with Finance; Partner with Digital teams; Partner with Data teams; Partner with HR; Partner with Data Analytics teams; Partner with Automation teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People analytics; HR technology; Workforce analytics; Talent management; Organizational effectiveness; Data privacy; GDPR", "domainList" : [ "people-analytics", "hr-technology", "workforce-analytics", "talent-management", "organizational-effectiveness", "data-privacy", "gdpr" ], "domainSpecificKnowledge" : [ "People analytics", "HR technology", "Workforce analytics", "Talent management", "Organizational effectiveness", "Data privacy", "GDPR" ], "toolProficiency" : [ "Power BI", "SuccessFactors", "Greenhouse" ], "communicationSkills" : "Presenting dashboards; Presenting recommendations; Presenting data-driven stories; Clear communication; Succinct communication", "continuousLearning" : "Continuous improvement mindset", "innovationCreativity" : "Explore new tools; Explore new methodologies; Explore new visualisation techniques", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Shape the future of people analytics; Enable leaders make better decisions", "qualificationsBasic" : "Proven experience in people analytics, Proven experience in HR reporting, Proven experience in workforce analytics, Proven experience in data-focused roles, Hands-on experience designing dashboards, Hands-on experience developing dashboards, Experience owning end-to-end reporting products, Experience delivering insights to senior stakeholders, Advanced Excel skills, Understanding of data structures, Understanding of governance, Understanding of reporting standards, Ability to work effectively with technical audiences, Ability to work effectively with non-technical audiences", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Specific ML framework experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Turn people data into business insight — shaping workforce decisions, enabling leaders, and building the analytics capability that powers Flora Food Group globally. Position: People Analytics Manager Location: Bengaluru, India, Hybrid About the position As People Analytics Manager, you will own Flora Food Group's global people analytics, reporting, and insight capability. Reporting to the HR Information Technology Lead, this is a highly visible role operating across the global People & Organisation function. You will be responsible for ensuring our people data is trusted, accessible, secure, and transformed into meaningful insight that supports workforce planning, talent decisions, organisational effectiveness, and business performance. You will partner closely with HRIT, People & Organisation leaders, HR Business Partners, Finance, Digital, and Data teams to deliver world-class analytics products and dashboards. Beyond reporting, you will act as a trusted advisor to senior stakeholders, helping them understand the story behind the data and enabling better decision-making. This role combines technical expertise, stakeholder management, data governance, and leadership. You will oversee external development resources, drive continuous improvement, and play a critical role in shaping the future of people analytics across Flora Food Group. Key responsibilities include: People Analytics & Insights Own the delivery of global people analytics, reporting, dashboards, and ad hoc analysis. Develop meaningful insights that support workforce planning, talent, performance, engagement, diversity, and organisational effectiveness. Present trends, risks, opportunities, and recommendations to senior leaders in a clear and actionable way. Translate complex data into business-focused narratives that support decision-making. Dashboard Development & Reporting Design, build, and maintain Power BI dashboards and reporting products. Ensure reporting outputs are accurate, scalable, user-friendly, and aligned to business priorities. Drive adoption of analytics tools and self-service reporting across the People & Organisation function. Lead the evolution of core reporting products, ensuring they remain relevant and future-focused. Data Governance & Quality Own global reporting standards, metrics, definitions, and governance frameworks. Ensure people data is accurate, secure, and compliant with data privacy requirements, including GDPR. Partner with HRIT and operational teams to resolve data quality issues and improve data integrity. Manage access controls and governance processes across reporting platforms. Stakeholder Partnership Act as the primary point of contact for people analytics and reporting globally. Build strong relationships across HR, Finance, Digital, and Data teams. Challenge assumptions, identify opportunities, and support senior stakeholders with data-led recommendations. Communicate clearly around data limitations, governance standards, and reporting methodologies. Continuous Improvement & Innovation Drive automation of reporting processes and reduce manual effort. Explore new tools, methodologies, and visualisation techniques to improve insight generation. Lead external development partners, ensuring delivery quality and alignment to business requirements. Partner with HRIT, Data Analytics, and Automation teams to ensure analytics, systems, and data architecture remain aligned. So, what does it take to be successful in this role? We're looking for a highly analytical, commercially minded, and stakeholder-focused data professional who can combine technical expertise with strong business partnering skills. People Analytics & Reporting Expertise Proven experience in people analytics, HR reporting, workforce analytics, or data-focused roles. Strong hands-on experience designing and developing dashboards using Power BI or similar visualisation tools. Experience owning end-to-end reporting products and delivering insights to senior stakeholders. Data & Systems Capability Strong understanding of modern HR technology landscapes, including systems such as SuccessFactors, Greenhouse, and related platforms. Knowledge of APIs, integrations, cloud-based data platforms, and data warehousing concepts. Advanced Excel skills and strong understanding of data structures, governance, and reporting standards. Ability to work effectively with technical and non-technical audiences. Stakeholder Management & Communication Exceptional partnering skills with the confidence to engage senior stakeholders. Ability to simplify complex information and communicate insight clearly and succinctly. Comfortable presenting dashboards, recommendations, and data-driven stories to leadership teams. Strong empathy and influencing skills, with the ability to challenge constructively and hold stakeholders accountable. Leadership & Personal Attributes Experience managing third-party providers, external developers, or delivery partners. Highly organised, self-reliant, and capable of managing competing priorities independently. Naturally curious, with a continuous improvement mindset and passion for solving problems. Strong ownership mentality with a focus on quality and delivery. What’s next? If you're ready to shape the future of people analytics at Flora Food Group and help leaders make better decisions through trusted data and meaningful insight, we'd love to hear from you. Application Deadline: 26th June 2026 For questions, you can reach out to Richard Hodgson, Talent Acquisition, via WhatsApp at +44(0)7884 603 724 or email at richard.hodgson@florafg.com We understand your resume might not be up to date and recommend that you apply with what you have or your LinkedIn Profile. Flora Food Group is dedicated to building an inclusive and diverse workplace, we understand that you might not meet all the requirements stated in the description, but we encourage you to apply anyway. You might be the right candidate for this role or other roles.  Flora Food Group is an employer committed to diversity and inclusion in the workplace and equal opportunities for all. We recruit based only on values, qualifications, performance, skills, behaviours, experience, and knowledge. We ensure job advertisements are free from unintentional bias. No personal characteristics should be a barrier to joining Flora Food Group. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or other personal characteristics.", "summaryDescription" : "People Analytics Manager at Flora Food Group. Skills: People analytics, HR reporting, Data visualization, Stakeholder management. Own global people analytics delivery. 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Partner with engineering; Partner with business teams; Collaborate with data scientists; Collaborate with data engineering teams; Work with data stewards", "domainKnowledge" : "AI/ML initiatives; Predictive modeling; Generative AI analytics", "domainList" : [ "ai-ml-initiatives", "predictive-modeling", "generative-ai-analytics" ], "domainSpecificKnowledge" : [ "AI/ML initiatives", "Predictive modeling", "Generative AI analytics" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Communicate complex analytical insights", "problemSolvingSkills" : "Analyze data discrepancies; Resolve issues", "qualificationsBasic" : "Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field, 5 – 8+ years’ related or a Master’s degree with 4+ years’ or equivalent directly related work experience, Proficiency in SQL, Proficiency in at least one programming language (Python or R), Experience working with large datasets, Experience working with cloud-based data platforms (AWS, Azure, Databricks, Snowflake), Solid understanding of statistical analysis techniques, Solid understanding of data modeling concepts, Experience supporting machine learning and predictive analytics initiatives, Proficiency with data visualization tools (Power BI, Tableau, or similar), Ability to communicate complex analytical insights to business and technical stakeholders", "qualificationsPreferred" : "Master's degree in a quantitative or analytical field, Familiarity with model evaluation metrics, Familiarity with feature engineering concepts, Familiarity with experimentation frameworks, Exposure to Generative AI analytics (prompt performance, usage tracking, and evaluation)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Senior Data Analyst (AI & Advanced Analytics) – Job Description** **PURPOSE AND SCOPE** Plan and deliver advanced data analysis and insights that support AI/ML initiatives and data-driven decision-making. Partner with data science, engineering, and business teams to prepare, analyze, and operationalize data for predictive modeling and AI applications. Ensure high-quality, reliable, and governed data assets aligned with enterprise data architecture and analytics standards. **PRINCIPAL DUTIES AND RESPONSIBILITIES** Conducts advanced data analysis to identify trends, patterns, and opportunities for AI and advanced analytics use cases. Identifies and evaluates relevant data sources, including structured and unstructured data, to support modeling and reporting needs. Performs exploratory data analysis (EDA), feature analysis, and data validation for AI/ML initiatives. Develops and maintains dashboards, reports, and performance metrics to monitor business and model outcomes. Partners with data scientists to support model development, including dataset preparation, feature engineering support, and evaluation analysis. Collaborates with data engineering teams to improve data pipelines, data quality, and data accessibility. Analyzes data discrepancies, resolves issues, and ensures consistency across datasets. Supports experimentation and A/B testing, including design, analysis, and interpretation of results. Translates analytical findings into actionable insights and recommendations for business stakeholders. Works with data stewards to ensure alignment with data governance, quality, and compliance standards. **EDUCATION** Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field required. Master’s degree in a quantitative or analytical field preferred. **EXPERIENCE AND REQUIRED SKILLS** 5 – 8+ years’ related experience; or a Master’s degree with 4+ years’ experience; or equivalent directly related work experience. Strong proficiency in SQL and at least one programming language (Python or R). Experience working with large datasets and cloud-based data platforms (AWS, Azure, Databricks, Snowflake). Solid understanding of statistical analysis techniques and data modeling concepts. Experience supporting machine learning and predictive analytics initiatives. Proficiency with data visualization tools (Power BI, Tableau, or similar). Ability to communicate complex analytical insights to business and technical stakeholders. Familiarity with model evaluation metrics, feature engineering concepts, and experimentation frameworks preferred. Exposure to Generative AI analytics (prompt performance, usage tracking, and evaluation) preferred.", "summaryDescription" : "Senior Data Analyst (AI & Advanced Analytics). Skills: Data analysis, AI, Advanced analytics, Machine learning. Conduct advanced data analysis to identify trends, patterns,. 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Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie – von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One+, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. Bist Du bereit für Lösungen, die mehr als nur ein Versprechen sind und täglich echte Lebensqualität in tausende Haushalte bringen? Was du bei Enpal gestaltest, liefert morgen sauberen Strom und verändert nachhaltig, wie wir Energie nutzen. DEINE AUFGABEN - Analyse und Optimierung bestehender Geschäftsprozesse mit Fokus auf Automatisierungspotenziale - Konzeption und Implementierung von Automationslösungen (z. B. mit APIs, No-Code/Low-Code-Tools oder Skripten) - Unterstützung bei der Integration von KI-Lösungen in operative und strategische Prozesse - Erstellung interaktiver Dashboards und Reports (z. B. Excel, Airtable, Power BI) - Durchführung von Datenanalysen zur Identifikation von Trends, Mustern und Optimierungspotenzialen - Unterstützung bei Forecasting-Modellen und datenbasierten Prognosen - Ableitung konkreter Handlungsempfehlungen für verschiedene Unternehmensbereiche - Mitarbeit an bereichsübergreifenden Projekten (z. B. Business Development, Operations, Marketing) - Dokumentation und Skalierung von Prozessen und Automationslösungen DEIN PROFIL - Du befindest dich in einem laufenden Studium im Bereich Wirtschaft, Data Science, Informatik, Ingenieurwesen oder vergleichbar oder hast ein starkes fachliches Interesse an den genannten Themenfeldern - Starkes Interesse an Automation, Künstlicher Intelligenz und datengetriebenem Arbeiten - Erste Erfahrung mit Datenanalyse (z. B. Excel, Python, SQL oder BI-Tools) - Grundverständnis von Machine Learning / AI-Anwendungen von Vorteil - Erfahrung mit oder Interesse an Automations-Tools ist ein Plus - Analytisches Denkvermögen und Fähigkeit zur datenbasierten Entscheidungsfindung - Kenntnisse in KPI-Definition und Performance-Messung - Verständnis für Geschäftsprozesse und Skalierungslogiken - Strukturierte, eigenständige und lösungsorientierte Arbeitsweise - Gute Kommunikations- und Präsentationsfähigkeiten - Teamfähigkeit und Interesse an bereichsübergreifender Zusammenarbeit Du bist interessiert, auch wenn du nicht alle Anforderungen erfüllst? Bewirb dich trotzdem! Wir freuen uns darauf, dein Potenzial zu entdecken - unabhängig davon, ob deine Erfahrung jede einzelne Voraussetzung erfüllt. ☀️ WAS DU LERNST / MITNIMMST - Praktische Erfahrung in der Integration von AI in reale Business-Prozesse - Aufbau von Know-how im Bereich Process Automation & Data Engineering - Entwicklung von skalierbaren, datengetriebenen Lösungen - Einblicke in strategisches Business Development und Growth-Themen - Arbeit an echten Use Cases mit direktem Impact DARAUF KANNST DU DICH FREUEN - Arbeite in Deutschlands erstem grünen Unicorn - Gestalte aktiv die solare Energiewende mit. - Die Sonne scheint auf der ganzen Welt - Bei Enpal arbeitest du mit einem hochmotivierten, diversen Team aus über 65 Nationalitäten. - Das ideale Setup für deinen Fokus – exzellente Ergebnisse entstehen dort, wo die Bedingungen stimmen. Deshalb arbeitest du bei uns vor Ort in unserem Office in Berlin-Friedrichshain – mit kurzen Wegen, direktem Austausch und allem Setup, das du für konzentriertes Arbeiten brauchst. - Grown-up Business & Startup Spirit - In unserem modernen Office in Berlin-Friedrichshain findest du von höhenverstellbaren Tischen, Tischtennisplatte bis gefüllten Getränkekühlschränken und Barista-Coffee alles was das Herz begehrt. - Dein Kick-start bei Enpal - Onboarding-Tag mit Welcome Bag, Buddy-Programm und einem Team, das dich wirklich abholt. - Bleib auf dem Laufenden & gestalte mit - Transparente All-Hands, kurze Entscheidungswege und eine offene Feedback-Kultur, denn ohne Fehler gibt es keinen Fortschritt. - Energiewende geht nur gemeinsam - Bei Enpal erwartet dich ein legendärer Teamspirit und unvergessliche Team- und Companyevents. - Dein Extra-Boost - 29 + 2 Urlaubstage, vergünstigte Mitgliedschaft bei Wellhub und Corporate Benefits. Alles, was dir hilft, Arbeit und Leben gut zu verbinden. Wir bei Enpal sind stolz auf die Vielfältigkeit unseres Teams. Weder bei der Einstellung noch während des Beschäftigungsverhältnisses werden Entscheidungen auf Basis von Hautfarbe, Religion oder religiösen Glaubens, ethnischer oder nationaler Herkunft, Nationalität, Geschlechteridentität, sexuelle Orientierung, Behinderung oder Alter getroffen. Enpal steht für einen sicheren Arbeitsplatz und geht gegen Diskriminierung und Belästigung jeglicher Art vor.", "summaryDescription" : "Intern – Automation, AI & Data Analytics (w/m/d) at Enpal. Skills: Automation, AI, Data Analytics. Analyze and optimize business processes. Implement automation solutions", "createdAt" : "2026-06-13T21:34:47.200", "lastUpdated" : "2026-06-15T11:48:39.429", "ingestTimestamp" : "2026-06-13T21:34:47.200", "mongoId" : "6a2cc29274d8ee00a0a06d85", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Forecasting", "Process automation", "Data engineering", "Automation", "AI", "Data Analytics", "Business process analysis", "Automation implementation", "Forecasting models", "Actionable recommendations", "KPI definition", "Performance measurement", "Business process understanding", "Scaling logic", "Energy market", "Decentralized energy", "Excel", "Airtable", "Power BI", "APIs", "No-Code tools", "Low-Code tools" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 808.41675, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145374d8ee00a00bb36f", "title" : "Manufacuring Automation Engineer, Advanced Manufacturing Engineer (AME)", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 134000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:48:33.407", "fingerprint" : "2218a06205e6ba2c8bca6f95d3c1d29ee5e843b9edf6bd4579bf6ad81ad9c8cc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441132/apply", "externalId" : "cd6fa53b-e6b4-4370-b700-1481f41b0240", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Robotics, Computer vision, 3D CAD, PLC, HMI", "professionalSkills" : [ "Mechanical hardware design", "Automation solutions", "Product requirements", "Assembly processes", "Equipment design", "Fixture design", "DFM review", "Automation roadmap" ], "hardSkillsList" : [ "Mechanical engineering", "Robotics", "Control systems", "Prototyping", "PLC programming", "HMI programming", "Tolerance analysis", "GD&T" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Robotics", "level" : "intermediate" }, { "name" : "Control systems", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "HMI programming", "level" : "intermediate" }, { "name" : "Tolerance analysis", "level" : "intermediate" }, { "name" : "GD&T", "level" : "intermediate" } ], "majorSkills" : "Manufacturing automation, Robotics, AI integration, Hardware design", "majorSkillsList" : [ "Manufacturing automation", "Robotics", "AI integration", "Hardware design" ], "coreResponsibilities" : "Innovate assembly automation solutions, Design assembly automation solutions, Develop assembly automation solutions, Design assembly automation equipment, Scale automation solutions, Design custom automation solutions, Design machines, Review automation equipment DFM, Understand automation trends, Support defining automation roadmap", "teamCollaboration" : "Hardware and Operations teams; Hardware and Product Design Engineering teams; Local and Offshore Operations teams; OEM partners; Highly skilled individuals", "domainKnowledge" : "Manufacturing automation; Robotics; AI; Computer vision; Assembly automation; Control systems; Tight-tolerance assemblies", "domainList" : [ "manufacturing-automation", "robotics", "ai", "computer-vision", "assembly-automation", "control-systems", "tight-tolerance-assemblies" ], "domainSpecificKnowledge" : [ "Manufacturing automation", "Robotics", "AI", "Computer vision", "Assembly automation", "Control systems", "Tight-tolerance assemblies" ], "toolProficiency" : [ "3D CAD" ], "innovationCreativity" : "Innovate automation solutions; Design machines that does not exist; Incubating novel automation technologies", "problemSolvingSkills" : "Solve complex issues", "qualificationsBasic" : "5+ years mechanical engineering, 3+ years robotics work cells, 3+ years control systems experience, Proven track record automation concepts, 3+ years prototyping and implementation", "qualificationsPreferred" : "Master's degree in mechanical engineering, Experience integrating AI/ML, Experience integrating computer vision, Incubating novel automation technologies, Background in tolerance analysis, Background in GD&T, Designing automation for tight-tolerance assemblies, 3+ years PLC/HMI programming", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We pioneer the future of manufacturing automation at Amazon Lab126, where bleeding-edge AI meets robotics to redefine assembly at global scale. You'll lead mechanical hardware design from concept through production — integrating AI-driven solutions, advanced robotics, and AI based vision systems into innovative automation workcells. As the key interface between Hardware and Operations teams (US & China), you'll transform complex product requirements into intelligent, cost-effective automation. Key job responsibilities As a Manufacturing Automation Engineer, you will be responsible for driving world class manufacturing automation solutions to scale our operations globally. This will involve innovating automation solutions for assembly processes, explore latest technologies, design equipment and fixtures in 3D CAD. You will be a key member of the development team and will be the main interface between the Hardware and Product Design Engineering teams with local and Offshore Operations teams within Lab126 and our OEM partners. A day in the life Primary responsibilities include: a. Innovate, design and develop cost effective assembly automation solutions. This involves designing (3D CAD) of assembly automation equipment. b. Scale automation solutions working closely with Contract Manufacturers (CMs) c. Design, Develop custom automation solutions for very unique customer needs. In other words, design machines that does not exist in the World today. d. Review automation equipment DFM with CMs and internal stake holders. e. Understand automation trends and support defining automation roadmap for next 3 years. About the team You will be working with highly skilled individuals with varying skills and background from China and US. Partner teams will look to you to solve complex issues using automation and coming up with new ways to improve the overall product design to delight our customers. Basic Qualifications: - 5+ years of working in mechanical engineering or equivalent experience - 3+ years of robotics work cells and control systems experience - Proven track record of taking automation concepts from design through build, integration - 3+ years of experience with prototyping and implementation Preferred Qualifications: - Master's degree in mechanical engineering or equivalent - Experience integrating AI/ML and computer vision into manufacturing automation systems - Demonstrated experience incubating novel automation technologies from R&D through production deployment at scale - Strong background in tolerance analysis, GD&T, and designing automation for tight-tolerance assemblies - 3+ years of experience with PLC/HMI programming Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 134,900.00 - 185,000.00 USD annually", "summaryDescription" : "Manufacuring Automation Engineer, Advanced Manufacturing Engineer (AME) at Amazon.com Services LLC. Skills: Manufacturing automation, Robotics, AI integration, Hardware design. Innovate assembly automation solutions. Design assembly automation solutions", "postedDate" : "2026-06-13T14:21:02.925", "createdAt" : "2026-06-13T14:21:02.925", "lastUpdated" : "2026-06-15T05:48:33.407", "ingestTimestamp" : "2026-06-13T14:21:02.925", "mongoId" : "6a25145374d8ee00a00bb36f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441132/apply", "salaryAnnualMin" : 134000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering", "Robotics", "Control systems", "Prototyping", "PLC programming", "HMI programming", "Tolerance analysis", "GD&T", "Manufacturing automation", "AI integration", "Hardware design", "Mechanical hardware design", "Automation solutions", "Product requirements", "Assembly processes", "Equipment design", "Fixture design", "DFM review", "Automation roadmap", "AI", "Computer vision", "Assembly automation", "Tight-tolerance assemblies", "3D CAD" ], "skillCount" : 24, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 797.00745, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" }, { "id" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.", "summaryDescription" : "Analytics Manager, Partner Insights at Rula. Skills: Data analytics, Reporting systems, Partner insights. Design reporting systems. Present insights to stakeholders", "createdAt" : "2026-06-14T09:31:37.505", "lastUpdated" : "2026-06-15T14:13:36.599", "ingestTimestamp" : "2026-06-14T09:31:37.505", "mongoId" : "6a2c9ff674d8ee00a09a0efe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 157250, "salaryAnnualMax" : 175750, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data visualization", "Automation", "Data analytics", "Reporting systems", "Partner insights", "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support", "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates", "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 795.9939, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6931903470f0b99d58087a77", "title" : "Sr. Program Manager, Process Automation & Analytics, 3P MX External Fulfillment", "company" : "Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44", "industry" : "Project/Program/Product Management--Non-Tech, Sales/Account Management, international stores", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mexico City, adjusted for senior program manager role in e-commerce, reflecting full-time onsite employment." }, "location" : "Mexico City, Mexico City, MEX", "locations" : [ "Mexico City, Mexico City, MEX" ], "timestamp" : "2026-06-15T02:41:38.870", "fingerprint" : "852ab369bfc92ae53641cd244e264c17e95b7815678f2342cbc171da1482e0e9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136820/apply", "externalId" : "c160e6a4-7308-4279-84d2-754e86b93b39", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Program Leadership", "Cross-Functional Collaboration", "Stakeholder Management", "Data-Driven Decision Making", "Process Innovation", "Risk Management" ], "majorSkills" : "Process Automation, Analytics, External Fulfillment", "majorSkillsList" : [ "Process Automation", "Analytics", "External Fulfillment" ], "coreResponsibilities" : "Scope, design, and deliver business-critical programs, Support External Fulfillment network expansion, Drive overall program strategy and roadmap, Partner with Product, Operations, Transportation, Sales, and Technology, Define requirements, Secure resources, Manage implementation timelines across multiple workstreams, Serve as the primary point of contact for, Manage relationships with leadership, retail partners, and operational, Drive resolution of complex issues, Leverage metrics and analytics to identify improvement opportunities, Track program performance, Make informed trade-offs, Optimize delivery timelines and business outcomes, Drive continuous improvement initiatives, Remove seller friction, Enhance operational efficiency, Scale fulfillment capabilities, Develop contingency plans, Manage escalations, Navigate ambiguity to keep programs on track, Scope and drive productivity improvement initiatives internal to", "teamCollaboration" : "Cross-functional initiatives; Partner with Product, Operations, Transportation, Sales, and Technology teams", "projectManagementSkills" : [ "Program delivery", "Roadmap", "Implementation timelines" ], "domainKnowledge" : "External Fulfillment; Seller-managed fulfillment programs; Third-party marketplace; Supply chain operations", "domainList" : [ "external-fulfillment", "seller-managed-fulfillment-programs", "third-party-marketplace", "supply-chain-operations" ], "domainSpecificKnowledge" : [ "External Fulfillment", "Seller-managed fulfillment programs", "Third-party marketplace", "Supply chain operations" ], "innovationCreativity" : "Process Innovation", "problemSolvingSkills" : "Data-driven decision making; Risk Management; Navigate ambiguity", "outcomesObjectives" : "Enhance seller experience; Expand Prime-eligible selection; Deliver exceptional customer outcomes", "qualificationsBasic" : "Bachelor's degree or equivalent, Speak, write, and read fluently in English, 6+ years of experience Creating, tracking and inspecting key performance metrics, creating data-driven insights to guide program decisions", "qualificationsPreferred" : "MBA Preferred, Experience in e-commerce, logistics, or marketplace operations, Familiarity with third-party seller fulfillment models and supply chain operations, Experience leveraging Artificial Intelligence to drive automation and productivity initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Senior Program Manager for External Fulfillment in Mexico leads complex, cross-functional initiatives that drive the strategic growth and operational excellence of Amazon's seller-managed fulfillment programs, including Easy Ship, Seller Flex, and Self Ship. This role is responsible for end-to-end program delivery—from conception through implementation and continuous improvement—ensuring scalable solutions that enhance seller experience, expand Prime-eligible selection, and deliver exceptional customer outcomes across Mexico's third-party marketplace. Additionally, the SPM for EF MX will also look at scoping and driving productivity improvement initiatives internal to the EF team. Key job responsibilities - Program Leadership: Scope, design, and deliver business-critical programs that support External Fulfillment network expansion, driving the overall program strategy and roadmap in alignment with organizational goals - Cross-Functional Collaboration: Partner with Product, Operations, Transportation, Sales, and Technology teams to define requirements, secure resources, and manage implementation timelines across multiple workstreams - Stakeholder Management: Serve as the primary point of contact for program updates, proactively managing relationships with leadership, retail partners, and operational teams to ensure alignment and drive resolution of complex issues - Data-Driven Decision Making: Leverage metrics and analytics to identify improvement opportunities, track program performance, and make informed trade-offs that optimize delivery timelines and business outcomes - Process Innovation: Drive continuous improvement initiatives that remove seller friction, enhance operational efficiency, and scale fulfillment capabilities while maintaining Amazon's high standards - Risk Management: Develop contingency plans, manage escalations, and navigate ambiguity to keep programs on track despite changing business conditions Basic Qualifications: - Bachelor's degree or equivalent - Speak, write, and read fluently in English - 6+ years of experience Creating, tracking and inspecting key performance metrics, creating data-driven insights to guide program decisions Preferred Qualifications: - MBA Preferred - Experience in e-commerce, logistics, or marketplace operations - Familiarity with third-party seller fulfillment models and supply chain operations - Experience leveraging Artificial Intelligence to drive automation and productivity initiatives Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Program Manager, Process Automation & Analytics, 3P MX External Fulfillment at Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44. Skills: Process Automation, Analytics, External Fulfillment. Scope, design, and deliver business-critical programs. Support External Fulfillment network expansion", "postedDate" : "2026-06-13T04:59:11.675", "createdAt" : "2026-06-13T04:59:11.675", "lastUpdated" : "2026-06-15T02:41:38.870", "ingestTimestamp" : "2026-06-13T04:59:11.675", "mongoId" : "6931903470f0b99d58087a77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136820/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Process Automation", "Analytics", "External Fulfillment", "Program Leadership", "Cross-Functional Collaboration", "Stakeholder Management", "Data-Driven Decision Making", "Process Innovation", "Risk Management", "Program delivery", "Roadmap", "Implementation timelines", "Seller-managed fulfillment programs", "Third-party marketplace", "Supply chain operations" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 786.7417, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c694d74d8ee00a0906d9e", "title" : "Paid Analytics Manager", "company" : "Kueski", "industry" : "Marketing", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Paid Analytics Manager in Mexico's FinTech industry, adjusted for remote work and company size." }, "location" : "Mexico (remote)", "locations" : [ "Mexico (remote)" ], "timestamp" : "2026-06-15T09:16:37.277", "fingerprint" : "05b06f06bb78818f9c4ffc717217f622af7e68e9b515cfbc7047a20cd78ee25b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/kueski/59fa6576-a336-4531-84ca-5fbd472a126d/application", "externalId" : "59fa6576-a336-4531-84ca-5fbd472a126d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, GA4, Amplitude, Databricks, Google Tag Manager", "professionalSkills" : [ "Attribution strategy", "Measurement", "Data analysis", "Campaign optimization", "Budget allocation", "Channel mix decisions", "Strategic recommendations", "Data modeling", "Data infrastructure", "Data accuracy", "Data integrity", "Data discrepancies", "Data pipeline reliability", "Event schemas", "Tracking coverage", "Marketing measurement", "Growth metrics", "Brand strategy", "Customer acquisition", "Campaign management" ], "hardSkillsList" : [ "Attribution modeling", "Incrementality measurement", "Geo holdouts", "Intent-to-treat analyses", "Synthetic controls", "Server-to-server integrations", "A/B testing", "Multivariate experiments", "Statistical analysis", "Propensity models", "Machine learning" ], "hardSkills" : [ { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Incrementality measurement", "level" : "intermediate" }, { "name" : "Geo holdouts", "level" : "intermediate" }, { "name" : "Intent-to-treat analyses", "level" : "intermediate" }, { "name" : "Synthetic controls", "level" : "intermediate" }, { "name" : "Server-to-server integrations", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Multivariate experiments", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Propensity models", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Attribution modeling, Marketing analytics, Growth analytics, Data analysis", "majorSkillsList" : [ "Attribution modeling", "Marketing analytics", "Growth analytics", "Data analysis" ], "coreResponsibilities" : "Design attribution models, Implement attribution models, Refine attribution models, Develop framework for second-order effects, Define incrementality measurement approaches, Own attribution methodology decisions, Communicate trade-offs, Lead tracking infrastructure implementation, Lead tracking infrastructure maintenance, Design server-to-server integrations, Implement server-to-server integrations, Audit data discrepancies, Troubleshoot data discrepancies, Manage marketing analytics stack, Evolve marketing analytics stack, Partner with Data Engineering, Partner with Product, Pull data independently, Structure data independently, Analyze data independently, Build analyses, Develop dashboards, Maintain dashboards, Develop reports, Maintain reports, Identify patterns, Identify anomalies, Bring forward recommendations, Correlate marketing activities with business outcomes, Provide strategic inputs, Collaborate with Performance marketing teams, Collaborate with Lifecycle marketing teams, Translate attribution insights, Conduct A/B experiments, Conduct multivariate experiments, Validate attribution assumptions, Improve measurement accuracy, Help forecast marketing budgets, Provide framework for spend allocation, Act as internal expert, Educate teams on best practices, Build shared understanding", "teamCollaboration" : "Marketing teams; Sales teams; Analytics teams; Data Engineering; Product teams; Performance marketing; Lifecycle marketing; Finance teams", "domainKnowledge" : "Buy now, pay later; Online consumer credit; FinTech; Paid social; SEM; Programmatic; Affiliate; CRM; Marketing attribution; Customer journey; Brand awareness; Funnel priming; Downstream conversion; Marketing investments; Last-touch models; Multi-touch models; Tracking systems; Measurement technologies; Privacy-driven changes; Data pipeline; Campaign optimization inputs; Paid media platforms; Web analytics; Behavioral analytics; Digital marketing channels; Measurement challenges; Statistical analysis; Marketing measurement; MMM; Propensity models", "domainList" : [ "buy-now", "pay-later", "online-consumer-credit", "fintech", "paid-social", "sem", "programmatic", "affiliate", "crm", "marketing-attribution", "customer-journey", "brand-awareness", "funnel-priming", "downstream-conversion", "marketing-investments", "last-touch-models", "multi-touch-models", "tracking-systems", "measurement-technologies", "privacy-driven-changes", "data-pipeline", "campaign-optimization-inputs", "paid-media-platforms", "web-analytics", "behavioral-analytics", "digital-marketing-channels", "measurement-challenges", "statistical-analysis", "marketing-measurement", "mmm", "propensity-models" ], "domainSpecificKnowledge" : [ "Buy now, pay later", "Online consumer credit", "FinTech", "Paid social", "SEM", "Programmatic", "Affiliate", "CRM", "Marketing attribution", "Customer journey", "Brand awareness", "Funnel priming", "Downstream conversion", "Marketing investments", "Last-touch models", "Multi-touch models", "Tracking systems", "Measurement technologies", "Privacy-driven changes", "Data pipeline", "Campaign optimization inputs", "Paid media platforms", "Web analytics", "Behavioral analytics", "Digital marketing channels", "Measurement challenges", "Statistical analysis", "Marketing measurement", "MMM", "Propensity models" ], "toolProficiency" : [ "Google Tag Manager", "GA4", "Amplitude", "Databricks", "Data Studio", "Tableau" ], "communicationSkills" : "Translate complex findings; Strategic recommendations; Non-technical stakeholders; Senior leadership", "problemSolvingSkills" : "Troubleshoot data discrepancies; Identify anomalies; Root cause analysis", "outcomesObjectives" : "Optimize investment decisions; Accelerate sustainable growth; Improve signal quality; Reduce data loss; Ensure data accuracy; Ensure data integrity; Improve event schemas; Improve tracking coverage; Improve data pipeline reliability; Push initiatives forward; Improve campaign optimization; Improve measurement accuracy; Allocate spend for maximum ROI", "qualificationsBasic" : "5+ years experience in marketing analytics, 5+ years experience in growth analytics, 5+ years experience in related field, Track record of operating autonomously, Deep technical expertise in tracking implementation, Command of attribution modeling, Developed analytical sensibility for second-order effects, Proficiency in SQL, Experience with web analytics platforms, Experience with behavioral analytics tools, Solid understanding of digital marketing channels, Experience with A/B testing, Experience with statistical analysis, Clear, concise communicator, Detail-oriented and proactive, High standard for data accuracy, Bias toward action", "qualificationsPreferred" : "Experience with Databricks, Experience with Data Studio, Experience with Tableau, Experience with machine learning applied to marketing, Experience with MMM, Experience with propensity models, Mentorship of junior analysts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT KUESKI At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico. We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions. In 2024, we were named one of the World’s Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY. POSITION Kueski is seeking a senior Growth Marketing Analytics leader to own marketing measurement end-to-end from attribution infrastructure and implementation to advanced analysis and strategic recommendations. This role requires a highly autonomous professional who can build scalable analytics frameworks, uncover second-order business impacts beyond standard attribution models, and translate complex data into actionable growth decisions. This role is ideal for an analytical expert who thrives in high-ownership environments, enjoys connecting marketing activities to business outcomes, and can partner cross-functionally with marketing, sales, and analytics teams to optimize investment decisions and accelerate sustainable growth. KEY RESPONSABILITIES ATTRIBUTION STRATEGY & MEASUREMENT - Design, implement, and continuously refine marketing attribution models across all channels, ensuring they reflect the true complexity of the customer journey. - Develop a framework to identify and account for second-order effects initiatives whose impact on brand awareness, funnel priming, or downstream conversion isn't directly attributable but is strategically significant. - Define incrementality measurement approaches (geo holdouts, intent-to-treat analyses, synthetic controls) to evaluate the true causal impact of marketing investments beyond last-touch or even multi-touch models. - Own attribution methodology decisions and communicate trade-offs clearly to stakeholders and leadership. TECHNICAL IMPLEMENTATION & DATA INFRASTRUCTURE - Lead the implementation and maintenance of tracking infrastructure: pixel setup, tag management (Google Tag Manager or equivalent), and event tracking across web and app. - Design and implement server-to-server (S2S) integrations to improve signal quality, reduce data loss from browser restrictions, and enhance campaign optimization inputs for paid media platforms. - Audit and troubleshoot data discrepancies across tracking systems, ensuring data accuracy and integrity end-to-end. - Manage and evolve the marketing analytics stack (GA4, Amplitude, third-party attribution tools, Databricks) and stay current on emerging measurement technologies and privacy-driven changes. - Partner with Data Engineering and Product to improve event schemas, tracking coverage, and data pipeline reliability. DATA ANALYSIS & SELF-SUFFICIENT INSIGHT GENERATION - Pull, structure, and analyze your own data independently building the analyses needed to reach conclusions and push initiatives forward, without relying on others to surface information. - Develop and maintain dashboards and reports that give clear, actionable visibility into campaign performance, channel ROI, and attribution trends. - Identify patterns and anomalies proactively; bring forward recommendations with a clear point of view, not just observations. - Use advanced analytics to correlate marketing activities with business outcomes, providing the strategic inputs needed for budget allocation and channel mix decisions. CAMPAIGN OPTIMIZATION & CROSS-FUNCTIONAL IMPACT - Collaborate with Performance and Lifecycle marketing teams to translate attribution insights into concrete campaign optimizations. - Conduct A/B and multivariate experiments to validate attribution assumptions and improve measurement accuracy over time. - Help forecast marketing budgets based on attribution data and provide a clear framework for where to allocate spend for maximum ROI. - Act as the internal expert on attribution and measurement educating teams on best practices and building shared understanding across marketing, data, and finance. JOB REQUIREMENTS - 5+ years of experience in marketing analytics, growth analytics, or a closely related field, with a strong track record of operating autonomously on complex, end-to-end projects. - Deep technical expertise in tracking implementation: tag management (GTM or equivalent), pixel setup, event tracking across web and mobile, and server-to-server integrations for campaign signal optimization. - Strong command of attribution modeling: multi-touch, data-driven, and incrementality-based approaches with the ability to articulate the limitations of each and when to apply them. - Developed analytical sensibility for second-order effects: able to reason about indirect, non-attributable contributions of marketing initiatives and incorporate that thinking into budget and strategy recommendations. - Proficiency in SQL and at least one BI/analytics tool (Databricks, Data Studio, Tableau, or equivalent); able to independently extract and model data without relying on data teams for every pull. - Experience with web analytics platforms (GA4, Adobe Analytics) and behavioral analytics tools (Amplitude or equivalent). - Solid understanding of digital marketing channels and their specific measurement challenges including paid social, SEM, programmatic, affiliate, and CRM. - Experience with A/B testing and statistical analysis applied to marketing measurement. - Clear, concise communicator: able to translate complex analytical findings into strategic recommendations for non-technical stakeholders and senior leadership. - Detail-oriented and proactive, with a high standard for data accuracy and a bias toward action - experience with statistical modeling, machine learning applied to marketing (e.g., MMM, propensity models), and mentorship of junior analysts. DIVERSITY & INCLUSION At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.", "summaryDescription" : "Paid Analytics Manager at Kueski. Skills: Attribution modeling, Marketing analytics, Growth analytics, Data analysis. Design attribution models. Implement attribution models", "createdAt" : "2026-06-14T04:56:09.184", "lastUpdated" : "2026-06-15T09:16:37.277", "ingestTimestamp" : "2026-06-14T04:56:09.184", "mongoId" : "6a2c694d74d8ee00a0906d9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Attribution modeling", "Incrementality measurement", "Geo holdouts", "Intent-to-treat analyses", "Synthetic controls", "Server-to-server integrations", "A/B testing", "Multivariate experiments", "Statistical analysis", "Propensity models", "Machine learning", "Marketing analytics", "Growth analytics", "Data analysis", "Attribution strategy", "Measurement", "Campaign optimization", "Budget allocation", "Channel mix decisions", "Strategic recommendations", "Data modeling", "Data infrastructure", "Data accuracy", "Data integrity", "Data discrepancies", "Data pipeline reliability", "Event schemas", "Tracking coverage", "Marketing measurement", "Growth metrics", "Brand strategy", "Customer acquisition", "Campaign management", "Buy now, pay later", "Online consumer credit", "FinTech", "Paid social", "SEM", "Programmatic", "Affiliate", "CRM", "Marketing attribution", "Customer journey", "Brand awareness", "Funnel priming", "Downstream conversion", "Marketing investments", "Last-touch models", "Multi-touch models", "Tracking systems", "Measurement technologies", "Privacy-driven changes", "Data pipeline", "Campaign optimization inputs", "Paid media platforms", "Web analytics", "Behavioral analytics", "Digital marketing channels", "Measurement challenges", "MMM", "Google Tag Manager", "GA4", "Amplitude", "Databricks", "Data Studio", "Tableau" ], "skillCount" : 66, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 784.16583, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2a490374d8ee00a05e33da", "title" : "Manager, Business Analytics", "company" : "Omnicom Media", "industry" : "Healthcare", "salary" : { "min" : 90000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-14T23:14:08.818", "fingerprint" : "730560c6e728a87a7d58328cf0d06ae5aa997abd77430ca0731f5b995daf5a7a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5138353007", "externalId" : "5138353007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Tableau", "professionalSkills" : [ "Campaign analytics", "Media analytics", "Omnichannel analytics", "Measurement innovation" ], "hardSkillsList" : [ "Analytical skills", "Organizational skills", "Attention to detail", "Operational rigor" ], "hardSkills" : [ { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Organizational skills", "level" : "intermediate" }, { "name" : "Attention to detail", "level" : "intermediate" }, { "name" : "Operational rigor", "level" : "intermediate" } ], "majorSkills" : "Campaign analytics, Measurement, Reporting", "majorSkillsList" : [ "Campaign analytics", "Measurement", "Reporting" ], "coreResponsibilities" : "Support analytics initiatives, Support reporting initiatives, Develop dashboards, Maintain dashboards, Develop campaign reporting, Maintain campaign reporting, Develop KPI tracking, Maintain KPI tracking, Develop analytical summaries, Maintain analytical summaries, Develop optimization reports, Maintain optimization reports, Monitor campaign performance, Identify trends, Identify risks, Identify optimization opportunities, Ensure accuracy of deliverables, Ensure consistency of deliverables, Support measurement plan implementation, Support KPI framework implementation, Assist cross-channel measurement, Assist audience activation programs, Assist omnichannel campaigns, Operationalize analytics workflows, Support reporting automation, Support standardization efforts, Analyze campaign data, Analyze audience data, Generate actionable insights, Identify opportunities to improve audience engagement, Identify opportunities to improve media efficiency, Identify opportunities to improve channel performance, Identify opportunities to improve optimization effectiveness, Support optimization recommendations, Translate analytics into narratives, Translate analytics into recommendations, Manage day-to-day workflows, Manage reporting timelines, Coordinate deliverables, Ensure timely delivery of requests, Support process improvement initiatives, Partner with leadership, Partner with audience strategy, Partner with data science, Partner with data management, Partner with comms design, Partner with investment teams, Support analytics integration, Help maintain alignment, Support emerging measurement methodologies, Support attribution implementation, Support audience quality analysis, Support incrementality analysis, Support digital optimization frameworks, Collaborate on advanced analytics, Stay informed on trends", "teamCollaboration" : "Business Analytics leadership; Audience Intelligence; Data Science; Comms Design; Investment teams; Client teams", "domainKnowledge" : "Healthcare marketing; HCP media; DTC media; Patient media; Omnichannel analytics; Measurement innovation", "domainList" : [ "healthcare-marketing", "hcp-media", "dtc-media", "patient-media", "omnichannel-analytics", "measurement-innovation" ], "domainSpecificKnowledge" : [ "Healthcare marketing", "HCP media", "DTC media", "Patient media", "Omnichannel analytics", "Measurement innovation" ], "toolProficiency" : [ "Tableau", "Excel" ], "communicationSkills" : "Business insights; Business narratives", "innovationCreativity" : "Measurement innovation", "problemSolvingSkills" : "Analytical capabilities", "qualificationsBasic" : "3-5 years analytics experience, SQL proficiency, Tableau proficiency", "qualificationsPreferred" : "Healthcare/pharma analytics experience, PhD preferred, Cloud platform certs", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary The Manager, Business Analytics — HCP & DTC Client Solutions will support campaign analytics, measurement, reporting, and optimization initiatives across both HCP and DTC / patient media programs for a major healthcare client. This role will focus on delivering actionable analytics, managing day-to-day reporting workflows, and supporting cross-channel measurement and optimization efforts. The Manager will work closely with Business Analytics leadership, Audience Intelligence, Data Science, Comms Design, Investment, and client teams to ensure analytics deliverables are timely, accurate, scalable, and actionable. The role requires strong analytical capabilities, attention to detail, operational rigor, and the ability to translate data into meaningful business insights. This position is ideal for someone who combines strong campaign analytics experience with an interest in healthcare marketing, omnichannel analytics, and measurement innovation. Responsibilities Campaign Analytics & Reporting Support analytics and reporting initiatives across HCP and DTC / patient campaigns Develop and maintain: dashboards campaign reporting KPI tracking analytical summaries optimization reports Monitor campaign performance and identify trends, risks, and optimization opportunities Ensure accuracy and consistency of analytics deliverables across channels and campaigns Measurement & Accountability Support Support implementation of client-specific measurement plans and KPI frameworks Assist with cross-channel measurement initiatives spanning: HCP media DTC media audience activation programs omnichannel campaigns Help operationalize analytics workflows supporting campaign accountability and optimization Support reporting automation and standardization efforts Insight Generation & Optimization Analyze campaign and audience performance data to generate actionable insights Identify opportunities to improve: audience engagement media efficiency channel performance optimization effectiveness Partner with Audience Intelligence, Investment, and Comms Design teams to support optimization recommendations Help translate analytics into business-focused narratives and recommendations Workflow & Operational Management Manage day-to-day analytics workflows and reporting timelines Coordinate deliverables across analytics, audience, data management, and activation teams Ensure timely delivery of recurring and ad hoc analytics requests Support process improvement initiatives that improve efficiency and scalability Cross-Functional Collaboration Partner closely with: Business Analytics leadership Audience Strategy Data Science Data Management Comms Design Investment teams Support integration of analytics into broader campaign planning and optimization processes Help maintain alignment between reporting, measurement, and business objectives Advanced Analytics Support Support implementation of emerging measurement methodologies including: attribution audience quality analysis incrementality digital optimization frameworks Collaborate with Data Science and Audience Intelligence teams on advanced analytics initiatives Stay informed on healthcare analytics and media measurement trends Required Skills & Experience 3–5 years of experience in analytics, business intelligence, campaign analytics, or media analytics Healthcare/pharma analytics experience preferred Strong understanding of: HCP media ecosystems DTC / patient engagement analytics campaign reporting media performance measurement Experience with: Tableau or BI platforms Excel SQL preferred Familiarity with: campaign analytics KPI frameworks audience analytics optimization reporting Strong analytical, organizational, and communication skills Ability to manage multiple priorities in a fast-paced client environment Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $90,000—$105,000 USD", "summaryDescription" : "Manager, Business Analytics at Omnicom Media. Skills: Campaign analytics, Measurement, Reporting. Support analytics initiatives. Support reporting initiatives", "postedDate" : "2026-06-11T21:17:29.838", "createdAt" : "2026-06-11T21:17:29.838", "lastUpdated" : "2026-06-14T23:14:08.818", "ingestTimestamp" : "2026-06-11T21:17:29.838", "mongoId" : "6a2a490374d8ee00a05e33da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Analytical skills", "Organizational skills", "Attention to detail", "Operational rigor", "Campaign analytics", "Measurement", "Reporting", "Media analytics", "Omnichannel analytics", "Measurement innovation", "Healthcare marketing", "HCP media", "DTC media", "Patient media", "Tableau", "Excel" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "mediabrands---united-states", "dataQualityScore" : 0.8888889, "_score" : 781.9212, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a50e374d8ee00a05f4904", "title" : "Senior Reporting Manager", "company" : "CMR", "industry" : "Data & BI", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Reporting Manager in London, UK, adjusted for the construction industry and full-time employment." }, "location" : "London", "locations" : [ "London", "Suffolk" ], "timestamp" : "2026-06-13T16:43:48.879", "fingerprint" : "c78466783e6e5efe88fb6f699a6474cef58b8f0563d62015d82d9529cd729e37", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/cmr.london/c8da961c-d68b-4d56-8d7c-afcdd6079a70/application", "externalId" : "c8da961c-d68b-4d56-8d7c-afcdd6079a70", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "state" : "Suffolk", "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "London, United Kingdom; Suffolk, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data analytics, Business intelligence, Power BI", "professionalSkills" : [ "Performance management", "Project controls", "Management insight", "Data governance", "Stakeholder management", "Data analysis", "Statistical analysis", "Forecasting techniques", "Digital reporting" ], "hardSkillsList" : [ "Reporting", "Data validation", "Data structuring", "Statistical analysis", "Forecasting" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Reporting, Performance management, Project controls, Data analytics", "majorSkillsList" : [ "Reporting", "Performance management", "Project controls", "Data analytics" ], "coreResponsibilities" : "Support reporting processes and frameworks, Lead development of reporting products and dashboards, Ensure reporting outputs are accurate and insightful, Review underlying processes supporting reporting activities, Enhance data quality, governance, and reporting controls, Collaborate with project controls, PMO, digital, and delivery, Meet reporting requirements, Support project objectives, Build and maintain relationships with stakeholders, Manage and develop reporting and data resources, Provide leadership and mentoring, Analyse complex datasets, Identify trends, correlations, risks, and opportunities, Transform and structure data, Apply statistical analysis and forecasting techniques, Support performance monitoring, Predict future delivery trends, Support development of digital reporting solutions, Champion a 'Digital by Default' approach, Establish best practice data analytics and business intelligence, Share knowledge and reporting best practices", "teamCollaboration" : "Project controls teams; PMO teams; Digital teams; Delivery teams; Internal stakeholders; External stakeholders", "projectManagementSkills" : [ "Project controls" ], "domainKnowledge" : "Nuclear sector; Infrastructure programmes; Project controls frameworks; WBS; CBS; OBS; Regulated project environments", "domainList" : [ "nuclear-sector", "infrastructure-programmes", "project-controls-frameworks", "wbs", "cbs", "obs", "regulated-project-environments" ], "domainSpecificKnowledge" : [ "Nuclear sector", "Infrastructure programmes", "Project controls frameworks", "WBS", "CBS", "OBS", "Regulated project environments" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Reporting narratives; Verbal communication; Written communication", "continuousLearning" : "Professional development; Training", "innovationCreativity" : "Digital reporting solutions; Data analytics solutions", "problemSolvingSkills" : "Data analysis; Identify trends; Identify correlations; Identify risks; Identify opportunities", "specialRequirements" : "Site visits to Suffolk, Occasional travel", "outcomesObjectives" : "Enable effective decision-making; Drive innovation through digital reporting; Support project objectives", "qualificationsBasic" : "Minimum 5 years' experience in reporting, performance management, or project controls within a major programme environment, Experience developing and managing reporting processes, performance frameworks, and management information outputs, Understanding of project controls disciplines and reporting structures, including WBS, CBS, and OBS frameworks, Excellent written and verbal communication skills, Experience driving continuous improvement and implementing digital solutions within reporting environments, Stakeholder management skills, Degree in a numerate discipline, HND, or equivalent qualification supported by relevant industry experience, Full right to work in the UK", "qualificationsPreferred" : "Experience working on major infrastructure, energy, nuclear, transportation, defence, or other large-scale capital projects, Experience developing reporting frameworks on complex or mega-projects, Proficiency in Power BI, data visualisation, data analytics, data mining, and statistical analysis techniques, Experience working within highly regulated project environments, Knowledge of modern business intelligence and digital reporting solutions", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "\uD83C\uDF1F Position: 218CMR: Senior Reporting Manager \uD83D\uDCCD Location: Hybrid – London office and home working (Site visits to Suffolk) \uD83D\uDCBC Type: Full-time \uD83D\uDCC5 Start Date: Immediate \uD83D\uDCB0 Salary: Competitive We have an exciting opportunity for a highly motivated Senior Reporting Manager to join our Project Controls team and play a key role in supporting one of the UK's largest and most complex infrastructure programmes within the nuclear sector. As a Senior Reporting Manager, you will support the delivery and continuous improvement of reporting, performance management, and management insight capabilities across a major programme environment. You will be responsible for producing intelligent, validated, and meaningful reporting outputs that enable effective decision-making while helping drive innovation through digital reporting and data analytics solutions. About us: CMR is first and foremost a team of people, passionate about the construction industry and changing the way project controls is provided. We are a progressive & dynamic consultancy offering tailored project controls services across a range of industries. Our Purpose (Why we exist): Inspiring new ways to help shape our construction industry. Our Ambition (What we want to achieve): Re-imagine project controls through a digital lens, being the obvious choice for clients and the place to grow together with intention. \uD83D\uDD39 What's in it for you? · At CMR you will have the opportunity to professionally develop like nowhere you have worked before. · If you demonstrate the capability, our merit-based system will enable you to develop fast. · We use our in-house capability matrix to transparently track your progression and highlight development areas. · Join our small, dynamic team where every member has the chance to make a significant impact, shaping the future direction of our company and making a real difference. · We believe in rewarding our team for their achievements, celebrating our successes but equally helping each other when things are tough. \uD83D\uDD39 You'll · Support the implementation and maintenance of reporting processes and frameworks across a major infrastructure programme. · Lead the development, production, and continuous improvement of reporting products and performance dashboards. · Ensure reporting outputs are accurate, validated, insightful, and tailored to the needs of different stakeholder groups. · Review and improve the underlying processes that support reporting activities, enhancing data quality, governance, and reporting controls. · Collaborate closely with project controls, PMO, digital, and delivery teams to meet reporting requirements and support project objectives. · Build and maintain strong relationships with internal and external stakeholders across a complex programme environment. · Manage and develop reporting and data resources, providing leadership, mentoring, and resilience within the team. · Analyse complex datasets to identify trends, correlations, risks, and opportunities that support informed decision-making. · Transform and structure data in alignment with project controls frameworks, including WBS, CBS, and OBS structures. · Apply statistical analysis and forecasting techniques to support performance monitoring and predict future delivery trends. · Support the development and implementation of digital reporting solutions, dashboards, and business intelligence tools. · Champion a \"Digital by Default\" approach to reporting and help establish best practice data analytics and business intelligence frameworks. · Share knowledge, lessons learned, and reporting best practices to enhance project controls capability across the wider organisation. \uD83D\uDD39 We're looking for: Essential · Minimum 5 years' experience in reporting, performance management, or project controls within a major programme environment. · Experience developing and managing reporting processes, performance frameworks, and management information outputs. · Strong understanding of project controls disciplines and reporting structures, including WBS, CBS, and OBS frameworks. · Excellent written and verbal communication skills, with the ability to develop and challenge reporting narratives for a range of audiences. · Experience driving continuous improvement and implementing digital solutions within reporting environments. · Strong stakeholder management skills and the ability to build effective working relationships across multiple functions. · A detail-oriented individual who can synthesise complex information into clear, actionable insights. · Degree in a numerate discipline, HND, or equivalent qualification supported by relevant industry experience. Desirable · Experience working on major infrastructure, energy, nuclear, transportation, defence, or other large-scale capital projects. · Experience developing reporting frameworks on complex or mega-projects. · Proficiency in Power BI, data visualisation, data analytics, data mining, and statistical analysis techniques. · Experience working within highly regulated project environments. · Knowledge of modern business intelligence and digital reporting solutions. \uD83D\uDD39 At CMR we have a strong culture driven by our 9 Core Principles. We look to build a community of people that share our values and ambitions. We're proud that 96% of our team say CMR is a \"Great Place to Work\" – a reflection of our supportive culture, focus on people, and drive to do things differently. \uD83D\uDC49 Learn more here: https://cmr.london/who-we-are/ \uD83D\uDCCD Requirements and Location: · Full right to work in the UK. · Hybrid working arrangement, combining home working with regular attendance at client and/or London office locations. · Willingness to travel occasionally as required by project needs. \uD83D\uDCE6 Salary & Benefits · 25 days holiday (plus Bank Holidays) · Comprehensive Private Healthcare (Inc Dentist and Optician) · Life Assurance (x4 Salary) · Pension: employers' contribution of 4% · Company and personal performance-based bonus · Salary Sacrifice Scheme · Long Service Leave · Training and professional development · Regular social events · Perkbox – employee experience platform ➡️ Next Steps To apply to our vacancy please submit a copy of your CV for consideration. As we receive many applications to our roles, please include a short summary explaining why you want to join us and what you think you can bring to the team. We look forward to hearing from you! CMR welcomes and encourages diversity in our workforce. CMR is Disability Confident Committed and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin or disability or any other protected characteristics. We aim to create a culture where everyone can be themselves and is valued for their strengths and unique perspectives. #LI-DN1", "summaryDescription" : "Senior Reporting Manager at CMR. Skills: Reporting, Performance management, Project controls, Data analytics. Support reporting processes and frameworks. 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Data Infrastructure", "domainKnowledge" : "GTM performance; Pipeline reporting; Forecast reporting; Bookings reporting; Capacity reporting; Customer health reporting; Rep productivity reporting; SaaS playbook; Revenue operations; Sales strategy; GTM analytics; Sales org rhythm; Account executive decisions; Traditional SaaS playbook", "domainList" : [ "gtm-performance", "pipeline-reporting", "forecast-reporting", "bookings-reporting", "capacity-reporting", "customer-health-reporting", "rep-productivity-reporting", "saas-playbook", "revenue-operations", "sales-strategy", "gtm-analytics", "sales-org-rhythm", "account-executive-decisions", "traditional-saas-playbook" ], "domainSpecificKnowledge" : [ "GTM performance", "Pipeline reporting", "Forecast reporting", "Bookings reporting", "Capacity reporting", "Customer health reporting", "Rep productivity reporting", "SaaS playbook", "Revenue operations", "Sales strategy", "GTM analytics", "Sales org rhythm", "Account executive decisions", "Traditional SaaS playbook" ], "toolProficiency" : [ "Looker", "LookML", "Salesforce", "BigQuery" ], "documentationSkills" : "Document standards", "innovationCreativity" : "Analytical innovation; Design visual language; Develop original scoring; Develop prioritization methodologies; Internal R&D function", "problemSolvingSkills" : "Translate ambiguous executive asks; Convert loosely scoped asks; Anticipate second-order usage", "qualificationsBasic" : "Advanced SQL, Hands-on experience building in Looker, Experience building in LookML, Fluency with Salesforce data models, Comfort working in BigQuery, Experience building GTM reporting, Experience building revenue reporting", "qualificationsPreferred" : "8+ years in revenue operations, 8+ years in sales strategy, 8+ years in GTM analytics, Track record of building reporting leaders use, Genuine fluency in how GTM organizations operate", "remoteFriendly" : true, "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market organization is scaling fast, and the quality of our decisions increasingly depends on the quality of our reporting. We're looking for a Field Reporting and Insights Manager to build and own the reporting foundation that every GTM leader — from individual contributors to the CCO — relies on to run their business. This is not a dashboard maintenance role. It's a role for someone who understands that a single, well-designed view of pipeline health can change how a sales leader runs their Monday morning, and who can build that view because they understand how that leader actually thinks. You'll own the design and delivery of certified, centralized reporting across pipeline, forecast, hiring, customer health, and rep productivity — and you'll do it for a business whose model doesn't map cleanly onto the traditional SaaS playbook. Key responsibilities Build the reporting foundation Design, build, and certify the core reporting suite that serves as the single source of truth for GTM performance — spanning pipeline, forecast, bookings, capacity, customer health, and rep productivity Architect reporting with a clear audience hierarchy, so the same underlying data powers the CCO's board prep, the RVP's weekly operating review, and each rep's self-service view of their own book Partner with Analytics Engineering and Data Infrastructure to ensure data lineage is clean, metric definitions are governed, and calculations reconcile cleanly across Salesforce, Looker, and BigQuery Establish and own the standard for \"certified\" reporting, so that when a number appears in an operating review, no one has to ask where it came from Translate leadership needs into durable reporting Serve as a trusted analytical partner to GTM leadership; invest time understanding how leaders run their businesses, what decisions they make each week, and what they wish they could see but can't Convert loosely scoped asks into tightly scoped deliverables — and know when the right answer is a one-time analysis, a new dashboard panel, or a change to the weekly metrics pack Anticipate second-order usage: design reporting that holds up when it gets forwarded, screenshotted into a deck, or pulled into a conversation you weren't part of Drive adoption through enablement; a report no one uses is a failed report, regardless of how well it was built Drive analytical innovation Design the visual language for new concepts — whether that's consumption ramp across a cohort or the shape of a PLG-to-enterprise conversion curve — and find the one view that makes it click for the audience Leverage Claude to surface signal from unstructured data (call transcripts, deal notes, customer feedback) and turn it into structured reporting inputs Develop original scoring and prioritization methodologies — account propensity, deal health, whitespace, risk — suited to a business where the standard MEDDIC-plus-firmographics playbook only gets you partway there Serve as the team's internal R&D function for analytical methods: run experiments, share what works, and raise the bar for what GTM reporting can do Scale the function Build reporting infrastructure that scales ahead of the organization — what works for 30 sellers should still work for 300 Manage competing stakeholder requests with sound judgment: know when to say yes, when to consolidate three asks into one better solution, and when to push back Document standards, build templates, and create the playbook so that reporting quality doesn't depend on any one person being in the loop Minimum qualifications Advanced SQL and hands-on experience building in Looker and LookML (not just consuming dashboards) Fluency with Salesforce data models and comfort working in BigQuery or a comparable data warehouse Demonstrated ability to translate ambiguous executive asks into well-scoped, structured deliverables Strong data visualization sensibility, with an understanding that the best report is often the one with fewer things on it Experience building GTM or revenue reporting from the ground up in a high-growth environment Preferred qualifications 8+ years in revenue operations, sales strategy, GTM analytics, or a similar function, with a track record of building reporting that leaders actually use to run their business Genuine fluency in how GTM organizations operate: the rhythm of a sales org, what a forecast call sounds like, and how an account executive decides what to prioritize each week Experience with consumption-based, usage-based, or PLG revenue models where the standard pipeline-to-bookings-to-revenue funnel needs to be rethought Background in management consulting, sales strategy, or FP&A with subsequent operating experience Experience standing up data governance or metric certification programs A track record of using AI tools to accelerate analytical workflows, and a perspective on where that's headed The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000—$270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "Field Reporting Insights Manager at Anthropic. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering. Build reporting foundation. Design core reporting suite", "postedDate" : "2026-06-13T20:38:18.946", "createdAt" : "2026-06-13T20:38:18.946", "lastUpdated" : "2026-06-15T09:36:52.057", "ingestTimestamp" : "2026-06-13T20:38:18.946", "mongoId" : "6a2c91a974d8ee00a0983aba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data visualization", "Statistical analysis", "Quantitative analysis", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Reporting foundation", "Pipeline health", "Forecast reporting", "Customer health", "Rep productivity", "Data lineage", "Metric definitions", "Analytical partner", "Scoping deliverables", "Analytical innovation", "Scoring methodologies", "Prioritization methodologies", "Reporting standards", "Reporting playbook", "GTM 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"timestamp" : "2026-06-15T23:00:50.469", "fingerprint" : "40972c878b3fc7bfaf448fda2617a6c380401275eabe1858cfe0cd12cc420a1c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/c050b39a-32c8-4e61-991b-7abe13265ad3/apply", "externalId" : "c050b39a-32c8-4e61-991b-7abe13265ad3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Tableau, Power BI, Looker, Excel, Salesforce, HubSpot, Marketo, Eloqua", "professionalSkills" : [ "Marketing analytics strategy", "Performance measurement", "Data visualization", "Data storytelling", "Financial modeling", "Budgeting", "Forecasting", "Investment planning", "Predictive modeling", "Advanced analyses", "Attribution models", "Process execution" ], "hardSkillsList" : [ "KPI 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analytics", "Data storytelling", "Financial modeling", "Executive reporting" ], "coreResponsibilities" : "Define KPIs, Maintain KPIs, Define dashboards, Maintain dashboards, Define performance measurement frameworks, Maintain performance measurement frameworks, Evaluate campaign effectiveness, Evaluate funnel performance, Evaluate ROI, Evaluate customer acquisition trends, Translate datasets into recommendations, Improve marketing efficiency, Optimize marketing spend, Support business growth, Own executive reporting, Own board-level reporting, Provide monthly performance updates, Provide quarterly performance updates, Provide strategic presentations, Connect marketing activity to business outcomes, Manage marketing budgets, Manage forecasting, Manage financial modeling, Manage investment planning, Ensure effective resource allocation, Develop predictive models, Develop advanced analyses, Support strategic planning, Support scenario forecasting, Support performance optimization, Align metrics, Align attribution models, Align reporting standards, Manage one direct report, Mentor one direct report, Ensure operational excellence, Ensure continuous improvement, Leverage AI-driven tools, Enhance reporting efficiency, Improve forecasting accuracy, Streamline analytics workflows", "teamCollaboration" : "Partner with Marketing leadership; Partner with Finance leadership; Collaborate with Sales; Collaborate with Revenue Operations; Collaborate with Product; Collaborate with Customer Success; Collaborate with Executive teams; Influence stakeholders", "projectManagementSkills" : [ "Budgeting", "Forecasting", "Investment planning" ], "domainKnowledge" : "Marketing analytics; Revenue operations; Modern data-driven marketing", "domainList" : [ "marketing-analytics", "revenue-operations", "modern-data-driven-marketing" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Revenue operations", "Modern data-driven marketing" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Excel", "Salesforce", "HubSpot", "Marketo", "Eloqua" ], "communicationSkills" : "Executive reporting; Board-level reporting; Data storytelling; Strategic presentations", "innovationCreativity" : "AI-driven tools; Predictive modeling; Automation", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Improve marketing efficiency; Optimize marketing spend; Support business growth; Ensure effective resource allocation; Enhance reporting efficiency; Improve forecasting accuracy; Streamline analytics workflows", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proven experience delivering executive-level reporting, Advanced proficiency in Excel, Experience working with CRM, Experience working with marketing automation systems, Experience managing marketing budgets, Experience forecasting, Experience performance measurement frameworks, Bachelor’s degree in Marketing, Business, Economics, Statistics, Finance, or equivalent experience", "qualificationsPreferred" : "Prior people management experience, Leadership of cross-functional initiatives", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Lead marketing analytics strategy by defining and maintaining KPIs, dashboards, and performance measurement frameworks that evaluate campaign effectiveness, funnel performance, ROI, and customer acquisition trends. Deliver actionable insights by translating complex datasets into clear recommendations that improve marketing efficiency, optimize spend, and support business growth. Own executive and board-level reporting, including monthly and quarterly performance updates, strategic presentations, and data storytelling that connects marketing activity to business outcomes. Partner with Marketing and Finance leadership to manage budgeting, forecasting, financial modeling, and investment planning to ensure effective resource allocation. Develop predictive models and advanced analyses to support strategic planning, scenario forecasting, and performance optimization. Collaborate cross-functionally with Sales, Revenue Operations, Product, Customer Success, and Executive teams to align metrics, attribution models, and reporting standards. Manage and mentor one direct report responsible for marketing operations support, lead routing, and process execution, ensuring operational excellence and continuous improvement. Leverage AI-driven tools and automation to enhance reporting efficiency, improve forecasting accuracy, and streamline analytics workflows. Requirements: 5+ years of experience in marketing analytics, business analytics, revenue operations, finance analytics, or similar data-driven roles. Proven experience delivering executive-level reporting, presentations, and data-driven recommendations to senior leadership and board-level stakeholders. Strong expertise in data visualization and BI tools such as Tableau, Power BI, Looker, or equivalent platforms. Advanced proficiency in Excel and experience working with CRM and marketing automation systems such as Salesforce, HubSpot, Marketo, or Eloqua. Experience managing marketing budgets, forecasting, and performance measurement frameworks in a complex business environment. Strong analytical, problem-solving, and storytelling skills with the ability to translate data into strategic business insights. Familiarity with AI-powered analytics tools, automation, predictive analytics, and modern data-driven marketing practices. Experience working in cross-functional environments and influencing stakeholders across Marketing, Sales, Finance, and Product teams. Bachelor’s degree in Marketing, Business, Economics, Statistics, Finance, or a related field, or equivalent experience. Prior people management experience or leadership of cross-functional initiatives is a strong plus. Benefits: Competitive salary range of $95,900–$137,200, plus bonus eligibility. Comprehensive benefits package including medical, dental, and vision insurance. 401(k) retirement savings plan, health savings account options, and life insurance coverage. Paid time off, sick leave, and parental leave to support work-life balance. Employee assistance program, mental health resources, and wellness support services. Additional perks such as pet insurance and employee support programs. Remote work flexibility within a full-time structure. Inclusive and equal opportunity workplace with accommodations available throughout the hiring process. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Marketing Analytics Manager. Skills: Marketing analytics, Data storytelling, Financial modeling, Executive reporting. Define KPIs. Maintain KPIs", "postedDate" : "2026-06-12T06:37:44.070", "createdAt" : "2026-06-12T06:37:44.070", "lastUpdated" : "2026-06-15T23:00:50.469", "ingestTimestamp" : "2026-06-14T22:11:53.554", "mongoId" : "6a2cb20d74d8ee00a09df5e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "KPI definition", "Funnel performance analysis", "ROI analysis", "Customer acquisition analysis", "Spend optimization", "Resource allocation", "Scenario forecasting", "Reporting standards", "Lead routing", "Leadership", "Marketing analytics", "Data storytelling", "Financial modeling", "Executive reporting", "Marketing analytics strategy", "Performance measurement", "Data visualization", "Budgeting", "Forecasting", "Investment planning", "Predictive modeling", "Advanced analyses", "Attribution models", "Process execution", "Revenue operations", "Modern data-driven marketing", "Tableau", "Power BI", "Looker", "Excel", "Salesforce", "HubSpot", "Marketo", "Eloqua" ], "skillCount" : 34, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 769.93335, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c79c474d8ee00a094303e", "title" : "Implementation and Client Analytics Manager", "company" : "TPR Education, LLC", "industry" : "Education", "salary" : { "min" : 80000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-15T12:02:44.538", "fingerprint" : "2a69ae3bd46a16a512768f461ca314a33503097d6d86f346bc36881d827ffea5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tpreducationllc/jobs/4274660009", "externalId" : "4274660009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "LTI, SAML, CAS, Shibboleth, SQL", "professionalSkills" : [ "Client relationship management", "Data analytics", "Technical implementation", "Project management", "Customer success", "Client services", "Technical consulting", "Program implementation", "Strategic decision-making" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Client onboarding", "Technical support", "Data visualization", "Program optimization", "Data governance" ], "softSkillsList" : [ "Problem solver", "Collaborative partner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Client onboarding", "level" : "intermediate" }, { "name" : "Technical support", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Program optimization", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" }, { "name" : "Collaborative partner" } ], "majorSkills" : "Client implementation, Data analytics, Technical integrations", "majorSkillsList" : [ "Client implementation", "Data analytics", "Technical integrations" ], "coreResponsibilities" : "Lead onboarding efforts, Lead implementation efforts, Lead technical support efforts, Manage implementation timelines, Manage launch activities, Manage training programs, Manage client communications, Build relationships with stakeholders, Serve as trusted advisor, Support client integrations, Provide expertise on technologies, Resolve technical issues, Improve implementation processes, Analyze usage data, Analyze engagement data, Analyze outcomes data, Identify trends, Identify opportunities, Identify program optimization areas, Develop client-facing reports, Develop dashboards, Develop visualizations, Develop presentations, Translate datasets into insights, Support strategic decision-making, Support reporting process development, Support analytics best practices, Support data governance standards, Improve reporting workflows, Improve implementation processes, Improve client-facing tools, Contribute to client reviews, Contribute to renewals, Contribute to impact discussions", "teamCollaboration" : "Cross-functional teams; Technical teams; Business teams", "projectManagementSkills" : [ "Project management", "Implementation timelines" ], "domainKnowledge" : "Learning Management Systems; LMS integrations; Authentication platforms; Student information systems; LTI; SAML; CAS; Shibboleth; Tutoring programs; Educational outcomes", "domainList" : [ "learning-management-systems", "lms-integrations", "authentication-platforms", "student-information-systems", "lti", "saml", "cas", "shibboleth", "tutoring-programs", "educational-outcomes" ], "domainSpecificKnowledge" : [ "Learning Management Systems", "LMS integrations", "Authentication platforms", "Student information systems", "LTI", "SAML", "CAS", "Shibboleth", "Tutoring programs", "Educational outcomes" ], "toolProficiency" : [ "Excel", "SQL", "Salesforce", "Power BI", "Tableau", "SSRS" ], "communicationSkills" : "Client-facing discussions; Written communication; Verbal communication; Presentation skills", "problemSolvingSkills" : "Solving complex problems; Translating data", "qualificationsBasic" : "Bachelor's degree, 3-5 years experience, Manage multiple implementations, Experience with LMS, Experience with LTI, Experience with SAML, Experience with CAS, Experience with Shibboleth, Advanced Excel functions, SQL", "qualificationsPreferred" : "Salesforce experience preferred, Power BI experience preferred, Tableau experience preferred, SSRS experience preferred, Higher education experience preferred, K-12 school districts experience preferred, Public libraries experience preferred, Education technology experience preferred", "rawDescription" : "About The Princeton Review The Princeton Review is a leading tutoring, test prep, and college admission services company. Every year, it helps millions of college- and graduate school–bound students achieve their education and career goals through online and in-person courses delivered by a network of more than 4,000 teachers and tutors, online resources, and its more than 150 print and digital books published by Penguin Random House. The company’s Tutor.com brand is one of the largest online tutoring services in the U. S. It comprises a community of thousands of tutors who have delivered more than 22 million one-to-one tutoring sessions. The Princeton Review is headquartered in New York, NY. Follow the company on LinkedIn, YouTube and Instagram. About the Position Interested in helping institutional partners across the country improve student outcomes through technology, data, and strategic program implementation? Join Tutor.com/The Princeton Review as an Implementation and Client Analytics Manager. This role combines technical implementation leadership, client relationship management, and data analytics expertise to support successful tutoring program launches and ongoing institutional success. You will serve as a trusted partner to colleges, universities, public libraries, and K-12 school districts by managing implementations, supporting technical integrations, and delivering meaningful reporting and insights that help clients maximize the impact of their tutoring programs. The ideal candidate enjoys solving complex problems, working cross-functionally, analyzing large datasets, and translating data into actionable recommendations for both technical and non-technical audiences. What You'll Do Client Implementation & Customer Success Lead onboarding, implementation, and technical support efforts for institutional clients adopting Tutor.com services. Manage implementation timelines, launch activities, training programs, and client communications to ensure successful deployments. Build strong relationships with institutional stakeholders while serving as a trusted advisor throughout the client lifecycle. Technical Consulting & Integrations Support client integrations with Learning Management Systems (LMS), authentication platforms, and student information systems. Provide expertise on technologies and standards including LTI, SAML, CAS, and Shibboleth. Partner with Product, Engineering, Operations, and Customer Success teams to resolve technical issues and improve implementation processes. Data Analytics & Reporting Analyze institutional usage, engagement, and outcomes data to identify trends, opportunities, and areas for program optimization. Develop client-facing reports, dashboards, visualizations, and presentations that communicate program effectiveness, ROI, and student impact. Translate complex datasets into actionable insights that support strategic decision-making for both clients and internal stakeholders. Operational Excellence & Continuous Improvement Support development of scalable reporting processes, analytics best practices, and data governance standards. Collaborate across teams to improve reporting workflows, implementation processes, and client-facing tools. Contribute to strategic client reviews, renewals, and impact discussions through data-driven storytelling and recommendations. Who You Are You have a bachelor’s degree and 3–5 years of experience in implementation, project management, customer success, client services, or a related field. You have experience managing multiple client implementations simultaneously while maintaining exceptional customer service. You have experience supporting Learning Management Systems (LMS) and related technologies, including authentication and integration standards such as LTI, SAML, CAS, and Shibboleth. You are comfortable working with data and reporting tools, including advanced Excel functions and SQL. Experience with Salesforce, Power BI, Tableau, SSRS, or similar reporting and visualization platforms is strongly preferred. You can interpret complex datasets and present insights clearly to both technical and non-technical audiences. You have strong written, verbal, and presentation skills and are comfortable leading client-facing discussions. You are highly organized, detail-oriented, and capable of managing multiple priorities in a fast-paced environment. You are a proactive problem solver who enjoys learning new technologies and identifying scalable solutions. Experience working with higher education institutions, K-12 school districts, public libraries, or education technology organizations is preferred. You are a collaborative partner who works effectively across technical and business teams. You are passionate about using data, technology, and student support services to improve educational outcomes. The Princeton Review and Tutor.com offer a competitive salary which commensurates with experience and skills. US Pay Range $80,000—$90,000 USD The Princeton Review is an equal employment opportunity employer. The Princeton Review’s policy is not to discriminate against any applicant or employee based on, and all qualified applicants will receive consideration for employment without regard to, race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, marital status, disability, military status, genetic information, or any other basis protected by applicable law. The Princeton Review also prohibits harassment of applicants or employees based on any of these protected categories. It is also The Princeton Review’s policy to comply with all applicable laws respecting consideration of unemployment status in making hiring decisions. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Review Privacy Policy for California Applicants", "summaryDescription" : "Implementation and Client Analytics Manager at TPR Education, LLC. Skills: Client implementation, Data analytics, Technical integrations. Lead onboarding efforts. Lead implementation efforts", "postedDate" : "2026-06-14T03:12:38.657", "createdAt" : "2026-06-14T03:12:38.657", "lastUpdated" : "2026-06-15T12:02:44.538", "ingestTimestamp" : "2026-06-14T03:12:38.657", "mongoId" : "6a2c79c474d8ee00a094303e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Reporting", "Client onboarding", "Technical support", "Data visualization", "Program optimization", "Data governance", "Problem solver", "Collaborative partner", "Client implementation", "Data analytics", "Technical integrations", "Client relationship management", "Technical implementation", "Project management", "Customer success", "Client services", "Technical consulting", "Program implementation", "Strategic decision-making", "Implementation timelines", "Learning Management Systems", "LMS integrations", "Authentication platforms", "Student information systems", "LTI", "SAML", "CAS", "Shibboleth", "Tutoring programs", "Educational outcomes", "Excel", "SQL", "Salesforce", "Power BI", "Tableau", "SSRS" ], "skillCount" : 37, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 763.1278, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "69e1043f2beec4dd3def2458", "title" : "Business Intelligence Engineer, AMZL Strategic Planning-Analytics Automation", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 99500.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T04:39:16.169", "fingerprint" : "8f7c11d1c4df20acdb7361e95f2c557f82fc911d93016bf3d55bc5c3ed3a3d75", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386811/apply", "externalId" : "065e1229-0a94-42a4-86a9-c0f8ac6ebef6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, AWS, S3, Redshift, Athena, Quicksight, Tableau, NoSQL, Oracle", "professionalSkills" : [ "Business intelligence", "Data engineering", "Data Science", "Topology Planning", "Capacity Engineering", "Network Planning", "Strategic Planning", "Analytics Automation" ], "hardSkillsList" : [ "Statistical analysis", "Analytical abilities", "Data management", "Regression algorithms", "Classification algorithms" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Analytical abilities", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Regression algorithms", "level" : "intermediate" }, { "name" : "Classification algorithms", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics Automation", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics Automation" ], "coreResponsibilities" : "Partner with leaders, Define analytical needs, Translate needs to BI designs, Review visualization standards, Design analytics solutions, Develop analytics solutions, Test analytics solutions, Ensure data accuracy, Develop best practices, Reduce coding effort, Reuse code, Replace complex data handling, Drive optimal analysis solutions, Insist on highest standards, Work backwards from KPIs, Design analysis process, Automate with simple solutions, Produce reliable BIE solutions, Enable integration, Engage business leaders, Understand challenges, Translate challenges to opportunities, Review code, Ensure data privacy, Inform leaders of progress, Outline roadmap milestones, Define automation solutions, Host data product workshops, Enable cross functional usage, Influence Data Engineering improvements, Innovate on ML solutions, Innovate on AI solutions", "teamCollaboration" : "Partner with Data Scientists; Partner with Engineers; Cross functional collaboration; Cross functional teams; Cross org usage", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Amazon Logistics; Delivery Station Topology; Capacity Engineering; Topology Planning", "domainList" : [ "amazon-logistics", "delivery-station-topology", "capacity-engineering", "topology-planning" ], "domainSpecificKnowledge" : [ "Amazon Logistics", "Delivery Station Topology", "Capacity Engineering", "Topology Planning" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Athena", "Python", "SQL", "Excel" ], "communicationSkills" : "Presenting recommendations", "innovationCreativity" : "Innovative data products; Innovative design", "problemSolvingSkills" : "Analytical abilities; Transform business problems", "qualificationsBasic" : "5+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with data visualization, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience using SQL, Scripting experience with Python, Experience developing recommendations, Experience presenting recommendations, Experience with Regression algorithms, Experience with Classification algorithms", "qualificationsPreferred" : "Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with AWS, Experience with Excel, Familiarity with Tableau, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to drive high-visibility, strategic Analytics solutions to help streamline Amazon's operations? AMZL Strategic Planning-Analytics Automation is seeking an experienced Business Intelligence Engineer (BIE), to lead the business analytics & automation in partnership with Data Scientists and Engineers (data, process). Our mission is to simplify analytics with innovative data products. This role is looking for a motivated individual with strong analytical, technical background to join our team as BIE II. In this role, you will be responsible for designing and supporting best-in-class business analytics solutions to help leadership make impactful business decisions. You will own the design, development of analytics solutions to support Topology Planning and Capacity Engineering functions. You will continue to raise the bar for creating scalable, efficient and automated processes for large-scale data analysis. Position requires excellent statistical, analytical abilities with deep knowledge of business intelligence solutions, data engineering and basic knowledge of Data Science. Successful candidate will be a self-starter , comfortable with ambiguity, capable of working in a fast-paced environment, with strong attention to detail. They are able to collaborate with customers to transform business problems into technical/BIE requirements and deliverables. Your cross functional collaboration inspires your peers and stakeholders to produce the best BIE/Analytics experience. Key job responsibilities - Partner with Network Planning and Capacity Engineering leaders and proactively define analytical needs translated as BI designs using Agentic AI solutions - Continuously review and update 'visualization standards' for simplified analytics experience - Design, develop, test solutions to ensure data management processes, visualization outputs are accurately representing the business insights - Develop best practice to reduce coding effort by reuse where applicable; replace complex data handling steps with innovative design and simpler tools/utilities - Drive peers and stakeholders for optimal analysis solutions and insist on highest standards when dealing with data, business logic usage - Work backwards from KPIs used for business decisions and design analysis process to automate with simple solutions - Use AWS S3, Redshift, Athena, Quicksight, Tableau to produce reliable BIE solutions. Enable seamless integration between BIE solutions and Strategic Planning, Excel models - Working knowledge of Regression and Classification algorithms and ability to partner with Research / Data Scientists A day in the life Engage business leaders to understand challenges and translating to automation opportunities. Review code (Python, SQL) for compliance. Ensure data used meets privacy compliancy expectations. Inform leaders of progress, dependencies and outline roadmap- milestones. Collaborate with business leaders to define 'automation+GenAI solutions' for OP1 and OP2 goals. Host data product workshops and enable cross functional, cross org usage. Partner with ORBIT, influencing Data Engineering solution improvements. Partner with LastMile Research Science to innovate on ML, AI solutions/products About the team AMZL (Amazon Logistics) is the last mile leg of Amazon. We ‘plan and design the Delivery Station Topology’. AMZL network continues to grow multi-fold in North America and Emerging Market countries, delivering better customer experience at speed to customers. This growth will help AMZL gain most of distribution network share, in every country across the world. AMZL Strategic Planning Team is the key, to set foundation for AMZL network expansion roadmap for 1-5 years horizon. Basic Qualifications: - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually", "summaryDescription" : "Business Intelligence Engineer, AMZL Strategic Planning-Analytics Automation at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Analytics Automation. Partner with leaders. Define analytical needs", "postedDate" : "2026-06-13T10:28:27.168", "createdAt" : "2026-06-13T10:28:27.168", "lastUpdated" : "2026-06-15T04:39:16.169", "ingestTimestamp" : "2026-06-13T10:28:27.168", "mongoId" : "69e1043f2beec4dd3def2458", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386811/apply", "salaryAnnualMin" : 99500, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Analytical abilities", "Data management", "Regression algorithms", "Classification algorithms", "Business Intelligence", "Data Engineering", "Analytics Automation", "Business intelligence", "Data engineering", "Data Science", "Topology Planning", "Capacity Engineering", "Network Planning", "Strategic Planning", "Roadmap planning", "Amazon Logistics", "Delivery Station Topology", "Tableau", "Quicksight", "Redshift", "Athena", "Python", "SQL", "Excel" ], "skillCount" : 25, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 760.65814, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e34c40e2acd1b997b2", "title" : "Manager, Customer Service Analytics", "company" : "Audible GmbH", "industry" : "Business Intelligence, Business Intel Engineer, subsidiaries", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Customer Service Analytics in Berlin, Germany, adjusted for industry and seniority." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T04:08:52.820", "fingerprint" : "9a3202e1bf967c0edf9f17a958f6d51c4cd714d25cb4abe30cd849c10181ff99", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413473/apply", "externalId" : "bced5c40-bb78-4262-b8ed-bcaf55d70ba0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Tableau, Redshift, Oracle, NoSQL", "professionalSkills" : [ "Business acumen", "Data storytelling", "Analytical frameworks" ], "hardSkillsList" : [ "Data visualization", "KPI tracking", "Root cause analysis", "Metric definition", "Data governance" ], "softSkillsList" : [ "Curious", "Independent" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Independent" } ], "majorSkills" : "Business Intelligence, Data Analytics, Reporting", "majorSkillsList" : [ "Business Intelligence", "Data Analytics", "Reporting" ], "coreResponsibilities" : "Design BI solutions, Implement BI solutions, Optimize BI solutions, Track KPIs, Provide insights, Break down business metrics, Develop leading indicators, Anticipate leadership questions, Develop analyses, Develop visualizations, Automate identification of dimensions, Enable root cause analysis, Develop data visualizations, Communicate complex trends, Develop documentation, Communicate findings, Balance stakeholder requirements, Maintain focus on long-term solutions, Serve as data governance advocate, Ensure consistency in definitions, Ensure data quality, Partner with data scientists, Partner with engineers, Partner with product managers, Partner with business leaders, Align reporting with objectives", "teamCollaboration" : "Cross-functional teams; Executive audiences; Technical stakeholders; Non-technical stakeholders; Data scientists; Engineers; Product managers; Business leaders", "domainKnowledge" : "Customer Service Analytics", "domainList" : [ "customer-service-analytics" ], "domainSpecificKnowledge" : [ "Customer Service Analytics" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Actionable narratives; Executive reporting; Clear documentation; Concise insights", "documentationSkills" : "Clear documentation", "problemSolvingSkills" : "Problem solving; Root cause analysis", "qualificationsBasic" : "3+ years experience analyzing data, Knowledge of advanced skills in Excel, Experience working with multiple groups of stakeholders", "qualificationsPreferred" : "Familiarity with Tableau preferred, Experience handling ambiguous or undefined challenges, Experience working effectively across cross-functional teams, Experience with process improvement initiatives, Experience supporting executive reporting and business reviews, Experience working in media, entertainment, or subscription-based businesses, Understanding of data governance principles and practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a Business Intelligence Engineer within the Customer Service Analytics team at Audible, you'll serve as a data-driven decision enabler for our Customer Service Leadership Team. You will be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives that anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions. ABOUT YOU You're a data storyteller who balances technical expertise with strong business acumen. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences. As a Business Intelligence Engineer, you will... - Design, implement, and optimize BI solutions that effectively track KPIs and provide insights for monthly business reviews and executive reporting, ensuring speed, reliability, and scalability - Break down high-level business metrics into constituent components and leading indicators that provide actionable insights for leadership - Anticipate leadership questions and proactively develop analyses and visualizations that address emerging business needs - Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis - Develop concise, impactful data visualizations that communicate complex trends and insights effectively to executive audiences - Develop clear documentation that bridges technical implementation with business context, enabling both technical and non-technical stakeholders to understand reporting methodologies - Communicate findings and insights to stakeholders in a clear, concise, and actionable manner - Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions - Serve as a data governance advocate, ensuring consistency in metrics definitions and data quality - Partner with data scientists, engineers, product managers, and business leaders to align reporting with strategic objectives ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) - 3+ years experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience working with multiple groups of stakeholders Preferred Qualifications: - Experience handling ambiguous or undefined challenges through strong problem solving abilities - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - Experience with process improvement initiatives that enhanced data accessibility or quality - Experience supporting executive reporting and business reviews - Experience working in media, entertainment, or subscription-based businesses - Understanding of data governance principles and practices Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager, Customer Service Analytics at Audible GmbH. Skills: Business Intelligence, Data Analytics, Reporting. Design BI solutions. Implement BI solutions", "postedDate" : "2026-06-13T06:37:10.535", "createdAt" : "2026-06-13T06:37:10.535", "lastUpdated" : "2026-06-15T04:08:52.820", "ingestTimestamp" : "2026-06-13T06:37:10.535", "mongoId" : "69fda4e34c40e2acd1b997b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413473/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data visualization", "KPI tracking", "Root cause analysis", "Metric definition", "Data governance", "Curious", "Independent", "Business Intelligence", "Data Analytics", "Reporting", "Business acumen", "Data storytelling", "Analytical frameworks", "Customer Service Analytics", "Tableau" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 751.4372, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e4952beec4dd3d93174f", "title" : "Business Intelligence Engineer, AMZL Strategic Planning-Analytics Automation", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 99500.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T00:10:58.256", "fingerprint" : "a6b2d1149af990f929af538b24af20b1de17b6b30b13e7768c9f262a8b6c83d5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385813/apply", "externalId" : "ef670f48-a788-4ffb-a6a2-72858a3f1196", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, AWS S3, AWS Redshift, AWS Athena, AWS Quicksight, Tableau, Regression, Classification", "professionalSkills" : [ "Business intelligence", "Data engineering", "Data Science", "Topology Planning", "Capacity Engineering", "Network Planning", "Agentic AI", "Strategic Planning", "Analytics Automation" ], "hardSkillsList" : [ "Statistical analysis", "Analytical abilities", "Data management", "Process automation", "ML model performance" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Analytical abilities", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "ML model performance", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics Automation", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics Automation" ], "coreResponsibilities" : "Partner with leaders to define analytical needs, Use Agentic AI, Review visualization standard, Design solutions, Develop solutions, Test solutions, Ensure data accuracy, Develop best practice for reuse, Reduce coding effort, Drive optimal analysis solutions, Insist on highest standards, Work backwards from KPIs, Design analysis process, Automate with simple solutions, Produce reliable BIE solutions, Enable integration, Engage business leaders, Translate challenges to opportunities, Review code for compliance, Ensure data privacy, Inform leaders of progress, Outline roadmap milestones, Define GenAI solution goals, Host workshops, Enable cross functional usage, Influence Data Engineering improvements, Improve ML model performance", "teamCollaboration" : "Partner with Data Scientists; Partner with Data Engineers; Cross functional collaboration; Partner with Network Planning; Partner with Capacity Engineering; Collaborate with business leaders; Partner with ORBIT; Partner with LastMile Research Science", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Topology Planning; Capacity Engineering; AMZL Logistics; Delivery Station Topology", "domainList" : [ "topology-planning", "capacity-engineering", "amzl-logistics", "delivery-station-topology" ], "domainSpecificKnowledge" : [ "Topology Planning", "Capacity Engineering", "AMZL Logistics", "Delivery Station Topology" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Athena", "Python", "SQL", "Excel" ], "communicationSkills" : "Presenting recommendations", "innovationCreativity" : "Innovative design", "problemSolvingSkills" : "Analytical abilities; Transform business problems", "qualificationsBasic" : "5+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with data visualization, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience using SQL, Scripting experience with Python, Experience developing recommendations, Experience presenting recommendations", "qualificationsPreferred" : "Experience with AWS EC2, Experience with AWS DynamoDB, Experience with AWS S3, Experience with AWS Redshift, Knowledge of advanced Excel, Familiarity with Tableau preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to drive high-visibility, strategic Analytics solutions to help streamline Amazon's operations? AMZL Strategic Planning-Analytics Automation is seeking an experienced Business Intelligence Engineer (BIE), to lead the business analytics & automation in partnership with Data Scientists and Engineers (data, process). Our mission is to simplify analytics with innovative data products. This role is looking for a motivated individual with strong analytical, technical background to join our team as BIE II. In this role, you will be responsible for designing and supporting best-in-class business analytics solutions to help leadership make impactful business decisions. You will own the design, development of analytics solutions to support Topology Planning and Capacity Engineering functions. You will continue to raise the bar for creating scalable, efficient and automated processes for large-scale data analysis. Position requires excellent statistical, analytical abilities with deep knowledge of business intelligence solutions, data engineering and basic knowledge of Data Science. Successful candidate will be a self-starter , comfortable with ambiguity, capable of working in a fast-paced environment, with strong attention to detail. They are able to collaborate with customers to transform business problems into technical/BIE requirements and deliverables. Your cross functional collaboration inspires your peers and stakeholders to produce the best BIE/Analytics experience. Key job responsibilities - Partner with Network Planning and Capacity Engineering leaders and proactively define analytical needs to BI designs, use Agentic AI - Continuously review and update 'visualization standard' for simplified analytics experience - Design, develop, test solutions to ensure data management processes, visualization outputs are accurately representing the business insights - Develop best practice to reduce coding effort by reuse where applicable; replace complex data handling steps with innovative design and simpler tools/utilities - Drive peers and stakeholders for optimal analysis solutions and insist on highest standards when dealing with data, business logic usage - Work backwards from KPIs used for business decisions and design analysis process to automate with simple solutions - Use AWS S3, Redshift, Athena, Quicksight, Tableau to produce reliable BIE solutions. Enable seamless integration between BIE solutions and Strategic Planning, Excel models - Working knowledge of Regression , Classification algorithms and ability to partner with Data Scientists A day in the life Engage business leaders to understand challenges and translating to automation opportunities. Review code (Python, SQL) for compliance. Ensure data used meets privacy com pliancy expectations. Inform leaders of progress, dependencies and outline roadmap- milestones. Collaborate with business leaders to define 'automation+GenAI' solution OP1 and OP2 goals. Host workshops with data products and enable cross functional, cross org usage. Partner with ORBIT and influence Data Engineering solution improvements. Partner with LastMile Research Science to improve ML model performance to support automation. About the team AMZL (Amazon Logistics) is the last mile leg of Amazon. We ‘plan and design the Delivery Station Topology’. AMZL network continues to grow multi-fold in North America and Emerging Market countries, delivering better customer experience at speed to customers. This growth will help AMZL gain most of distribution network share, in every country across the world. AMZL Strategic Planning Team is the key, to set foundation for AMZL network expansion roadmap for 1-5 years horizon. Basic Qualifications: - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually", "summaryDescription" : "Business Intelligence Engineer, AMZL Strategic Planning-Analytics Automation at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Analytics Automation. Partner with leaders to define analytical needs. Use Agentic AI", "postedDate" : "2026-06-13T04:39:58.566", "createdAt" : "2026-06-13T04:39:58.566", "lastUpdated" : "2026-06-15T00:10:58.256", "ingestTimestamp" : "2026-06-13T04:39:58.566", "mongoId" : "69d5e4952beec4dd3d93174f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385813/apply", "salaryAnnualMin" : 99500, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Analytical abilities", "Data management", "Process automation", "ML model performance", "Business Intelligence", "Data Engineering", "Analytics Automation", "Business intelligence", "Data engineering", "Data Science", "Topology Planning", "Capacity Engineering", "Network Planning", "Agentic AI", "Strategic Planning", "Roadmap planning", "AMZL Logistics", "Delivery Station Topology", "Tableau", "Quicksight", "Redshift", "Athena", "Python", "SQL", "Excel" ], "skillCount" : 26, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 750.40076, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb21074d8ee00a09dfc6d", "title" : "Senior Marketing Automation Manager", "industry" : "Marketing", "salary" : { "min" : 125000.0, "max" : 165000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Marketing Automation Manager in Switzerland, adjusted for the technology industry and remote work." }, "location" : "Switzerland", "locations" : [ "Switzerland" ], "timestamp" : "2026-06-15T23:13:35.502", "fingerprint" : "82265bf33c17bf3605169b503aca37235a332c5b03015a5a4e19c3060ce61806", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/c9e7b7a2-a4bc-4f56-aba6-64a71e6c715e/apply", "externalId" : "c9e7b7a2-a4bc-4f56-aba6-64a71e6c715e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Switzerland", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Marketo, HubSpot, Salesforce Marketing Cloud, Python, JavaScript, SQL, Velocity", "professionalSkills" : [ "Lifecycle marketing", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Marketing technology" ], "hardSkillsList" : [ "Marketing automation", "CRM integration", "Data flow management", "Lead scoring", "Segmentation", "Performance metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CRM integration", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Lead scoring", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Marketing automation, CRM, Lifecycle marketing, Segmentation", "majorSkillsList" : [ "Marketing automation", "CRM", "Lifecycle marketing", "Segmentation" ], "coreResponsibilities" : "Design advanced lifecycle marketing journeys, Build advanced lifecycle marketing journeys, Optimize advanced lifecycle marketing journeys, Develop scalable marketing automation workflows, Maintain scalable marketing automation workflows, Monitor platform performance, Analyze platform performance, Optimize platform performance, Lead experimentation initiatives, Build lead scoring frameworks, Refine lead scoring frameworks, Build engagement frameworks, Refine engagement frameworks, Manage integrations between CRM systems, Manage automations between CRM systems, Leverage data insights, Leverage segmentation strategies, Stay up to date with trends, Continuously improve automation capabilities, Continuously improve automation processes", "teamCollaboration" : "Cross-functional marketing teams; Data teams; Technical teams; Non-technical teams", "domainKnowledge" : "B2B marketing; Technology marketing; Marketing automation best practices; CRM data structures; Lead generation funnels; Marketing performance metrics; Marketing technology trends", "domainList" : [ "b2b-marketing", "technology-marketing", "marketing-automation-best-practices", "crm-data-structures", "lead-generation-funnels", "marketing-performance-metrics", "marketing-technology-trends" ], "domainSpecificKnowledge" : [ "B2B marketing", "Technology marketing", "Marketing automation best practices", "CRM data structures", "Lead generation funnels", "Marketing performance metrics", "Marketing technology trends" ], "toolProficiency" : [ "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "continuousLearning" : "Personal learning and development budget", "innovationCreativity" : "Experimental mindset", "problemSolvingSkills" : "Analytical mindset; Translate insights into strategies", "outcomesObjectives" : "Improve engagement; Improve conversion; Support lead generation; Support nurturing; Support customer lifecycle; Ensure system health; Ensure operational efficiency; Improve marketing outcomes; Align frameworks with growth objectives; Ensure seamless data flow; Ensure campaign execution; Support broader marketing strategies; Improve personalization; Improve targeting; Improve campaign effectiveness", "qualificationsBasic" : "Extensive experience in marketing automation, Extensive experience in CRM operations, Extensive experience in lifecycle marketing, B2B or technology-driven environment experience, Hands-on expertise with Marketo, Hands-on expertise with HubSpot, Hands-on expertise with Salesforce Marketing Cloud, Hands-on expertise with similar marketing automation tools, Proven experience designing marketing automation workflows, Proven experience implementing marketing automation workflows, Proven experience designing lead scoring models, Proven experience implementing lead scoring models, Proven experience designing segmentation strategies, Proven experience implementing segmentation strategies, Solid understanding of CRM data structures, Solid understanding of lead generation funnels, Solid understanding of marketing performance metrics, Experience integrating CRM systems with other platforms, Experience managing data flows across marketing technology stacks, Working knowledge of Python, Working knowledge of JavaScript, Working knowledge of SQL, Working knowledge of Velocity, Analytical mindset, Excellent understanding of modern marketing technology trends, Excellent understanding of automation best practices, Proactive, experimental mindset", "qualificationsPreferred" : "Global collaboration experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and optimize advanced lifecycle marketing journeys across email and multi-channel CRM environments to improve engagement and conversion. Develop and maintain scalable marketing automation workflows that support lead generation, nurturing, and customer lifecycle initiatives. Monitor, analyze, and optimize CRM and marketing automation platform performance, ensuring system health and operational efficiency. Lead experimentation initiatives across segmentation, targeting, messaging, and conversion optimization to improve marketing outcomes. Build and refine lead scoring, lead nurturing, and engagement frameworks aligned with business growth objectives. Manage integrations and automations between CRM systems and external platforms to ensure seamless data flow and campaign execution. Collaborate with cross-functional marketing and data teams to implement scalable automation solutions that support broader marketing strategies. Leverage data insights and segmentation strategies to improve personalization, targeting, and campaign effectiveness. Stay up to date with emerging marketing technology trends and continuously improve automation capabilities and processes. Requirements Extensive experience in marketing automation, CRM operations, or lifecycle marketing roles in a B2B or technology-driven environment. Strong hands-on expertise with platforms such as Marketo, HubSpot, Salesforce Marketing Cloud, or similar marketing automation tools. Proven experience designing and implementing marketing automation workflows, lead scoring models, and segmentation strategies. Solid understanding of CRM data structures, lead generation funnels, and marketing performance metrics. Experience integrating CRM systems with other platforms and managing data flows across marketing technology stacks. Working knowledge of at least two programming or scripting languages such as Python, JavaScript, SQL, or Velocity. Strong analytical mindset with the ability to interpret data and translate insights into actionable marketing strategies. Excellent understanding of modern marketing technology trends and automation best practices. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Proactive, experimental mindset with a strong focus on continuous improvement and measurable impact. Benefits Fully remote working environment with global collaboration across distributed teams. Competitive compensation package aligned with experience, skills, and location. Annual compensation review and performance-based rewards. Personal learning and development budget to support continuous growth. Annual leave entitlement and parental leave support. Employee assistance programs and wellbeing initiatives. Opportunities to travel and meet global teams at company events and sprints. Recognition programs and rewards for contributions and achievements. Inclusive, international culture focused on collaboration, learning, and excellence. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Marketing Automation Manager. Skills: Marketing automation, CRM, Lifecycle marketing, Segmentation. Design advanced lifecycle marketing journeys. Build advanced lifecycle marketing journeys", "postedDate" : "2026-06-12T04:46:34.994", "createdAt" : "2026-06-12T04:46:34.994", "lastUpdated" : "2026-06-15T23:13:35.502", "ingestTimestamp" : "2026-06-14T22:07:57.596", "mongoId" : "6a2cb21074d8ee00a09dfc6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Marketing automation", "CRM integration", "Data flow management", "Lead scoring", "Segmentation", "Performance metrics", "Leadership", "CRM", "Lifecycle marketing", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Marketing technology", "B2B marketing", "Technology marketing", "Marketing automation best practices", "CRM data structures", "Lead generation funnels", "Marketing performance metrics", "Marketing technology trends", "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "skillCount" : 25, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 750.07886, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb21074d8ee00a09dfc68", "title" : "Senior Marketing Automation Manager", "industry" : "Marketing", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Marketing Automation Manager in the Netherlands, adjusted for the technology industry and remote work." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T00:09:13.497", "fingerprint" : "f51c4f4627cccd6841db801f46b9a09b600b879c6480f0aedf1e3491bda91370", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/133e3144-d02b-495e-8347-685e96499f3f/apply", "externalId" : "133e3144-d02b-495e-8347-685e96499f3f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Marketo, HubSpot, Salesforce Marketing Cloud, Python, JavaScript, SQL, Velocity", "professionalSkills" : [ "Lifecycle marketing", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Marketing strategy" ], "hardSkillsList" : [ "Marketing automation", "CRM data structures", "Data flow management", "Scripting languages" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CRM data structures", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" } ], "majorSkills" : "Marketing automation, CRM, Lifecycle marketing, Data analysis", "majorSkillsList" : [ "Marketing automation", "CRM", "Lifecycle marketing", "Data analysis" ], "coreResponsibilities" : "Design advanced lifecycle marketing journeys, Build advanced lifecycle marketing journeys, Optimize advanced lifecycle marketing journeys, Develop scalable marketing automation workflows, Maintain scalable marketing automation workflows, Monitor CRM platform performance, Analyze CRM platform performance, Optimize CRM platform performance, Monitor marketing automation platform performance, Analyze marketing automation platform performance, Optimize marketing automation platform performance, Lead experimentation initiatives, Build lead scoring frameworks, Refine lead scoring frameworks, Build engagement frameworks, Refine engagement frameworks, Manage integrations between CRM systems, Manage integrations with external platforms, Manage automations between CRM systems, Manage automations with external platforms, Collaborate with cross-functional marketing teams, Collaborate with data teams, Implement scalable automation solutions, Leverage data insights, Leverage segmentation strategies, Improve personalization, Improve targeting, Improve campaign effectiveness, Stay up to date with marketing technology trends, Continuously improve automation capabilities, Continuously improve automation processes", "teamCollaboration" : "Cross-functional marketing teams; Data teams; Technical teams; Non-technical teams", "domainKnowledge" : "B2B marketing; Technology marketing; Marketing automation best practices; CRM data structures; Lead generation funnels; Marketing performance metrics; Marketing technology stacks", "domainList" : [ "b2b-marketing", "technology-marketing", "marketing-automation-best-practices", "crm-data-structures", "lead-generation-funnels", "marketing-performance-metrics", "marketing-technology-stacks" ], "domainSpecificKnowledge" : [ "B2B marketing", "Technology marketing", "Marketing automation best practices", "CRM data structures", "Lead generation funnels", "Marketing performance metrics", "Marketing technology stacks" ], "toolProficiency" : [ "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "communicationSkills" : "Collaboration", "continuousLearning" : "Personal learning and development budget", "innovationCreativity" : "Experimental mindset", "problemSolvingSkills" : "Analytical mindset; Data interpretation", "outcomesObjectives" : "Improve engagement; Improve conversion; Support lead generation; Support nurturing initiatives; Support customer lifecycle initiatives; Ensure system health; Ensure operational efficiency; Improve marketing outcomes; Align lead scoring with business growth; Align lead nurturing with business growth; Align engagement frameworks with business growth; Ensure seamless data flow; Ensure seamless campaign execution; Support broader marketing strategies; Improve personalization; Improve targeting; Improve campaign effectiveness", "qualificationsBasic" : "Extensive experience in marketing automation, CRM operations experience, Lifecycle marketing experience, B2B or technology-driven environment experience, Hands-on expertise with Marketo, HubSpot, Salesforce Marketing Cloud, or similar, Proven experience designing and implementing marketing automation workflows, Proven experience designing and implementing lead scoring models, Proven experience designing and implementing segmentation strategies, Solid understanding of CRM data structures, Solid understanding of lead generation funnels, Solid understanding of marketing performance metrics, Experience integrating CRM systems with other platforms, Experience managing data flows across marketing technology stacks, Working knowledge of at least two programming or scripting languages, Analytical mindset, Excellent understanding of modern marketing technology trends, Excellent understanding of automation best practices, Communication skills, Proactive, experimental mindset", "qualificationsPreferred" : "Python experience, JavaScript experience, SQL experience, Velocity experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and optimize advanced lifecycle marketing journeys across email and multi-channel CRM environments to improve engagement and conversion. Develop and maintain scalable marketing automation workflows that support lead generation, nurturing, and customer lifecycle initiatives. Monitor, analyze, and optimize CRM and marketing automation platform performance, ensuring system health and operational efficiency. Lead experimentation initiatives across segmentation, targeting, messaging, and conversion optimization to improve marketing outcomes. Build and refine lead scoring, lead nurturing, and engagement frameworks aligned with business growth objectives. Manage integrations and automations between CRM systems and external platforms to ensure seamless data flow and campaign execution. Collaborate with cross-functional marketing and data teams to implement scalable automation solutions that support broader marketing strategies. Leverage data insights and segmentation strategies to improve personalization, targeting, and campaign effectiveness. Stay up to date with emerging marketing technology trends and continuously improve automation capabilities and processes. Requirements Extensive experience in marketing automation, CRM operations, or lifecycle marketing roles in a B2B or technology-driven environment. Strong hands-on expertise with platforms such as Marketo, HubSpot, Salesforce Marketing Cloud, or similar marketing automation tools. Proven experience designing and implementing marketing automation workflows, lead scoring models, and segmentation strategies. Solid understanding of CRM data structures, lead generation funnels, and marketing performance metrics. Experience integrating CRM systems with other platforms and managing data flows across marketing technology stacks. Working knowledge of at least two programming or scripting languages such as Python, JavaScript, SQL, or Velocity. Strong analytical mindset with the ability to interpret data and translate insights into actionable marketing strategies. Excellent understanding of modern marketing technology trends and automation best practices. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Proactive, experimental mindset with a strong focus on continuous improvement and measurable impact. Benefits Fully remote working environment with global collaboration across distributed teams. Competitive compensation package aligned with experience, skills, and location. Annual compensation review and performance-based rewards. Personal learning and development budget to support continuous growth. Annual leave entitlement and parental leave support. Employee assistance programs and wellbeing initiatives. Opportunities to travel and meet global teams at company events and sprints. Recognition programs and rewards for contributions and achievements. Inclusive, international culture focused on collaboration, learning, and excellence. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Marketing Automation Manager. Skills: Marketing automation, CRM, Lifecycle marketing, Data analysis. Design advanced lifecycle marketing journeys. Build advanced lifecycle marketing journeys", "postedDate" : "2026-06-12T04:47:09.405", "createdAt" : "2026-06-12T04:47:09.405", "lastUpdated" : "2026-06-16T00:09:13.497", "ingestTimestamp" : "2026-06-14T22:14:26.121", "mongoId" : "6a2cb21074d8ee00a09dfc68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Marketing automation", "CRM data structures", "Data flow management", "Scripting languages", "CRM", "Lifecycle marketing", "Data analysis", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Marketing strategy", "B2B marketing", "Technology marketing", "Marketing automation best practices", "Lead generation funnels", "Marketing performance metrics", "Marketing technology stacks", "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 747.6959, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb21074d8ee00a09dfc6a", "title" : "Senior Marketing Automation Manager", "industry" : "Marketing", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Marketing Automation Manager in Ireland, adjusted for the technology industry and remote work." }, "location" : "Ireland", "locations" : [ "Ireland" ], "timestamp" : "2026-06-15T22:47:09.084", "fingerprint" : "7b6436d00d38e7985fd08ef533db16b150af2995079a5955b271e578e84cd1f0", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/5713cc8f-5f64-4f79-9baf-3e0b491f1415/apply", "externalId" : "5713cc8f-5f64-4f79-9baf-3e0b491f1415", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Marketo, HubSpot, Salesforce Marketing Cloud, Python, JavaScript, SQL, Velocity", "professionalSkills" : [ "Lifecycle marketing", "Lead generation", "Lead nurturing", "Segmentation strategies", "Conversion optimization", "Lead scoring", "Data insights", "Personalization" ], "hardSkillsList" : [ "Marketing automation", "CRM operations", "Workflow design", "Data flow management", "Performance metrics analysis" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CRM operations", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Performance metrics analysis", "level" : "intermediate" } ], "majorSkills" : "Marketing automation, CRM, Lifecycle marketing, Workflow optimization", "majorSkillsList" : [ "Marketing automation", "CRM", "Lifecycle marketing", "Workflow optimization" ], "coreResponsibilities" : "Design advanced lifecycle marketing journeys, Build advanced lifecycle marketing journeys, Optimize advanced lifecycle marketing journeys, Develop scalable marketing automation workflows, Maintain scalable marketing automation workflows, Monitor platform performance, Analyze platform performance, Optimize platform performance, Lead experimentation initiatives, Build lead scoring frameworks, Refine lead scoring frameworks, Build engagement frameworks, Refine engagement frameworks, Manage integrations between CRM systems, Manage automations between CRM systems, Leverage data insights, Improve personalization, Improve targeting, Improve campaign effectiveness, Stay up to date with trends, Continuously improve automation capabilities, Continuously improve automation processes", "teamCollaboration" : "Cross-functional marketing teams; Data teams", "domainKnowledge" : "B2B marketing; Technology marketing; Marketing technology; CRM data structures; Lead generation funnels; Marketing performance metrics; Marketing technology stacks", "domainList" : [ "b2b-marketing", "technology-marketing", "marketing-technology", "crm-data-structures", "lead-generation-funnels", "marketing-performance-metrics", "marketing-technology-stacks" ], "domainSpecificKnowledge" : [ "B2B marketing", "Technology marketing", "Marketing technology", "CRM data structures", "Lead generation funnels", "Marketing performance metrics", "Marketing technology stacks" ], "toolProficiency" : [ "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "communicationSkills" : "Collaboration across teams", "continuousLearning" : "Personal learning budget; Development budget", "innovationCreativity" : "Experimental mindset", "problemSolvingSkills" : "Data interpretation; Actionable strategies", "outcomesObjectives" : "Improve engagement; Improve conversion; Support lead generation; Support nurturing; Support customer lifecycle; Ensure system health; Ensure operational efficiency; Improve marketing outcomes; Align frameworks with growth objectives; Ensure seamless data flow; Support campaign execution; Support broader marketing strategies", "qualificationsBasic" : "Extensive experience in marketing automation, Extensive experience in CRM operations, Extensive experience in lifecycle marketing, B2B or technology-driven environment experience, Hands-on expertise with Marketo, Hands-on expertise with HubSpot, Hands-on expertise with Salesforce Marketing Cloud, Hands-on expertise with similar marketing automation tools, Proven experience designing marketing automation workflows, Proven experience implementing marketing automation workflows, Proven experience designing lead scoring models, Proven experience implementing lead scoring models, Proven experience designing segmentation strategies, Proven experience implementing segmentation strategies, Solid understanding of CRM data structures, Solid understanding of lead generation funnels, Solid understanding of marketing performance metrics, Experience integrating CRM systems, Experience managing data flows, Working knowledge of Python, Working knowledge of JavaScript, Working knowledge of SQL, Working knowledge of Velocity, Analytical mindset, Excellent understanding of modern marketing technology trends, Excellent understanding of automation best practices, Communication skills, Proactive, experimental mindset", "qualificationsPreferred" : "Experience with two programming or scripting languages", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and optimize advanced lifecycle marketing journeys across email and multi-channel CRM environments to improve engagement and conversion. Develop and maintain scalable marketing automation workflows that support lead generation, nurturing, and customer lifecycle initiatives. Monitor, analyze, and optimize CRM and marketing automation platform performance, ensuring system health and operational efficiency. Lead experimentation initiatives across segmentation, targeting, messaging, and conversion optimization to improve marketing outcomes. Build and refine lead scoring, lead nurturing, and engagement frameworks aligned with business growth objectives. Manage integrations and automations between CRM systems and external platforms to ensure seamless data flow and campaign execution. Collaborate with cross-functional marketing and data teams to implement scalable automation solutions that support broader marketing strategies. Leverage data insights and segmentation strategies to improve personalization, targeting, and campaign effectiveness. Stay up to date with emerging marketing technology trends and continuously improve automation capabilities and processes. Requirements Extensive experience in marketing automation, CRM operations, or lifecycle marketing roles in a B2B or technology-driven environment. Strong hands-on expertise with platforms such as Marketo, HubSpot, Salesforce Marketing Cloud, or similar marketing automation tools. Proven experience designing and implementing marketing automation workflows, lead scoring models, and segmentation strategies. Solid understanding of CRM data structures, lead generation funnels, and marketing performance metrics. Experience integrating CRM systems with other platforms and managing data flows across marketing technology stacks. Working knowledge of at least two programming or scripting languages such as Python, JavaScript, SQL, or Velocity. Strong analytical mindset with the ability to interpret data and translate insights into actionable marketing strategies. Excellent understanding of modern marketing technology trends and automation best practices. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Proactive, experimental mindset with a strong focus on continuous improvement and measurable impact. Benefits Fully remote working environment with global collaboration across distributed teams. Competitive compensation package aligned with experience, skills, and location. Annual compensation review and performance-based rewards. Personal learning and development budget to support continuous growth. Annual leave entitlement and parental leave support. Employee assistance programs and wellbeing initiatives. Opportunities to travel and meet global teams at company events and sprints. Recognition programs and rewards for contributions and achievements. Inclusive, international culture focused on collaboration, learning, and excellence. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Marketing Automation Manager. Skills: Marketing automation, CRM, Lifecycle marketing, Workflow optimization. Design advanced lifecycle marketing journeys. Build advanced lifecycle marketing journeys", "postedDate" : "2026-06-12T04:46:49.216", "createdAt" : "2026-06-12T04:46:49.216", "lastUpdated" : "2026-06-15T22:47:09.084", "ingestTimestamp" : "2026-06-14T22:05:11.628", "mongoId" : "6a2cb21074d8ee00a09dfc6a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Marketing automation", "CRM operations", "Workflow design", "Data flow management", "Performance metrics analysis", "CRM", "Lifecycle marketing", "Workflow optimization", "Lead generation", "Lead nurturing", "Segmentation strategies", "Conversion optimization", "Lead scoring", "Data insights", "Personalization", "B2B marketing", "Technology marketing", "Marketing technology", "CRM data structures", "Lead generation funnels", "Marketing performance metrics", "Marketing technology stacks", "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "skillCount" : 25, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 747.6845, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb21074d8ee00a09dfc6c", "title" : "Senior Marketing Automation Manager", "industry" : "Marketing", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the UK market baseline for a Senior Marketing Automation Manager in the Technology industry, adjusted for seniority and remote work." }, "location" : "UK", "locations" : [ "UK" ], "timestamp" : "2026-06-16T00:04:26.988", "fingerprint" : "527aea7a1ba91a1f40396c6c41a653b33f059f3783b022e92a7d720aac70afd4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/b35d7326-4ab5-4f48-a157-0b0968081e68/apply", "externalId" : "b35d7326-4ab5-4f48-a157-0b0968081e68", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Marketo, HubSpot, Salesforce Marketing Cloud, Python, JavaScript, SQL, Velocity", "professionalSkills" : [ "Lifecycle marketing", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Campaign execution" ], "hardSkillsList" : [ "Marketing automation", "CRM operations", "Workflow design", "Lead scoring", "Data integration", "Performance metrics" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CRM operations", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Lead scoring", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "majorSkills" : "Marketing automation, CRM, Lifecycle marketing, Growth metrics", "majorSkillsList" : [ "Marketing automation", "CRM", "Lifecycle marketing", "Growth metrics" ], "coreResponsibilities" : "Design advanced lifecycle marketing journeys, Build advanced lifecycle marketing journeys, Optimize advanced lifecycle marketing journeys, Develop scalable marketing automation workflows, Maintain scalable marketing automation workflows, Monitor platform performance, Analyze platform performance, Optimize platform performance, Lead experimentation initiatives, Build lead scoring frameworks, Refine lead scoring frameworks, Build engagement frameworks, Refine engagement frameworks, Manage integrations between CRM systems, Manage automations between CRM systems, Leverage data insights, Improve personalization, Improve targeting, Improve campaign effectiveness, Stay up to date with trends, Improve automation capabilities, Improve automation processes", "teamCollaboration" : "Cross-functional marketing teams; Data teams", "domainKnowledge" : "B2B marketing; Technology marketing; Lead generation funnels; Marketing technology stacks", "domainList" : [ "b2b-marketing", "technology-marketing", "lead-generation-funnels", "marketing-technology-stacks" ], "domainSpecificKnowledge" : [ "B2B marketing", "Technology marketing", "Lead generation funnels", "Marketing technology stacks" ], "toolProficiency" : [ "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "continuousLearning" : "Personal learning and development budget", "innovationCreativity" : "Experimental mindset", "problemSolvingSkills" : "Analytical mindset; Data interpretation", "outcomesObjectives" : "Improve engagement; Improve conversion; Support lead generation; Support nurturing; Support customer lifecycle; Ensure system health; Ensure operational efficiency; Improve marketing outcomes; Align frameworks with growth objectives; Ensure seamless data flow; Ensure campaign execution", "qualificationsBasic" : "Extensive experience in marketing automation, Extensive experience in CRM operations, Extensive experience in lifecycle marketing, B2B or technology-driven environment experience, Hands-on expertise with Marketo, Hands-on expertise with HubSpot, Hands-on expertise with Salesforce Marketing Cloud, Hands-on expertise with similar marketing automation tools, Proven experience designing marketing automation workflows, Proven experience implementing marketing automation workflows, Proven experience designing lead scoring models, Proven experience implementing lead scoring models, Proven experience designing segmentation strategies, Proven experience implementing segmentation strategies, Solid understanding of CRM data structures, Solid understanding of lead generation funnels, Solid understanding of marketing performance metrics, Experience integrating CRM systems, Experience managing data flows, Working knowledge of Python, Working knowledge of JavaScript, Working knowledge of SQL, Working knowledge of Velocity, Analytical mindset, Excellent understanding of modern marketing technology trends, Excellent understanding of automation best practices, Communication skills, Proactive, experimental mindset", "qualificationsPreferred" : "Experience with Kubernetes and container orchestration platforms a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and optimize advanced lifecycle marketing journeys across email and multi-channel CRM environments to improve engagement and conversion. Develop and maintain scalable marketing automation workflows that support lead generation, nurturing, and customer lifecycle initiatives. Monitor, analyze, and optimize CRM and marketing automation platform performance, ensuring system health and operational efficiency. Lead experimentation initiatives across segmentation, targeting, messaging, and conversion optimization to improve marketing outcomes. Build and refine lead scoring, lead nurturing, and engagement frameworks aligned with business growth objectives. Manage integrations and automations between CRM systems and external platforms to ensure seamless data flow and campaign execution. Collaborate with cross-functional marketing and data teams to implement scalable automation solutions that support broader marketing strategies. Leverage data insights and segmentation strategies to improve personalization, targeting, and campaign effectiveness. Stay up to date with emerging marketing technology trends and continuously improve automation capabilities and processes. Requirements Extensive experience in marketing automation, CRM operations, or lifecycle marketing roles in a B2B or technology-driven environment. Strong hands-on expertise with platforms such as Marketo, HubSpot, Salesforce Marketing Cloud, or similar marketing automation tools. Proven experience designing and implementing marketing automation workflows, lead scoring models, and segmentation strategies. Solid understanding of CRM data structures, lead generation funnels, and marketing performance metrics. Experience integrating CRM systems with other platforms and managing data flows across marketing technology stacks. Working knowledge of at least two programming or scripting languages such as Python, JavaScript, SQL, or Velocity. Strong analytical mindset with the ability to interpret data and translate insights into actionable marketing strategies. Excellent understanding of modern marketing technology trends and automation best practices. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Proactive, experimental mindset with a strong focus on continuous improvement and measurable impact. Benefits Fully remote working environment with global collaboration across distributed teams. Competitive compensation package aligned with experience, skills, and location. Annual compensation review and performance-based rewards. Personal learning and development budget to support continuous growth. Annual leave entitlement and parental leave support. Employee assistance programs and wellbeing initiatives. Opportunities to travel and meet global teams at company events and sprints. Recognition programs and rewards for contributions and achievements. Inclusive, international culture focused on collaboration, learning, and excellence. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Marketing Automation Manager. Skills: Marketing automation, CRM, Lifecycle marketing, Growth metrics. Design advanced lifecycle marketing journeys. Build advanced lifecycle marketing journeys", "postedDate" : "2026-06-12T04:45:51.234", "createdAt" : "2026-06-12T04:45:51.234", "lastUpdated" : "2026-06-16T00:04:26.988", "ingestTimestamp" : "2026-06-14T22:13:36.737", "mongoId" : "6a2cb21074d8ee00a09dfc6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Marketing automation", "CRM operations", "Workflow design", "Lead scoring", "Data integration", "Performance metrics", "CRM", "Lifecycle marketing", "Growth metrics", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Campaign execution", "B2B marketing", "Technology marketing", "Lead generation funnels", "Marketing technology stacks", "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 747.6518, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb21074d8ee00a09dfc6b", "title" : "Senior Marketing Automation Manager", "industry" : "Marketing", "salary" : { "min" : 72000.0, "max" : 98000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Germany, adjusted for Seniority, and Technology industry." }, "location" : "Germany", "locations" : [ "Germany" ], "timestamp" : "2026-06-15T23:44:12.802", "fingerprint" : "dc2efa0d8c186ef65a1a5d329f6baf63334f9fdc109f01a8141c075546e99207", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/779531ee-4fc3-4110-9527-074138aeb39b/apply", "externalId" : "779531ee-4fc3-4110-9527-074138aeb39b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Marketo, HubSpot, Salesforce Marketing Cloud, Python, JavaScript, SQL, Velocity", "professionalSkills" : [ "Lifecycle marketing", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Data interpretation", "Marketing technology" ], "hardSkillsList" : [ "Marketing automation", "CRM management", "Workflow design", "Lead scoring", "Segmentation", "Data integration", "Data flow management", "Programming", "Scripting" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CRM management", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Lead scoring", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "majorSkills" : "Marketing automation, CRM, Lifecycle marketing, Workflow optimization", "majorSkillsList" : [ "Marketing automation", "CRM", "Lifecycle marketing", "Workflow optimization" ], "coreResponsibilities" : "Design advanced lifecycle marketing journeys, Build advanced lifecycle marketing journeys, Optimize advanced lifecycle marketing journeys, Develop scalable marketing automation workflows, Maintain scalable marketing automation workflows, Monitor CRM platform performance, Analyze CRM platform performance, Optimize CRM platform performance, Monitor marketing automation platform performance, Analyze marketing automation platform performance, Optimize marketing automation platform performance, Lead experimentation initiatives, Build lead scoring frameworks, Refine lead scoring frameworks, Build lead nurturing frameworks, Refine lead nurturing frameworks, Build engagement frameworks, Refine engagement frameworks, Manage integrations between CRM systems, Manage automations between CRM systems, Manage integrations with external platforms, Manage automations with external platforms, Leverage data insights, Leverage segmentation strategies, Improve personalization, Improve targeting, Improve campaign effectiveness, Stay up to date with trends, Continuously improve automation capabilities, Continuously improve automation processes", "teamCollaboration" : "Cross-functional marketing teams; Cross-functional data teams; Technical teams; Non-technical teams", "domainKnowledge" : "B2B environment; Technology-driven environment; CRM data structures; Lead generation funnels; Marketing performance metrics; Marketing technology stacks; Marketing technology trends; Automation best practices", "domainList" : [ "b2b-environment", "technology-driven-environment", "crm-data-structures", "lead-generation-funnels", "marketing-performance-metrics", "marketing-technology-stacks", "marketing-technology-trends", "automation-best-practices" ], "domainSpecificKnowledge" : [ "B2B environment", "Technology-driven environment", "CRM data structures", "Lead generation funnels", "Marketing performance metrics", "Marketing technology stacks", "Marketing technology trends", "Automation best practices" ], "toolProficiency" : [ "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "continuousLearning" : "Personal learning and development budget", "innovationCreativity" : "Experimental mindset", "problemSolvingSkills" : "Data interpretation; Translate insights into strategies", "outcomesObjectives" : "Improve engagement; Improve conversion; Support lead generation; Support nurturing initiatives; Support customer lifecycle initiatives; Ensure system health; Ensure operational efficiency; Improve marketing outcomes; Align frameworks with business growth objectives; Ensure seamless data flow; Ensure campaign execution; Support broader marketing strategies; Improve personalization; Improve targeting; Improve campaign effectiveness", "qualificationsBasic" : "Extensive experience in marketing automation, CRM operations, or lifecycle marketing, Hands-on expertise with Marketo, HubSpot, Salesforce Marketing Cloud, or similar, Proven experience designing and implementing marketing automation workflows, Proven experience designing lead scoring models, Proven experience designing segmentation strategies, Solid understanding of CRM data structures, Solid understanding of lead generation funnels, Solid understanding of marketing performance metrics, Experience integrating CRM systems with other platforms, Experience managing data flows across marketing technology stacks, Working knowledge of at least two programming or scripting languages, Analytical mindset with ability to interpret data, Ability to translate insights into actionable marketing strategies, Excellent understanding of modern marketing technology trends, Excellent understanding of automation best practices, Communication skills with ability to collaborate effectively, Proactive, experimental mindset with focus on continuous improvement, Proactive, experimental mindset with focus on measurable impact", "qualificationsPreferred" : "Python, JavaScript, SQL, Velocity", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and optimize advanced lifecycle marketing journeys across email and multi-channel CRM environments to improve engagement and conversion. Develop and maintain scalable marketing automation workflows that support lead generation, nurturing, and customer lifecycle initiatives. Monitor, analyze, and optimize CRM and marketing automation platform performance, ensuring system health and operational efficiency. Lead experimentation initiatives across segmentation, targeting, messaging, and conversion optimization to improve marketing outcomes. Build and refine lead scoring, lead nurturing, and engagement frameworks aligned with business growth objectives. Manage integrations and automations between CRM systems and external platforms to ensure seamless data flow and campaign execution. Collaborate with cross-functional marketing and data teams to implement scalable automation solutions that support broader marketing strategies. Leverage data insights and segmentation strategies to improve personalization, targeting, and campaign effectiveness. Stay up to date with emerging marketing technology trends and continuously improve automation capabilities and processes. Requirements Extensive experience in marketing automation, CRM operations, or lifecycle marketing roles in a B2B or technology-driven environment. Strong hands-on expertise with platforms such as Marketo, HubSpot, Salesforce Marketing Cloud, or similar marketing automation tools. Proven experience designing and implementing marketing automation workflows, lead scoring models, and segmentation strategies. Solid understanding of CRM data structures, lead generation funnels, and marketing performance metrics. Experience integrating CRM systems with other platforms and managing data flows across marketing technology stacks. Working knowledge of at least two programming or scripting languages such as Python, JavaScript, SQL, or Velocity. Strong analytical mindset with the ability to interpret data and translate insights into actionable marketing strategies. Excellent understanding of modern marketing technology trends and automation best practices. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Proactive, experimental mindset with a strong focus on continuous improvement and measurable impact. Benefits Fully remote working environment with global collaboration across distributed teams. Competitive compensation package aligned with experience, skills, and location. Annual compensation review and performance-based rewards. Personal learning and development budget to support continuous growth. Annual leave entitlement and parental leave support. Employee assistance programs and wellbeing initiatives. Opportunities to travel and meet global teams at company events and sprints. Recognition programs and rewards for contributions and achievements. Inclusive, international culture focused on collaboration, learning, and excellence. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Marketing Automation Manager. Skills: Marketing automation, CRM, Lifecycle marketing, Workflow optimization. Design advanced lifecycle marketing journeys. Build advanced lifecycle marketing journeys", "postedDate" : "2026-06-12T04:26:40.118", "createdAt" : "2026-06-12T04:26:40.118", "lastUpdated" : "2026-06-15T23:44:12.802", "ingestTimestamp" : "2026-06-14T22:11:47.525", "mongoId" : "6a2cb21074d8ee00a09dfc6b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Marketing automation", "CRM management", "Workflow design", "Lead scoring", "Segmentation", "Data integration", "Data flow management", "Programming", "Scripting", "CRM", "Lifecycle marketing", "Workflow optimization", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Data interpretation", "Marketing technology", "B2B environment", "Technology-driven environment", "CRM data structures", "Lead generation funnels", "Marketing performance metrics", "Marketing technology stacks", "Marketing technology trends", "Automation best practices", "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "skillCount" : 30, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 747.00116, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a914e74d8ee00a068dc40", "title" : "Analytics Manager, Marketing Analytics", "company" : "Wolt", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics Manager in E-Commerce in Berlin, Germany, adjusted for manager seniority and full-time employment." }, "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany", "Helsinki", "Finland", "London", "United Kingdom", "Stockholm", "Sweden" ], "timestamp" : "2026-06-14T22:11:03.932", "fingerprint" : "b448fe58cd4818db8868d043fcdf0ee24ec1114838113d97237114c76145e29f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wolt/jobs/7992265", "externalId" : "7992265", "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "city" : "Helsinki", "country" : "Finland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "60.1666204,24.9435408" }, { "city" : "Stockholm", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.3251172,18.0710935" }, { "country" : "Germany", "continent" : "eu", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "country" : "Finland", "continent" : "eu", "workMode" : "remote" }, { "country" : "Sweden", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Berlin, Germany; London, United Kingdom; Helsinki, Finland; Stockholm, Sweden; Germany; United Kingdom; Finland; Sweden", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Marketing strategies", "Business partnership", "Project management" ], "hardSkillsList" : [ "Data Analytics", "Data Science", "Statistical analysis", "Marketing analytics", "Measurement concepts" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data Analytics", "level" : "intermediate" }, { "name" : "Data Science", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Measurement concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Data science, Leadership", "majorSkillsList" : [ "Marketing analytics", "Data science", "Leadership" ], "coreResponsibilities" : "Define analytics roadmap, Prioritize business questions, Ensure work leads to clear decisions, Shape the future of initiatives, Define key performance indicators, Monitor key performance indicators, Brainstorm growth investment opportunities, Establish marketing investment framework, Lead team of Data Scientists, Coach team of Data Scientists, Develop team of Data Scientists, Improve marketing decisions, Improve marketing outcomes", "teamCollaboration" : "Cross-functional teams; Senior business leaders; Product leaders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Marketing analytics; Experimentation; Attribution; Media mix modeling; Marketing measurement", "domainList" : [ "marketing-analytics", "experimentation", "attribution", "media-mix-modeling", "marketing-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Experimentation", "Attribution", "Media mix modeling", "Marketing measurement" ], "communicationSkills" : "Clear communication; Business partnership", "innovationCreativity" : "0-to-1 growth investment opportunities", "problemSolvingSkills" : "Analytical work", "outcomesObjectives" : "Turn analytical work into decisions; Turn analytical work into actions; Turn analytical work into measurable impact", "qualificationsBasic" : "6+ years of experience in Data Analytics or Data Science, 2+ years of leadership experience, Experience in leading large teams, Expertise with SQL, Statistical analysis using Python, R, or equivalent, Understanding of experimentation, Understanding of attribution, Understanding of media mix modeling, Understanding of marketing measurement concepts, Clear communication skills, Business partnership skills", "qualificationsPreferred" : "Experience in hiring and mentoring skilled members for data science teams, Pragmatic approach to applying marketing measurement concepts to business decisions", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We’re looking for an experienced Analytics Manager to join Wolt in Berlin, Stockholm, Helsinki, or London! About the Marketing Analytics team In the Marketing Analytics team, we are focused on improving the effectiveness of our marketing spend and boosting Wolt’s growth. We work across a broad set of marketing questions, helping teams understand what is working, where to invest, and how to improve marketing performance across Wolt. We partner with Marketing, Product, and Strategy & Operations teams closely to guide measurement and tactical decision-making using advanced analytics. Considering the scale of Wolt’s marketing function, there are many exciting problems to be solved and plenty of opportunities to make a business impact! You’ll be part of this team working with top Data Science and Analytics Engineering professionals. As we grow the next level of maturity in Marketing Analytics, you’ll help shape the roadmap, develop the team, and build the operating rhythm that turns analysis into better business decisions. What you’ll be doing As an Analytics Manager at Wolt, you are essential in revolutionizing our marketing strategies. You’ll define the analytics roadmap for the team, prioritize the most important business questions, and ensure the work leads to clear decisions and follow-through. Acting as a critical partner to senior business and product leaders, this role will drive the Marketing domain forward, shaping the future of our initiatives. Key responsibilities include defining and monitoring key performance indicators to gauge the effectiveness of innovative marketing initiatives. The role offers an exciting opportunity to brainstorm 0-to-1 growth investment opportunities and establish the foundation for our marketing investment framework. You’ll lead, coach, and develop a team of Data Scientists, helping them stay close to the business and deliver work that improves marketing decisions and outcomes. Success in this role requires exceptional leadership and project management skills, along with strong communication and interpersonal abilities. Collaborating effectively with cross-functional teams will be crucial in fostering a culture of shared success and innovation. This position offers a thrilling opportunity to shape the future of growth at Wolt! Our humble expectations 6+ years of experience in a Data Analytics or Data Science position, with 2+ years of leadership experience. Experience in leading large teams (5-10 direct reports) Prior experience in hiring and mentoring skilled members for your data science teams. Expertise with SQL and statistical analysis using Python, R, or equivalent. Strong understanding of experimentation, attribution, media mix modeling, and marketing measurement concepts, with a pragmatic approach to applying them to business decisions. Clear communication and strong business partnership skills, with a track record of turning analytical work into decisions, actions, and measurable impact. What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics! You can choose the location from our tech hubs in Berlin, London, Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Germany, the UK, Finland or Sweden. \uD83D\uDC99 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.", "summaryDescription" : "Analytics Manager, Marketing Analytics at Wolt. Skills: Marketing analytics, Data science, Leadership. Define analytics roadmap. 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Co-present to stakeholders; Handover to data engineering", "domainKnowledge" : "Customer analytics; Value analytics; Supply chain; Demand planning; Operational performance; Industrial settings; Private equity", "domainList" : [ "customer-analytics", "value-analytics", "supply-chain", "demand-planning", "operational-performance", "industrial-settings", "private-equity" ], "domainSpecificKnowledge" : [ "Customer analytics", "Value analytics", "Supply chain", "Demand planning", "Operational performance", "Industrial settings", "Private equity" ], "toolProficiency" : [ "Databricks", "N8N" ], "communicationSkills" : "Present findings; Executive-ready findings", "documentationSkills" : "Well-documented code", "continuousLearning" : "Explore new methods; Bring in new methods; Explore AI techniques; Bring in AI techniques; Explore GenAI techniques; Bring in GenAI techniques", "problemSolvingSkills" : "Answer strategic questions; Solve advanced-analytics questions", "outcomesObjectives" : "Create measurable impact; Drive transformation", "qualificationsBasic" : "3 to 6 years of experience, Python proficiency, SQL proficiency, Experience processing data at scale, Solid applied machine learning, Solid applied statistics", "qualificationsPreferred" : "PhD preferred, Experience in consulting, Experience in private equity, Experience in client-facing environments, Experience building AI agents, Experience using AI agents, Experience using GenAI workflows, Interest in broader advanced analytics, Experience in transformation projects, Fluency in French", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "### Who We Are Singulier is a strategy and transformation consulting firm working with private equity funds and their portfolio companies on high-impact digital, data and AI topics. We help investment funds, CEOs and leadership teams answer critical strategic questions and drive transformation with a pragmatic, hands-on approach. Unlike traditional consulting firms, we do not stop at recommendations: we work alongside our clients to design, build and implement solutions that create measurable impact. Founded in 2017, Singulier has grown rapidly and now brings together ~80 professionals across Paris, London and Munich, combining expertise in strategy consulting, data, digital marketing, product and technology. ### The Role At Singulier, our Senior Data Scientists / Analysts turn complex data into the models that underpin our clients’ strategic decisions. You are the technical owner of advanced analytics on our engagements — designing, building and validating the models, and making their results legible to senior, non-technical audiences, including C-level executives and PE operating partners. Customer and value analytics is the core of what we do, but the role is not limited to it: you will also tackle broader advanced-analytics questions, for example supply chain, demand planning and operational performance, including in industrial settings. You work hand in hand with our consultants: they frame the business question, you bring the methodological depth to answer it rigorously. You care as much about the robustness of a model as about whether its output actually changes a decision — we value pragmatic, business-oriented work over purely academic or research-focused approaches. ### What You’ll Do * Design, build and validate advanced models — customer & value segmentation, propensity and churn scoring, uplift, LTV and pricing, as well as demand forecasting, supply chain and operational optimization * Own the analytical methodology on engagements and guarantee statistical robustness * Dive into raw client data: explore large, complex and sometimes messy datasets to understand how to extract value from the data * Work hands-on with data: conduct data transformation, feature engineering and modelling in Python and SQL to build analytics-ready datasets * Translate model outputs into clear, executive-ready findings and co-present to C-level stakeholders and investment funds * Build and orchestrate AI agents to automate and scale recurring, repeatable analyses * Write clean, reusable, well-documented code and contribute to the practice’s analytical toolkits and standardised analyses * Prepare models and specifications for industrialisation, in handover to our Graphite data engineering team * Act as the data science referent of the practice, supporting and upskilling consultants and analysts * Explore and bring in new methods and AI / GenAI techniques where they add real value ### Our Stack We like experimenting with new technologies, but our core stack currently includes: \uD83E\uDDF0 Databricks (Python / Pyspark) \uD83C\uDF10 Google Cloud Platform ✨ N8N for AI agent workflows **Requirements** ### Who You Are You are a data scientist or data analyst who combines genuine methodological depth with the ability to operate in a fast-paced consulting environment and engage senior business stakeholders. You are pragmatic and business-oriented: you optimise for decisions made, not for model complexity. You likely have: * a degree from a top-tier engineering, data science or statistics school — e.g. Polytechnique, ENSAE, CentraleSupélec, Mines or Télécom in France (or a leading business school with a strong quantitative/data specialization), or an equivalent top international institution (Imperial, ETH/EPFL, MIT, Oxford/Cambridge, etc.) * around 3 to 6 years of experience in data science or advanced analytics, ideally with part of it in consulting, private equity or client-facing environments * strong command of Python and SQL, and experience processing data at scale (Pyspark / Databricks) * solid applied machine learning and statistics (segmentation/clustering, scoring, uplift, forecasting, optimization) * some experience building or using AI agents / GenAI workflows to automate analytical tasks (or a strong interest in doing so) * the ability to synthesize and present technical work to non-technical, senior audiences * fluency in English; French strongly preferred Most of our work is customer-led, but a genuine interest in broader advanced analytics (operations, supply chain, demand planning) is a real plus, as is experience in private equity environments or transformation projects. **Benefits** ### Why Join Singulier * Own the modelling behind high-stakes strategic decisions, not isolated technical tickets * Work across a genuinely varied set of topics — from customer analytics to supply chain and operations * Combine deep data science with direct exposure to CEOs, investors and leadership teams — rare in pure analytics roles * Join a fast-growing, entrepreneurial firm and grow quickly in a high-responsibility environment * Shape the analytical methods and toolkits of a growing data practice ### Location Based in Paris with a hybrid working model (3–4 days/week in the office).", "summaryDescription" : "Senior Data Scientist - Advanced Analytics at Singulier. 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We tailor solutions across Audit, Tax, Financial Advisory Services, Enterprise Risk Services, and Consulting. Finance Transformation is Deloitte's leading finance consulting service, helping clients across the CFO spectrum operate, optimize, and transform their finance functions. We thrive on client impact and continuous innovation. The Reporting & Analytics team As a part of the Finance Transformation department, our overall purpose in the Reporting & Analytics team is to deliver value to our clients by being the bridge between finance and technology. This may include working with management reporting, process automation, data modeling and data visualization. We primarily work with four core tools: Excel & VBA, Power Apps & Power Automate, Power BI & Power Query and FinanceAI, but we are continuously exploring new tools and applications relevant to the market. Our team consists of passionate associate analysts and experienced consultants who will enable your development through close collaboration and mentorship. If you would like to be part of a multicultural team that values collaboration and continuous personal development, we believe we are a match for you. You will have the chance to shape your own path based on your strengths, preferences, and development opportunities. You will be assigned a personal Talent Manager, who will serve as your development coach. Exciting tasks await you As an associate analyst, you'll work on client-facing and internal projects - designing dashboards that drive decisions, automating processes, and building financial models. Through close collaboration with experienced consultants, you will see the real impact of your work and develop a portfolio of finance projects that will give you a strong foundation for your career. Your primary tasks will include: * Development of financial models and reporting applications * Optimization and automation of financial processes * Exploration of emerging technologies and their application to finance challenges We expect you to work approximately 20 hours per week but will of course adjust your tasks according to your studies and exams. ## Qualifications We are looking for people who have a genuine interest in finance and who are curious about tech, eager to explore the combination of the two. Your line of study and prior experience are not the most important factors. We are more interested in your problem-solving skills combined with a proactive, structured, and curious personality. You are also: * Either a first-year master's program student or a last-year bachelor's program student * Interested in learning (or already familiar with) our core tools (see above) * Interest in or basic understanding of financial concepts (P&L, balance sheets, cash flow, KPIs) * An excellent communicator in both oral and written English Programming experience is an advantage but not a requirement. Even if you do not see yourself in all the bullets above, we still encourage you to apply if you believe your skills can make an impact on our team. ## Additional Information To apply, click the \"I am interested\" button. Submit your cover letter, CV, and grade transcripts. We review applications on a rolling basis, so we encourage you to apply as soon as possible. Application deadline: 13.07.2026 Please do not hesitate to contact Simon Kianzad or Douglas Carneiro if you have any questions about the position. We encourage all candidates to apply for the position regardless of, e.g., age, gender (gender identity and gender expression), sexual orientation, religion, ethnicity, nationality, or disability. By applying for this job, you will be assessed against the Deloitte Global Talent Standards. We have designed these standards to provide a consistent and exceptional Deloitte employee experience globally. We look forward to connecting with you! In Deloitte, you will find passionate, caring people who are curious by nature and striving to evolve. We value our different skills, perspectives and experiences and foster an environment where innovative powers thrive. To us, success is the feeling that the work we are doing will outlast us. The impact we make is not about what we achieve as individuals, but how we enable those around us to be their very best. From professional development to leadership opportunities, we empower our people to be extraordinary by playing to their strengths – because that is how we can make a difference.", "summaryDescription" : "Student position within Reporting & Analytics at Deloitte. Skills: Reporting, Analytics, Finance transformation. Develop financial models. 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We tailor solutions across Audit, Tax, Financial Advisory Services, Enterprise Risk Services, and Consulting. Finance Transformation is Deloitte's leading finance consulting service, helping clients across the CFO spectrum operate, optimize, and transform their finance functions. We thrive on client impact and continuous innovation. The Reporting & Analytics team As a part of the Finance Transformation department, our overall purpose in the Reporting & Analytics team is to deliver value to our clients by being the bridge between finance and technology. This may include working with management reporting, process automation, data modeling and data visualization. We primarily work with four core tools: Excel & VBA, Power Apps & Power Automate, Power BI & Power Query and FinanceAI, but we are continuously exploring new tools and applications relevant to the market. Our team consists of passionate associate analysts and experienced consultants who will enable your development through close collaboration and mentorship. If you would like to be part of a multicultural team that values collaboration and continuous personal development, we believe we are a match for you. You will have the chance to shape your own path based on your strengths, preferences, and development opportunities. You will be assigned a personal Talent Manager, who will serve as your development coach. Exciting tasks await you As an associate analyst, you'll work on client-facing and internal projects - designing dashboards that drive decisions, automating processes, and building financial models. Through close collaboration with experienced consultants, you will see the real impact of your work and develop a portfolio of finance projects that will give you a strong foundation for your career. Your primary tasks will include: * Development of financial models and reporting applications * Optimization and automation of financial processes * Exploration of emerging technologies and their application to finance challenges We expect you to work approximately 20 hours per week but will of course adjust your tasks according to your studies and exams. ## Qualifications We are looking for people who have a genuine interest in finance and who are curious about tech, eager to explore the combination of the two. Your line of study and prior experience are not the most important factors. We are more interested in your problem-solving skills combined with a proactive, structured, and curious personality. You are also: * Either a first-year master's program student or a last-year bachelor's program student * Interested in learning (or already familiar with) our core tools (see above) * Interest in or basic understanding of financial concepts (P&L, balance sheets, cash flow, KPIs) * An excellent communicator in both oral and written English Programming experience is an advantage but not a requirement. Even if you do not see yourself in all the bullets above, we still encourage you to apply if you believe your skills can make an impact on our team. ## Additional Information To apply, click the \"I am interested\" button. Submit your cover letter, CV, and grade transcripts. We review applications on a rolling basis, so we encourage you to apply as soon as possible. Application deadline: 13.07.2026 Please do not hesitate to contact Simon Kianzad or Douglas Carneiro if you have any questions about the position. We encourage all candidates to apply for the position regardless of, e.g., age, gender (gender identity and gender expression), sexual orientation, religion, ethnicity, nationality, or disability. By applying for this job, you will be assessed against the Deloitte Global Talent Standards. We have designed these standards to provide a consistent and exceptional Deloitte employee experience globally. We look forward to connecting with you! In Deloitte, you will find passionate, caring people who are curious by nature and striving to evolve. We value our different skills, perspectives and experiences and foster an environment where innovative powers thrive. To us, success is the feeling that the work we are doing will outlast us. The impact we make is not about what we achieve as individuals, but how we enable those around us to be their very best. 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Partner with Customer Experience; Partner with Data Engineering; Partner with senior leadership; Partner with Product; Partner with Operations; Partner with Engineering; Client conversations; Client QBRs; Client escalations", "projectManagementSkills" : [ "Roadmap planning", "Dependency management" ], "domainKnowledge" : "Healthcare data; Claims processing; Value-based care; Population health; Machine learning models; Predictive analytics", "domainList" : [ "healthcare-data", "claims-processing", "value-based-care", "population-health", "machine-learning-models", "predictive-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Claims processing", "Value-based care", "Population health", "Machine learning models", "Predictive analytics" ], "toolProficiency" : [ "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "communicationSkills" : "Client presentations; Executive presentations", "innovationCreativity" : "AI-informed analytics; Generative AI tools", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Deliver automated, scalable reporting infrastructure; Improve claims adjudication accuracy; Reduce denials; Enhance payment integrity; Deliver smarter, faster insights at scale", "qualificationsBasic" : "10+ years in healthcare analytics, 3+ years in claims processing analytics, 3+ years leading analytics teams, Proven transformation experience, Technical fluency in modern data stack, AI / ML literacy, Client-facing experience, Startup operating experience, People leadership depth, Bachelor's degree in quantitative field", "qualificationsPreferred" : "Master's preferred, Experience with value-based care analytics, Experience with population health, Exposure to machine learning models, Familiarity with data observability tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. About the Role We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This is not a steady-state management role — we are modernizing our client reporting infrastructure from the ground up, and you will own that mandate from vision to delivery. You will lead a team of analysts, partner closely with Customer Success, Customer Experience, and Data Engineering, and serve as the primary analytics thought partner to our internal and external stakeholders — including direct engagement with clients. The right person brings deep healthcare data expertise, a builder's mindset, and the credibility to earn trust with both technical teams and business partners quickly. This role sits at the center of how Collective Health uses data to serve its clients. Done well, it changes how our clients experience their benefits — and how our internal teams make decisions. What you’ll do: Strategic Leadership Own the analytics strategy and roadmap — not just maintain it; build it from a clear-eyed assessment of current state and a sharp view of where the function needs to go Lead Client Reporting 2.0: audit what exists, design a modern replacement, and deliver an automated, scalable reporting infrastructure that clients trust and CS can stand behind Collaborate with senior leadership across Product, Operations, Engineering, Customer Success, and Customer Experience to align analytics initiatives with business priorities Serve as a direct partner and analytics representative in client conversations, QBRs, and escalations — alongside CS, not behind them Analytics Oversee end-to-end analysis of claims, member, and benefits data to surface trends, inefficiencies, and opportunities for cost savings or process improvement Shift the analytics function from reactive (answering requests) to proactive — surfacing insights that inform product, CS strategy, and executive decision-making before someone has to ask Lead initiatives to improve claims adjudication accuracy, reduce denials, and enhance payment integrity Drive AI-informed analytics — leveraging LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale Data Management this is required, not preferred 10+ years in healthcare analytics with 3+ years in claims processing analytics and 3+ years leading analytics teams Proven transformation experience — has modernized or built an analytics function from scratch, not just managed inherited infrastructure Technical fluency in the modern data stack — Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or BigQuery), orchestration tooling (Airflow or equivalent) AI / ML literacy — working familiarity with LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent); able to guide the team on applied AI use cases without needing to build models personally Client-facing experience — comfortable presenting data to non-technical external audiences, navigating client escalations, and representing analytics in high-stakes conversations Startup operating experience — has worked in a fast-moving, high-ambiguity environment; understands that speed, responsiveness, and ownership look different at a startup than at a large enterprise People leadership depth — has hired, developed, and when necessary managed out; gives direct feedback and does not let performance issues linger Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar); Master's preferred but not required Preferred: Experience with value-based care analytics or population health Exposure to machine learning models and predictive analytics in a healthcare setting Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent) Experience with master data management and data architecture at scale Key Competencies Delivery Accountability — owns a roadmap, manages dependencies, ships without needing constant oversight Strategic thinking paired with hands-on execution — knows when to lead from the front Strong communication across technical and non-technical audiences, including clients and executive leadership Healthcare domain credibility — earns trust quickly with CS, CX, and clients because they know the space Cross-functional partnership — builds relationships, influences without authority, and navigates competing priorities with grace Pay Transparency Statement This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week.#LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 550,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/. San Francisco, CA Pay Range $200,000—$250,000 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.", "summaryDescription" : "Director of Analytics at Collective Health. Skills: Analytics strategy, Client reporting, AI-informed analytics, Data management. Own analytics strategy and roadmap. 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: "5ef5010dcefae799437640fd807dff451f6c500c324e181570f0cbbedf265001", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CliffordChance/744000131404796-reporting-specialist-global-hr-mis-analytics-workday-reporting-", "externalId" : "744000131404796", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "Delhi, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Workday Reporting, SQL, Power BI, R programming, Python, Tableau", "professionalSkills" : [ "HR analysis", "HR reporting", "Data analysis", "Management information", "Quantitative analysis", "Qualitative analysis", "Workforce metrics" ], "hardSkillsList" : [ "Data handling", "Analytical skills", "Data quality checks", "ETL", "Data visualization", "Dashboard development", "HR metrics", "KPIs" ], "softSkillsList" : [ "Client focused" ], "hardSkills" : [ { "name" : "Data handling", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "HR metrics", "level" : "intermediate" }, { "name" : "KPIs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Client focused" } ], "majorSkills" : "HR MIS, Analytics, Workday reporting", "majorSkillsList" : [ "HR MIS", "Analytics", "Workday reporting" ], "coreResponsibilities" : "Design quantitative management information, Design qualitative management information, Develop quantitative management information, Develop qualitative management information, Deliver quantitative management information, Deliver qualitative management information, Support regions with HR analysis, Support CoEs with HR analysis, Support senior stakeholders with HR analysis, Provide detailed HR analysis, Provide accurate HR analysis, Provide FTE data, Provide headcount data, Provide People Survey data, Provide pulse surveys data, Provide attrition data, Provide capacity data, Provide People scorecards data, Build predictive models, Develop advanced algorithms, Extract information from large datasets, Classify information from large datasets, Enhance monthly management packs, Provide value added analysis, Identify trends, Recommend focus on hotspots, Devise ad-hoc metrics, Devise ad-hoc analysis, Support HR strategic initiatives, Solve complex business problems, Use advanced data analytics, Use advanced reporting, Develop tactical statistical models, Understand business opportunity, Understand improvement areas, Ensure quality of data, Advocate effective use of HR systems, Promote standard definitions of HR data, Promote standard definitions of HR metrics, Establish relationships with counterparts, Collect data, Interpret data, Compile data, Uphold data integrity, Identify inconsistencies, Highlight inconsistencies, Test new features of HR systems, Test new functions of HR systems, Expand knowledge on workforce metrics, Add value to reporting output, Ensure compliance with Data Privacy Guidelines, Ensure compliance with Data Protection Guidelines, Promote best practice, Support HR data requests, Support HR reporting requests, Provide benchmarks, Provide historical data, Respond to requests related to HR data, Respond to questions related to HR data, Provide support for change management, Propose solutions for making HR reporting processes efficient, Propose solutions for making HR reporting processes effective, Implement solutions for making HR reporting processes efficient, Implement solutions for making HR reporting processes effective, Automate standard reports, Design user-friendly templates, Design business-relevant templates, Promote self service, Manage ETL activities, Manage data visualization activities, Manage dashboard development activities, Gather data from HR systems, Ensure data integrity, Conduct regular audits, Implement data quality checks, Create standard HR reports, Create ad hoc HR reports, Create headcount reports, Create turnover reports, Create diversity reports, Create compensation reports, Create benefits reports, Develop dashboards, Maintain dashboards, Provide visual insights into key HR metrics, Customize reports, Analyse HR data, Identify trends in HR data, Identify patterns in HR data, Identify insights in HR data, Inform HR strategies, Inform HR initiatives, Ensure compliance with legal requirements, Ensure compliance with regulatory requirements, Provide accurate reports, Provide timely reports, Prepare reports for internal audits, Prepare reports for external audits, Prepare reports for compliance purposes, Define key HR metrics, Define key performance indicators, Track key HR metrics, Track key performance indicators, Report on key HR metrics, Report on key performance indicators, Monitor HR metrics, Analyse HR metrics, Assess effectiveness of HR programs, Assess effectiveness of HR initiatives, Provide recommendations for improving HR processes, Work closely with HR Business Partners, Work closely with Talent Acquisition, Work closely with Learning & Development, Work closely with other HR functions, Understand reporting needs, Deliver actionable insights, Collaborate with IT teams, Collaborate with HRIS teams, Enhance reporting capabilities, Streamline data extraction processes", "teamCollaboration" : "Global HR MIS & Analytics team; HR Data Analytics Specialists; Global team; HR Business Partners; Talent Acquisition; Learning & Development; IT teams; HRIS teams", "projectManagementSkills" : [ "Change management" ], "domainKnowledge" : "HR processes; HR technology applications; Global data protection; European data protection; GDPR", "domainList" : [ "hr-processes", "hr-technology-applications", "global-data-protection", "european-data-protection", "gdpr" ], "domainSpecificKnowledge" : [ "HR processes", "HR technology applications", "Global data protection", "European data protection", "GDPR" ], "toolProficiency" : [ "Workday", "Excel", "Workday Reporting", "SQL", "Power BI", "Qualtrix", "Visier", "SmartRecruiters", "Cornerstone on Demand" ], "communicationSkills" : "Present to audiences", "continuousLearning" : "Formal training; Informal coaching; Mentoring; Skills-based training; Technical training; On the job learning", "innovationCreativity" : "Proposing solutions; Implementing solutions; Automate standard reports; Design user-friendly templates; Design business-relevant templates", "problemSolvingSkills" : "Problem-solving skills; Decision making skills; Troubleshoot; Solve complex business problems", "outcomesObjectives" : "Ensure data integrity; Uphold data integrity; Add value to reporting output; Ensure compliance with Data Privacy; Ensure compliance with Data Protection; Promote best practice", "qualificationsBasic" : "Solid reporting experience, Analytical, highly numerate, Excellent data handling skills, Working knowledge of Workday, Working knowledge of Workday reporting, Awareness of Global & European data protection requirements, Knowledge of Excel, Knowledge of Workday Reporting, Knowledge of SQL, Knowledge of Power BI, Knowledge of Qualtrix, Knowledge of Visier, Excellent interpersonal skills, Excellent communication skills, Ability to work as part of a team, Ability to individually manage workload, Good decision making skills, Good problem-solving skills", "qualificationsPreferred" : "Knowledge of R programming, Knowledge of Python, Knowledge of Tableau, Knowledge of other analytical tools, Knowledge of HR processes, Knowledge of HR technology applications, Professional experience in HR, Professional experience supporting HR analytics, Ability to present to audiences of a senior level, Ability to work under pressure, Ability to meet tight deadlines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who we are As a global law firm our work spans jurisdictions, cultures, and languages – and so do our people. Our culture is collaborative and inclusive — where diverse perspectives are recognised and valued. Where performing to your highest ability, unlocks equal access to opportunities to learn, thrive and grow. We combine deep legal expertise and commercial intelligence to grow, transform, protect, and defend our clients' businesses, across every critical moment. We operate in the sectors and regions that matter to our clients. With forward-thinking insights and innovative, tech-enabled solutions that combine deep knowledge of their sectors and markets. You’ll build connections and work with colleagues as one global team. You’ll unlock opportunities for clients, across borders, cultures, legal and commercial disciplines. Join us to work with colleagues as one global team – empowering each other to be exceptional and create advantage for our clients. Our India team is a well-established and integral part of the firm’s global operations, delivering high-value support across a wide spectrum of functions. With over 800 business professionals based in Gurugram and Hyderabad, we’ve been driving operational excellence and innovation for more than 15 years. We contribute to global success in areas such as Information Technology, Finance, Human Resources, Risk & Compliance, Legal Support, Research & Knowledge, Document Production, Virtual Executive Assistance, Programme Management, Client & Market Development, and Continuous Improvement. The role The primary responsibilities of this role involve the design, development and delivery of quantitative and qualitative management information to a wide variety of global groups both internal and external to HR. Metrics produced are both global and regional specific, dependent upon the target audience. Who you will work with You will work with our high performing HR MI & Analytics team and this role gives you an exciting opportunity to – be part of a team of experienced HR Data Analytics Specialists who support the firm's strategic objectives, enabled by data driven insights and decision making What you will be responsible for HR Standard Reporting and Analytics * Support the regions, Communities of Expertise and senior stakeholders by providing detailed and accurate HR analysis and reporting including, but not limited to, FTE and headcount data, People Survey, pulse surveys, attrition, capacity, People scorecards, etc. * Build predictive models from multiple data sources, develop advanced algorithms that extract and classify information from large datasets. * Production/enhancement of monthly management packs providing value added analysis to help stakeholders identify trends and recommend focus on hotspots. * Devise ad-hoc metrics and analysis to support HR strategic initiatives performing the role of subject matter expert. * Work with the team to solve complex business problems using advanced data analytics and reporting. * Use data to develop tactical statistical models to understand business opportunity and improvement areas. * Troubleshoot and ensure quality of data and reports; advocate the effective use of HR systems and data by promoting standard definitions of HR data and metrics in the region. * Establish strong relationships with counterparts at global, regional and local levels in order to effectively collect, interpret and compile data as needed. * Uphold data integrity by continuously identifying and highlighting inconsistencies for relevant operational owners to rectify and by testing new features/functions of HR systems. * Continually look to expand knowledge on workforce metrics to add value to the reporting output. * Ensure compliance with Data Privacy and Protection Guidelines and promote best practice at all times. HR projects and ad-hoc requests * Support HR data and reporting requests by providing benchmarks, historical data and responding to requests and questions related to HR data. * Provide support for change management on analytics-related and other HR projects Digitizing Reporting * Participate proactively in proposing and implementing solutions for making HR reporting processes more efficient and effective. * Automate standard reports and design user-friendly, business-relevant templates that promote self service. * Manage ETL (extract, transform and load of data), data visualization and dashboard development activities. What you will do * Data Collection & Management: Gather data from various HR systems, such as HRIS (Workday), ATS (SmartRecruiters), LMS (Cornerstone on Demand), to ensure data integrity by conducting regular audits and implementing data quality checks. * Report Generation : Create standard and ad hoc HR reports, including headcount, turnover, diversity, compensation, and benefits reports. Develop and maintain dashboards that provide visual insights into key HR metrics. Customize reports to meet the specific needs of different stakeholders, including HR leaders, business managers, and executives. * Data Analysis : Analyse HR data to identify trends, patterns, and insights that can inform HR strategies and initiatives. * Compliance & Reporting: Ensure compliance with legal and regulatory requirements by providing accurate and timely reports. Prepare reports for internal audits, external audits, and compliance purposes. * HR Metrics and KPIs : Define, track, and report on key HR metrics and performance indicators. Monitor and analyse HR metrics to assess the effectiveness of HR programs and initiatives. Provide recommendations for improving HR processes based on data analysis. * Collaboration & Communication: Work closely with HR Business Partners, Talent Acquisition, Learning & Development, and other HR functions to understand reporting needs and deliver actionable insights. Collaborate with IT and HRIS teams to enhance reporting capabilities and streamline data extraction processes. ## Qualifications Your experience * In order to perform this role, you should have solid reporting experience in a similar role. * You will be analytical, highly numerate. Excellent data handling and analytical skills, including experience of working with various data sources. * A working knowledge of Workday and Workday reporting is essential. * Awareness of Global & European data protection requirements (GDPR) and practices * Knowledge of Excel, Workday Reporting, SQL, Power BI, Qualtrix & Visier. * Knowledge of R programming, Python, Tableau and other analytical tools is advantageous. * Knowledge of HR processes and HR technology applications and professional experience in HR or supporting HR analytics. * Excellent interpersonal and communication skills and be able to work in a highly client focused environment with an ability to present to audiences of a senior level. * You must have the ability to work as part of a team and individually manage your workload to ensure that targets are met. * You should possess good decision making and problem-solving skills to work as a subject matter expert, having the judgement to escalate complex problems when necessary and the ability to work under pressure at times often to tight deadlines. How we will support you From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning. ## Additional Information Equal opportunities At Clifford Chance, we forge an inclusive culture, where diverse perspectives are recognised and valued. It’s a culture where everyone has equal access to opportunities to thrive and succeed. We are guided by our values-based Code, which sets high standards of conduct and has a principle focused on being inclusive. We comply with the law and regulations in every location where we operate and we are committed to delivering fair and equal access to all applicants and employees irrespective of background. This applies across all aspects of employment from recruitment and selection to development, progression, and day-to-day working life. Our global network of affinity, faith and support groups are open to all. These communities help to create an environment where everyone at the firm can feel they belong and can reach their full potential. Find out more about our inclusive culture [here](https://www.cliffordchance.com/about_us/inclusion-and-diversity.html)", "summaryDescription" : "Reporting Specialist - Global HR MIS & Analytics (Workday reporting) at Clifford Chance. Skills: HR MIS, Analytics, Workday reporting. Design quantitative management information. Design qualitative management information", "postedDate" : "2026-06-10T09:13:50.000", "createdAt" : "2026-06-11T23:52:11.728", "lastUpdated" : "2026-06-14T22:17:29.303", "ingestTimestamp" : "2026-06-11T23:52:11.728", "mongoId" : "6a2a558f74d8ee00a0606e4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data handling", "Analytical skills", "Data quality checks", "ETL", "Data visualization", "Dashboard development", "HR metrics", "KPIs", "Client focused", "HR MIS", "Analytics", "Workday reporting", "HR analysis", "HR reporting", "Data analysis", "Management information", "Quantitative analysis", "Qualitative analysis", "Workforce metrics", "Change management", "HR processes", "HR technology applications", "Global data protection", "European data protection", "GDPR", "Workday", "Excel", "Workday Reporting", "SQL", "Power BI", "Qualtrix", "Visier", "SmartRecruiters", "Cornerstone on Demand" ], "skillCount" : 34, "jobCategory" : "human-resources", "jobSubcategory" : "human-resources", "dataQualityScore" : 1.0, "_score" : 726.671, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706957fc9a711f0f6ed94", "title" : "SME Automation", "company" : "ADCI", "industry" : "Operations, IT, Support Engineering, Catalog, Retail", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Bengaluru, India, adjusted for mid-seniority and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:57:35.846", "fingerprint" : "795a6d8b827a838c5cfb7d4c371008d3415b822c21e04b257d356b595b4b423c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070472/apply", "externalId" : "329a3f14-ab3c-471f-be56-cdb7d8ee4dc5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Excel, Microsoft Office", "professionalSkills" : [ "Catalog management", "Process management", "Data analysis", "Business recommendations", "Business decisions" ], "hardSkillsList" : [ "Data interpretation", "Business analysis" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" } ], "majorSkills" : "Automation, Catalog management, Data analysis", "majorSkillsList" : [ "Automation", "Catalog management", "Data analysis" ], "coreResponsibilities" : "Design analytical frameworks, Implement analytical frameworks, Build automated systems, Build self-service reporting tools, Partner with cross-functional teams, Identify automation opportunities, Convert manual reporting processes, Support catalog optimization, Support operational efficiency, Conduct in-depth analysis, Enable proactive monitoring, Enable exception management, Maintain documentation, Maintain automation playbooks, Stay current with trends, Recommend best-fit approaches", "teamCollaboration" : "Internal stakeholders; Global functional teams; Cross-functional teams; Product teams; Program teams; Operations teams", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Automation; Catalog management; Vendor metrics; Catalog health; Content accuracy; Operational processes; E-commerce partnership", "domainList" : [ "automation", "catalog-management", "vendor-metrics", "catalog-health", "content-accuracy", "operational-processes", "e-commerce-partnership" ], "domainSpecificKnowledge" : [ "Automation", "Catalog management", "Vendor metrics", "Catalog health", "Content accuracy", "Operational processes", "E-commerce partnership" ], "toolProficiency" : [ "Tableau", "Advanced Excel" ], "documentationSkills" : "Documentation", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Improve key AVS vendor metrics; Enhance catalog health; Streamline operational processes; Ensure high-quality service delivery; Support vendor growth; Support vendor satisfaction", "qualificationsBasic" : "3+ years program management, 3+ years project management, Knowledge of Excel, Experience interpreting data, Experience using data, Knowledge of Microsoft Office", "qualificationsPreferred" : "Experience with Tableau, Experience with other data tools, Knowledge of Advanced Excel", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Vendor Services (AVS) is seeking a highly analytical and technically proficient Subject Matter Expert (SME) with deep expertise in automation and catalog management to lead the development of scalable, long-term analytical and operational infrastructure. This role is pivotal in driving efficiency across AVS by building automation tools, developing self-service analytics solutions, and eliminating manual processes to enable strategic decision-making. As a SME, you will work closely with internal stakeholders and global functional teams to design and implement end-to-end workflows that improve key AVS vendor metrics. Your focus will be on enhancing catalog health, content accuracy, streamlining operational processes, managing evolving business requirements, and ensuring high-quality, SLA-aligned service delivery. You will also champion process excellence mechanisms and scalable solutions that support AVS’s mission of driving vendor growth and satisfaction through a sustainable and efficient e-commerce partnership. Key job responsibilities Design and implement robust analytical frameworks that support end-to-end automation across key operational and catalog management processes. Build scalable, automated systems and self-service reporting tools to enable data-driven decision-making across product, program, and operations teams. Partner with cross-functional teams to identify automation opportunities and convert manual reporting processes—especially those related to business metrics, catalog health, selection onboarding, and content enrichment—into scalable, repeatable solutions. Support catalog optimization and operational efficiency through automation and process standardization. Conduct in-depth analysis to uncover trends, patterns, and root causes that inform strategic planning and automation design, with a focus on catalog accuracy, completeness, and discoverability. Enable proactive monitoring and exception management through automation to surface issues such as missing content and selection gaps, and optimize performance in real time. Maintain clear, up-to-date documentation and automation playbooks to ensure continuity and operational readiness. Stay current with emerging analytics and automation trends and recommend best-fit approaches to drive long-term scale in catalog and operations. Basic Qualifications: - 3+ years of program or project management experience - Knowledge of Excel skills to be able to refine data and prepare business reports - Experience interpreting data and making business recommendations - Experience using data to influence business decisions - Knowledge of Microsoft Office products and applications Preferred Qualifications: - Experience with Tableau or other data tools - Knowledge of Advanced Excel (Array and Statistical formulas) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "SME Automation at ADCI. Skills: Automation, Catalog management, Data analysis. Design analytical frameworks. Implement analytical frameworks", "postedDate" : "2026-06-13T08:16:28.044", "createdAt" : "2026-06-13T08:16:28.044", "lastUpdated" : "2026-06-15T02:57:35.846", "ingestTimestamp" : "2026-06-13T08:16:28.044", "mongoId" : "68b706957fc9a711f0f6ed94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070472/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Business analysis", "Automation", "Catalog management", "Data analysis", "Process management", "Business recommendations", "Business decisions", "Program management", "Project management", "Vendor metrics", "Catalog health", "Content accuracy", "Operational processes", "E-commerce partnership", "Tableau", "Advanced Excel" ], "skillCount" : 17, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 725.5854, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a767974d8ee00a065c4ac", "title" : "Analytics Manager", "company" : "VML", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics Manager in the UK, adjusted for seniority, industry, and company size." }, "location" : "England, United Kingdom", "locations" : [ "England", "United Kingdom" ], "timestamp" : "2026-06-14T21:09:29.605", "fingerprint" : "67a021abfe84cbe92610ca7b145333023713472dcbd16803e5ede10eb96f10c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.vml.com/careers/job/8570955002?gh_jid=8570955002", "externalId" : "8570955002", "structuredLocations" : [ { "state" : "England", "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "England, United Kingdom", "experienceLevel" : "Manager", "technicalSkills" : "Python, BigQuery, SQL, GA, PowerBI, Tableau, Looker Studio", "professionalSkills" : [ "Data storytelling", "Performance analysis", "Customer segmentation", "Predictive modelling", "Multivariate analysis", "A/B testing" ], "hardSkillsList" : [ "Data analysis", "Web analytics", "Statistical techniques", "Reporting dashboard design", "Data quality", "Data consistency" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Web analytics", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Reporting dashboard design", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data consistency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics, Data management, Client advisory", "majorSkillsList" : [ "Analytics", "Data management", "Client advisory" ], "coreResponsibilities" : "Manage team of analysts, Deliver optimal quality work, Stay aware of innovations, Design analysis projects, Manage end-to-end analyses, Optimise across the funnel, Manage workloads, Allocate projects, Oversee measurement projects, Deliver effectiveness projects, Understand marketing impact, Lead strategic projects, Apply relevant methodologies, Measure and evaluate, Recommend better ways, Provide written output, Provide verbal output, Support marketing strategy, Manage data issues, Resolve data issues, Advise clients on data, Advise on analytical methodology, Present to clients, Attend client meetings, Integrate data work, Support junior team members, Develop colleague skills, Sustain learning culture", "teamCollaboration" : "Wider analytics team; Data team; Strategy teams; Account teams; Multiple disciplines; Cross-functional teams", "projectManagementSkills" : [ "Workload management", "Project prioritization" ], "domainKnowledge" : "Marketing analytics; Web analytics; AI optimisation", "domainList" : [ "marketing-analytics", "web-analytics", "ai-optimisation" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Web analytics", "AI optimisation" ], "toolProficiency" : [ "GA", "PowerBI", "Tableau", "Looker Studio" ], "communicationSkills" : "Written output; Verbal output; Client presentations", "continuousLearning" : "Latest innovations; Evolving world of AI", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "8+ years experience, Managed a team, Web analytics data experience, SQL proficiency, Python proficiency, BigQuery proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy' s. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. Who we’re looking for: We are looking for an Analytics Manager to work within the VML Data team. The Analytics Manager will lead a team of analysts who will be responsible for analysing data to deliver value through understanding our clients’ data and the performance of marketing activities. Working closely with the wider analytics and data team you will be responsible for determining the prioritisation of projects, based on expected value to the business, and identify the best resource to work on each project based on skills and specialities. Role Overview: As an Analytics Manager, you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and work with data strategists and consultants to answer business questions, ultimately ensuring that we are making best use of available data to deliver against the client vision. On a day-to-day basis you will lead across all analysis projects, ensuring the final delivering is to a high degree of accuracy. You will mentor and manage a diverse group of analysts, inspiring and reassuring them, ensuring they are confident in their work and delivering to the optimal level This is predominantly a technical role grounded in web analytics data, so you should be experienced in handling large data sets and a variety of web analytics tools. Communication and interpersonal skills are important, both in collaborating with clients and colleagues across multiple disciplines. What you’ll be doing: Manage a team of analysts to deliver the optimal quality of work Ensure all in the team are aware of latest innovations and ways of working, especially in the evolving world of AI Design, manage, and deliver end-to-end analyses aimed at helping Marketing to optimise across the funnel Manage all workloads and allocate projects based on skills and capabilities, ensuring all in the team are learning new skills Oversee the delivery of measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on behaviour Deliver and take lead on strategic projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working Develop and provide written and verbal output on reports and presentations, supporting with recommendations on marketing strategy Manage and resolve data issues involving quality and consistency of data Be the clients trusted advisor on data and analytical methodology - make it easy for them to make business decisions based on data Present to clients and attend client meetings. Be highly collaborative in integrating data work into agency deliverables, working with strategy and account teams to develop a culture of data informed decision-making. Offer leadership and expertise to support the development of junior team members Develop the skills and knowledge of colleagues, creating and sustaining a learning culture within the team. Experience: 8+ years working in a marketing or related field an analytics manager or senior analyst who has managed a team Experience of coding languages for analysis (Python, BigQuery & SQL preferred) Experience of web analytics tools such as GA Experience of developing wrireframes and creating dashboards Experience in data storytelling, demonstrating how to interpret data into recommendations Understanding of where and how to use AI to optimise efficiency and effectiveness Proven record of delivering high quality outputs Attention to detail and a commitment to accuracy Ability to manage a team as well as own workload autonomously and thrive in an agency environment, working across multiple teams Able to translate business needs and requirements to analytical methods and outputs Good written and verbal communication skills High level analytical skills in relation to performance analysis Experience of devising, implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance Who we are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.  Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences.  Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.  We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and  X. When you click \"Submit Application\", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.", "summaryDescription" : "Analytics Manager at VML. Skills: Analytics, Data management, Client advisory. Manage team of analysts. Deliver optimal quality work", "postedDate" : "2026-06-11T21:37:09.971", "createdAt" : "2026-06-11T21:37:09.971", "lastUpdated" : "2026-06-14T21:09:29.605", "ingestTimestamp" : "2026-06-11T21:37:09.971", "mongoId" : "6a2a767974d8ee00a065c4ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Web analytics", "Statistical techniques", "Reporting dashboard design", "Data quality", "Data consistency", "Leadership", "Mentoring", "Analytics", "Data management", "Client advisory", "Data storytelling", "Performance analysis", "Customer segmentation", "Predictive modelling", "Multivariate analysis", "A/B testing", "Workload management", "Project prioritization", "Marketing analytics", "AI optimisation", "GA", "PowerBI", "Tableau", "Looker Studio" ], "skillCount" : 25, "jobCategory" : "marketing", "jobSubcategory" : "marketing-effectiveness-&-intelligence", "dataQualityScore" : 0.8888889, "_score" : 725.34564, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5fbf74d8ee00a08ee503", "title" : "Senior Analyst, Reporting", "company" : "Track OMC", "salary" : { "min" : 70000.0, "max" : 85000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Track Toronto", "locations" : [ "Track Toronto" ], "timestamp" : "2026-06-15T00:40:44.397", "fingerprint" : "8dc3b3f6de9fd5914738333cc7613be0c447b43c0eeb3fd57819a78f2664ffdd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trackomc/jobs/7974944", "externalId" : "7974944", "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Google Analytics, Adobe Analytics, Tableau, Power BI", "professionalSkills" : [ "Marketing analytics", "CRM analytics", "Database marketing" ], "hardSkillsList" : [ "Statistical analysis", "Data visualization", "Data manipulation", "Regression", "Segmentation", "Forecasting" ], "softSkillsList" : [ "Detailed", "Data driven", "Teamwork" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Detailed" }, { "name" : "Data driven" }, { "name" : "Teamwork" } ], "majorSkills" : "Reporting, Analytics, Data visualization, Dashboarding", "majorSkillsList" : [ "Reporting", "Analytics", "Data visualization", "Dashboarding" ], "coreResponsibilities" : "Contribute and/or lead client reporting and analysis projects, Create campaign labeling and tracking, Create timely and accurate reporting, Deliver insights that inform strategy and drive measurable, Work closely with internal teams, clients, and partners, Analyze marketing and customer data to measure campaign, Build client-ready dashboards, Manage your workload and identify risks, Present complex analytical findings in a clear, engaging, Ensure high standards for data quality, integrity, and, Stay current on analytics tools, technologies (including AI), Champion innovation and continuous improvement", "teamCollaboration" : "Internal teams; Clients; Partners", "domainKnowledge" : "Marketing analytics concepts; Email metrics; SMS metrics; Web metrics; Database marketing principles", "domainList" : [ "marketing-analytics-concepts", "email-metrics", "sms-metrics", "web-metrics", "database-marketing-principles" ], "domainSpecificKnowledge" : [ "Marketing analytics concepts", "Email metrics", "SMS metrics", "Web metrics", "Database marketing principles" ], "toolProficiency" : [ "Excel", "Google Analytics", "Adobe Analytics", "Tableau", "Power BI" ], "communicationSkills" : "Presentation skills; Data storytelling; Verbal communication; Written communication", "documentationSkills" : "Client-ready documents", "continuousLearning" : "LinkedIn Learning", "innovationCreativity" : "Automation; AI", "problemSolvingSkills" : "Analytical solutions", "outcomesObjectives" : "Drive measurable outcomes; Optimize marketing strategies; Improve ROI", "qualificationsBasic" : "Undergraduate degree in analytics, statistics, economics, computer science, or related quantitative discipline, At least 3 years of analytics experience, 1+ years with an Advertising, Marketing, Analytics, or Digital Media firm, Demonstrated experience with customer data, media & marketing measurement and CRM analytics, An understanding of core marketing analytics concepts including email, SMS and Web metrics, Advanced Excel skills, Proficiency with analytics and data visualization tools, Advanced level SQL programming skills, Familiarity with Python, Hands-on skills in statistical analysis and/or modeling, Extensive knowledge of database marketing principles and database structure, Presentation skills, Data storytelling, Ability to simplify and package complex ideas for presentation and into client-ready documents, Verbal and written communication skills, Natural curiosity and an aptitude for continuous learning, Demonstrated ability to effectively maintain focus while working on multiple complex projects, Ability to work with minimal supervision", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "TRACK Canada is looking for a Senior Analyst, Reporting (6-month contract) to join our award winning Marketing Sciences team. WHO WE ARE: We are TRACK – a member of the RAPP family– world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.   We foster an inclusive workplace that emphasizes personal well-being. HOW WE DO IT: At TRACK, our fearless super connectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.  Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.  Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets. The TRACK team makes up 100 of those. YOUR ROLE: As Reporting Analyst, you will be responsible for contributing to campaign reporting and dashboarding projects that help our clients understand how their CRM marketing is performing and help them answer strategic questions about their customers using data. The Analyst leverages data visualization, data manipulation and statistics knowledge to inform our CRM experience and testing strategy and evaluate impact of our marketing programs. We seek an individual who is detailed and data driven – and who will continuously seek out new ways of working focusing on opportunities for automation and the use of AI. We’re looking for a true teammate – someone willing to lend a hand, no matter the ask, so that we can all succeed together. We love crafting exciting, conceptual campaigns, but we are also passionate about bringing excellence to the day-to-day brand communications that our clients rely on. That’s how we make ourselves invaluable and earn their trust. This role requires navigating fast-paced, client-focused environments with multiple deadlines and conflicting priorities. This is a 6-month contract, with the possibility of conversion to a permanent position. YOUR RESPONSIBILITIES: Contribute and/or lead client reporting and analysis projects Create campaign labeling and tracking Create timely and accurate reporting Deliver insights that inform strategy and drive measurable outcomes. Work closely with internal teams, clients, and partners to translate business challenges into analytical solutions and actionable insights. Analyze marketing and customer data to measure campaign performance, identify trends, and provide data-driven insights to optimize marketing strategies and improve ROI. Build client-ready dashboards. Manage your workload and identify risks. Present complex analytical findings in a clear, engaging manner to both technical and non-technical audiences. Ensure high standards for data quality, integrity, and privacy across all client work. Stay current on analytics tools, technologies (including AI) and industry trends; champion innovation and continuous improvement. REQUIRED SKILLS: Undergraduate degree in analytics, statistics, economics, computer science, or related quantitative discipline At least 3 years of analytics experience, preferably 1+ years with an Advertising, Marketing, Analytics, or Digital Media firm Demonstrated experience with customer data, media & marketing measurement and CRM analytics. An understanding of core marketing analytics concepts including email, SMS and Web metrics. Advanced Excel skills Proficiency with analytics and data visualization tools (e.g., Google Analytics, Adobe Analytics, Tableau, Power BI). Advanced level SQL programming skills. Familiarity with Python. Hands-on skills in statistical analysis and/or modeling (regression, segmentation, forecasting, etc.) Extensive knowledge of database marketing principles and database structure Presentation skills, data storytelling and the ability to simplify and package complex ideas for presentation and into client-ready documents. Strong verbal and written communication skills Natural curiosity and an aptitude for continuous learning. Demonstrated ability to effectively maintain focus while working on multiple complex projects and to work with minimal supervision. OUR PERKS: Generous PTO policy Comprehensive health and dental plans Paid personal and sick days Extra-long weekends over the summer Birthday day off Hybrid work model Tuition reimbursement program Unlimited access to LinkedIn Learning Telecoms monthly allowance RRSP company match Referral bonus Our hybrid work model: TRACK's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, with in-office attendance the rest of the week from our Toronto office. This job posting is for a 6-month contract vacancy. The salary range for this role is $70,000-$85,000", "summaryDescription" : "Senior Analyst, Reporting at Track OMC. Skills: Reporting, Analytics, Data visualization, Dashboarding. Contribute and/or lead client reporting and analysis projects. 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Partner with operations; Partner with supply chain; Partner with finance; Partner with support teams; Collaborate across Finance; Collaborate across Technology", "projectManagementSkills" : [ "Process improvement", "Automation projects" ], "domainKnowledge" : "Operations Insights; WW Operations; Controllership", "domainList" : [ "operations-insights", "ww-operations", "controllership" ], "domainSpecificKnowledge" : [ "Operations Insights", "WW Operations", "Controllership" ], "toolProficiency" : [ "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "communicationSkills" : "Finance communication", "continuousLearning" : "Continuous improvement", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Improve controllership with measurable results; Drive financial performance and strategy; Deliver accurate timely financial models; Achieve high-impact results; Enhance operational efficiency", "qualificationsBasic" : "5+ years tax, finance or analytical field, 5+ years multiple finance accounting roles, 6+ years Accounts Receivable or Payable, 6+ years applying financial KPIs, 6+ years building financial operational reports, 6+ years creating process improvements automation, 6+ years participating continuous improvement projects, 5+ years dissecting financial data, 5+ years leading cross-functional initiatives, Bachelor's degree engineering, statistics or business, Bachelor's degree and 5+ years quantitative role", "qualificationsPreferred" : "6+ years identifying incomplete inaccurate data, 6+ years solving complex business challenges, MBA or CPA, Knowledge of SQL/ETL, Experience large-scale data mining reporting tools, Experience with financial systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we're working to be the world’s most customer-centric company. Driving innovation on behalf of customers is core to our mission, and this position supports one of our largest business to deliver on this mission. As member of the Operations Insights, Planning, Analytics and Technology (IPAT) team, this position owns WW Operations month end reporting. The Finance Manager will partner with the World Wide Operations teams to setup scalable processes and controls. The Finance Manger will need to own setting up governance framework; build and maintain processes while partnering with stakeholder teams to improve controllership. The Finance Manager will need to be capable of operating with a high degree of autonomy, and hence needs to demonstrate a high degree of comfort with ambiguity besides holding a high bar on professional integrity. The successful candidate will have a high attention to detail, unlimited curiosity, and a strong passion for continuous improvement. This role requires extensive cross-functional partnership with various operations, supply chain, finance, and other support teams to identify and address cost opportunities across the network. This individual will contribute to month end close, cost business reviews, network scale initiatives, and ad-hoc analysis. Key job responsibilities - Driving finance communication with diverse partner teams on operational performance and financial impact - Drive automation and scale of financial reporting by simplifying process for internal stakeholders (e.g. finance peers and business partners). - Use AI tools to draft and refine financial narratives, business cases, and strategic documents that align with Amazon's writing principles - Spearhead key automation projects, collaborating across Finance and Technology teams to achieve high-impact results and enhance operational efficiency About the team Our team is collaborative and knowledgeable. We work in a supportive environment where expertise is shared freely and invent and simplify is highly encouraged. There are numerous opportunities to improve the status quo by working with stakeholders across World Wide Operations, implementing better processes, and driving meaningful change through financial analysis and planning. Basic Qualifications: - 5+ years of tax, finance or a related analytical field experience - 5+ years of multiple finance and accounting roles experience - 6+ years of Accounts Receivable or Account Payable experience - 6+ years of applying key financial performance indicators (KPIs) to analyses experience - 6+ years of building financial and operational reports/data sets that inform business decision-making experience - 6+ years of creating process improvements with automation and analysis experience - 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - 5+ years of dissecting financial data and identifying patterns that support business strategy experience - 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Preferred Qualifications: - 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience - 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience - MBA, or CPA - Knowledge of SQL/ETL - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) - Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 95,400.00 - 163,200.00 USD annually", "summaryDescription" : "Finance Manager, WW Operations Insights, Planning, Analytics and Technology Team at Amazon.com Services LLC. Skills: Financial reporting, Process automation, Cross-functional leadership. Own WW Operations month end reporting. Partner with WW Operations teams", "postedDate" : "2026-06-13T04:39:25.269", "createdAt" : "2026-06-13T04:39:25.269", "lastUpdated" : "2026-06-15T02:40:11.789", "ingestTimestamp" : "2026-06-13T04:39:25.269", "mongoId" : "69fda4e44c40e2acd1b9995e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412949/apply", "salaryAnnualMin" : 95400, "salaryAnnualMax" : 163200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Month end reporting", "Financial modeling", "Variance analysis", "Data interpretation", "Autonomy", "Integrity", "Curiosity", "Continuous improvement", "Financial reporting", "Process automation", "Cross-functional leadership", "Process improvement", "Automation", "Controllership", "Financial analysis", "Financial planning", "Cost analysis", "Automation projects", "Operations Insights", "WW Operations", "CPA", "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "skillCount" : 28, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 718.19275, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance" }, { "id" : "6a2cb13d74d8ee00a09dc974", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-15T07:50:57.009", "fingerprint" : "0ea5d6e7724047bb2c51e66eb6bd95492a430a925919bb3daea0fd2b5b0750ae", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/f21c1a5a-36f1-4397-afe3-a541bee5fffe/application", "externalId" : "f21c1a5a-36f1-4397-afe3-a541bee5fffe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai", "createdAt" : "2026-06-13T22:25:08.963", "lastUpdated" : "2026-06-15T07:50:57.009", "ingestTimestamp" : "2026-06-13T22:25:08.963", "mongoId" : "6a2cb13d74d8ee00a09dc974", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 713.3219, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a83415", "title" : "Marketing Analytics Manager", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Marketing Analytics Manager in Irvine, United States, adjusted for manager seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1. Cross ‑ Platform Marketing Analytics & Insights · Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. · Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. · Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2. Journey Analytics & Attribution · Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. · Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. · Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. · Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. · Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3. Data & Marketing Technology Enablement · Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. · Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). · Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4. Cross ‑ Functional & Executive Partnership · Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. · Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. · Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. · Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring · Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. · Experience with Salesforce and Adobe technology stacks. · Experience with content marketing, email marketing, and SEO marketing. · Automotive or financial services industries preferred. · Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. · Salesforce or Adobe certification(s) a plus. · MBA a plus. · Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. · SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. · Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Marketing Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T19:48:31.205", "lastUpdated" : "2026-06-16T01:10:37.668", "ingestTimestamp" : "2026-06-14T19:48:31.205", "mongoId" : "69fc49a74c40e2acd1a83415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 710.50305, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb21074d8ee00a09dfc69", "title" : "Senior Marketing Automation Manager", "industry" : "Marketing", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Spain, adjusted for Seniority, Technology industry, and a major city location." }, "location" : "Spain", "locations" : [ "Spain" ], "timestamp" : "2026-06-16T00:03:46.589", "fingerprint" : "88bd1bdf53f615e4b49688ab7d6776af210d62e49b059bddd565cc4530fffb97", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/50299c14-b097-4c0f-b3af-bb1dbfc50e34/apply", "externalId" : "50299c14-b097-4c0f-b3af-bb1dbfc50e34", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Marketo, HubSpot, Salesforce Marketing Cloud, Python, JavaScript, SQL, Velocity", "professionalSkills" : [ "Lifecycle marketing", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Data analysis", "Marketing technology" ], "hardSkillsList" : [ "Marketing automation", "Workflow design", "Lead scoring", "Data integration", "Performance metrics" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Lead scoring", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "majorSkills" : "Marketing automation, CRM, Lifecycle marketing, Data analysis", "majorSkillsList" : [ "Marketing automation", "CRM", "Lifecycle marketing", "Data analysis" ], "coreResponsibilities" : "Design, build, and optimize advanced lifecycle marketing journeys, Develop and maintain scalable marketing automation workflows, Monitor, analyze, and optimize CRM and marketing automation, Lead experimentation initiatives across segmentation, targeting, messaging, and, Build and refine lead scoring, lead nurturing, and, Manage integrations and automations between CRM systems and, Collaborate with cross-functional marketing and data teams, Leverage data insights and segmentation strategies to improve, Stay up to date with emerging marketing technology, Continuously improve automation capabilities and processes", "teamCollaboration" : "Cross-functional marketing teams; Data teams", "domainKnowledge" : "B2B marketing; Technology marketing; Marketing automation best practices; CRM data structures; Lead generation funnels", "domainList" : [ "b2b-marketing", "technology-marketing", "marketing-automation-best-practices", "crm-data-structures", "lead-generation-funnels" ], "domainSpecificKnowledge" : [ "B2B marketing", "Technology marketing", "Marketing automation best practices", "CRM data structures", "Lead generation funnels" ], "toolProficiency" : [ "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "continuousLearning" : "Personal learning and development budget", "innovationCreativity" : "Experimental mindset", "problemSolvingSkills" : "Data interpretation; Actionable marketing strategies", "outcomesObjectives" : "Improve engagement and conversion; Support lead generation, nurturing, and customer lifecycle initiatives; Ensure system health and operational efficiency; Improve marketing outcomes; Align frameworks with business growth objectives; Ensure seamless data flow and campaign execution; Support broader marketing strategies; Improve personalization, targeting, and campaign effectiveness", "qualificationsBasic" : "Extensive experience in marketing automation, CRM operations, or lifecycle marketing roles, Hands-on expertise with platforms such as Marketo, HubSpot, Salesforce Marketing Cloud, or similar, Proven experience designing and implementing marketing automation workflows, lead scoring models, and segmentation strategies, Solid understanding of CRM data structures, lead generation funnels, and marketing performance metrics, Experience integrating CRM systems with other platforms and managing data flows, Working knowledge of at least two programming or scripting languages such as Python, JavaScript, SQL, or Velocity, Analytical mindset with the ability to interpret data and translate insights into actionable marketing strategies, Excellent understanding of modern marketing technology trends and automation best practices, Communication skills with the ability to collaborate effectively across technical and non-technical teams, Proactive, experimental mindset with a focus on continuous improvement and measurable impact", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and optimize advanced lifecycle marketing journeys across email and multi-channel CRM environments to improve engagement and conversion. Develop and maintain scalable marketing automation workflows that support lead generation, nurturing, and customer lifecycle initiatives. Monitor, analyze, and optimize CRM and marketing automation platform performance, ensuring system health and operational efficiency. Lead experimentation initiatives across segmentation, targeting, messaging, and conversion optimization to improve marketing outcomes. Build and refine lead scoring, lead nurturing, and engagement frameworks aligned with business growth objectives. Manage integrations and automations between CRM systems and external platforms to ensure seamless data flow and campaign execution. Collaborate with cross-functional marketing and data teams to implement scalable automation solutions that support broader marketing strategies. Leverage data insights and segmentation strategies to improve personalization, targeting, and campaign effectiveness. Stay up to date with emerging marketing technology trends and continuously improve automation capabilities and processes. Requirements Extensive experience in marketing automation, CRM operations, or lifecycle marketing roles in a B2B or technology-driven environment. Strong hands-on expertise with platforms such as Marketo, HubSpot, Salesforce Marketing Cloud, or similar marketing automation tools. Proven experience designing and implementing marketing automation workflows, lead scoring models, and segmentation strategies. Solid understanding of CRM data structures, lead generation funnels, and marketing performance metrics. Experience integrating CRM systems with other platforms and managing data flows across marketing technology stacks. Working knowledge of at least two programming or scripting languages such as Python, JavaScript, SQL, or Velocity. Strong analytical mindset with the ability to interpret data and translate insights into actionable marketing strategies. Excellent understanding of modern marketing technology trends and automation best practices. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Proactive, experimental mindset with a strong focus on continuous improvement and measurable impact. Benefits Fully remote working environment with global collaboration across distributed teams. Competitive compensation package aligned with experience, skills, and location. Annual compensation review and performance-based rewards. Personal learning and development budget to support continuous growth. Annual leave entitlement and parental leave support. Employee assistance programs and wellbeing initiatives. Opportunities to travel and meet global teams at company events and sprints. Recognition programs and rewards for contributions and achievements. Inclusive, international culture focused on collaboration, learning, and excellence. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Marketing Automation Manager. Skills: Marketing automation, CRM, Lifecycle marketing, Data analysis. Design, build, and optimize advanced lifecycle marketing journeys. Develop and maintain scalable marketing automation workflows", "postedDate" : "2026-06-12T04:46:06.256", "createdAt" : "2026-06-12T04:46:06.256", "lastUpdated" : "2026-06-16T00:03:46.589", "ingestTimestamp" : "2026-06-14T22:03:35.541", "mongoId" : "6a2cb21074d8ee00a09dfc69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Marketing automation", "Workflow design", "Lead scoring", "Data integration", "Performance metrics", "CRM", "Lifecycle marketing", "Data analysis", "CRM operations", "Lead generation", "Lead nurturing", "Segmentation strategies", "Marketing technology", "B2B marketing", "Technology marketing", "Marketing automation best practices", "CRM data structures", "Lead generation funnels", "Marketo", "HubSpot", "Salesforce Marketing Cloud" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 709.4219, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad615", "title" : "Data Analytics Manager", "company" : "Hasbro", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:13:43.590", "fingerprint" : "259771a41afffa415d14f4530898ec10a1175559576952377e5c4e411be76c58", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249885009", "externalId" : "4249885009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "R, Python, SQL", "professionalSkills" : [ "Knowledge of and familiarity with games such as Magic: The Gathering." ], "hardSkillsList" : [ "R", "Python", "SQL" ], "softSkillsList" : [ "Self-directed, attention to detail" ], "hardSkills" : [ { "name" : "R", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed, attention to detail" } ], "majorSkills" : "Data Analysis, Team Leadership, SQL, R, Python", "majorSkillsList" : [ "Data Analysis, Team Leadership, SQL, R, Python" ], "coreResponsibilities" : "Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "postedDate" : "2026-06-14T18:44:24.507", "createdAt" : "2026-06-14T18:44:24.507", "lastUpdated" : "2026-06-15T10:13:43.590", "ingestTimestamp" : "2026-06-14T18:44:24.507", "mongoId" : "6a2ca3ba74d8ee00a09ad615", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "R", "Python", "SQL", "Self-directed, attention to detail", "Data Analysis, Team Leadership, SQL, R, Python", "Knowledge of and familiarity with games such as Magic: The Gathering.", "drive projects to completion", "prioritize stakeholder requests" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 703.14044, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4274d8ee00a08e2886", "title" : "AI & Automation Analyst", "company" : "Bolt Technology", "salary" : { "min" : 40000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI & Automation Analyst in Tallinn, Estonia, adjusted for mid-seniority and logistics industry." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "timestamp" : "2026-06-15T00:48:24.391", "fingerprint" : "f2a5367c9e00832dc023b90692ab904ad4119fe63f07fdac1521fbcc948d919d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8354849002?gh_jid=8354849002", "externalId" : "8354849002", "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "experienceMinYears" : 3, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "SQL, LLM", "professionalSkills" : [ "Operations", "BizOps", "Analytics" ], "hardSkillsList" : [ "Workflow automation", "Data analysis", "Reporting automation", "Compliance systems", "Quality systems", "Data pulls", "Performance management", "Workflow documentation", "Tool training", "Problem sizing", "Impact measurement", "Data insights" ], "hardSkills" : [ { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting automation", "level" : "intermediate" }, { "name" : "Compliance systems", "level" : "intermediate" }, { "name" : "Quality systems", "level" : "intermediate" }, { "name" : "Data pulls", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Workflow documentation", "level" : "intermediate" }, { "name" : "Tool training", "level" : "intermediate" }, { "name" : "Problem sizing", "level" : "intermediate" }, { "name" : "Impact measurement", "level" : "intermediate" }, { "name" : "Data insights", "level" : "intermediate" } ], "majorSkills" : "Automation, Analytics, AI tooling", "majorSkillsList" : [ "Automation", "Analytics", "AI tooling" ], "coreResponsibilities" : "Audit existing workflows, Quantify manual effort, Maintain opportunity pipeline, Track realised savings, Identify new opportunities, Automate operational reporting, Replace manual data pulls, Build compliance systems, Build quality systems, Design rules-based automation, Document workflows clearly, Deliver AI tooling training, Build with sustainability", "teamCollaboration" : "Central teams; Local teams; Across teams; Across time zones", "domainKnowledge" : "Marketplace operations; Logistics operations; AI deployment; LLM deployment; Courier compliance; Performance management", "domainList" : [ "marketplace-operations", "logistics-operations", "ai-deployment", "llm-deployment", "courier-compliance", "performance-management" ], "domainSpecificKnowledge" : [ "Marketplace operations", "Logistics operations", "AI deployment", "LLM deployment", "Courier compliance", "Performance management" ], "toolProficiency" : [ "n8n", "Make", "Zapier" ], "communicationSkills" : "Explain technical solutions; Write documentation; Train others", "documentationSkills" : "Document workflows", "innovationCreativity" : "Builder's mindset; Shipping and iterating", "problemSolvingSkills" : "Analytical instincts; Sizing problems; Measuring impact; Generating insights", "outcomesObjectives" : "Ranked by hours saved; Ranked by business impact; Automated reporting; Automated data pulls; Automated KPI scorecards; Surface outliers; Automated reminders; Automated blocking; Rolling score engines; Warning pipelines; Suspension pipelines", "qualificationsBasic" : "3–4+ years operations experience, 3–4+ years BizOps experience, 3–4+ years automation experience, 3–4+ years analytics experience, Hands-on building workflows, Hands-on running analysis, Built complex workflows, Maintained complex workflows, Working knowledge AI, Working knowledge LLM, SQL skills, Analytical instincts, Comfortable sizing problems, Comfortable measuring impact, Generate insights from data, Fluent in English", "qualificationsPreferred" : "Experience in marketplace, Experience in logistics, Experience in tech-forward environment, Explain technical solutions, Write clear documentation, Train others across teams, Train others across time zones", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We're looking for an AI you'll generate the insight. Define the AI you'll shape it. It involves auditing existing workflows, quantifying where manual effort is highest, and maintaining a structured pipeline of opportunities ranked by hours saved and business impact. Track realised savings and continuously identify new opportunities. Automate operational reporting. Replace manual data pulls with automated pipelines — weekly market performance packs, daily KPI scorecards with threshold-based alerting, and cross-market variance reports that surface outliers before leadership reviews. Build compliance and quality systems. Design rules-based automation for courier compliance (document expiry, automated reminders, threshold-based blocking) and performance management (rolling score engines, structured warning and suspension pipelines). Enable the team. Document all workflows clearly, deliver regular AI tooling training for central and local teams, and build with sustainability in mind. Your automations need to work when you're not watching them. About you: You have 3–4+ years of experience in operations, BizOps, automation, or analytics where you were hands-on building workflows AND running analysis, ideally in a marketplace, logistics, or tech-forward environment. You have deep, hands-on experience with automation platforms such as n8n, Make, or Zapier. You've built and maintained complex, multi-step workflows in production, not just prototypes. You have strong working knowledge of AI and LLM tooling, with real examples of operational deployment: classification, extraction, summarisation, or anomaly detection. You understand what these tools are good at and where they break. You have strong SQL skills and analytical instincts, are comfortable sizing problems, measuring impact, and generating insights from large datasets. You don't just automate; you think about what the data is telling you. You have a builder's mindset. You default to shipping and iterating rather than waiting for perfect specs, and you're energised by turning messy manual processes into clean systems. You have strong communication skills — able to explain technical solutions to non-technical stakeholders, write clear documentation, and train others across teams and time zones. Fluent in English. You enjoy bringing others along. You can sit with a teammate who's never used an AI tool before and leave them genuinely capable of using one, and you see this as core to the job, not a nice-to-have.. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "AI & Automation Analyst at Bolt Technology. Skills: Automation, Analytics, AI tooling. Audit existing workflows. Quantify manual effort", "postedDate" : "2026-06-12T21:58:09.900", "createdAt" : "2026-06-12T21:58:09.900", "lastUpdated" : "2026-06-15T00:48:24.391", "ingestTimestamp" : "2026-06-12T21:58:09.900", "mongoId" : "6a2c5e4274d8ee00a08e2886", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Workflow automation", "Data analysis", "Reporting automation", "Compliance systems", "Quality systems", "Data pulls", "Performance management", "Workflow documentation", "Tool training", "Problem sizing", "Impact measurement", "Data insights", "Automation", "Analytics", "AI tooling", "Operations", "BizOps", "Marketplace operations", "Logistics operations", "AI deployment", "LLM deployment", "Courier compliance", "n8n", "Make", "Zapier" ], "skillCount" : 25, "jobCategory" : "other", "jobSubcategory" : "data-analytics", "dataQualityScore" : 0.8888889, "_score" : 698.4338, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a222fc474d8ee00a0d922df", "title" : "Manager, Reporting, Advanced Analytics and Automation", "company" : "Manulife", "industry" : "Financial Services", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Financial Services in the Philippines, adjusted for Manager seniority and a large company size." }, "location" : "Philippines", "locations" : [ "Philippines" ], "timestamp" : "2026-06-05T12:47:05.775", "fingerprint" : "19721500d5f418da78e47f0018e009e80386b7ac8b2b4c733f2e1e6613e9aa1e", "source" : "workday", "language" : "en", "applyUrl" : "https://manulife.wd3.myworkdayjobs.com/MFCJH_Jobs/job/Quezon-City/Manager--Reporting--Advanced-Analytics-and-Automation_JR26020668", "externalId" : "JR26020668", "industryFunction" : { }, "locationPoint" : "12.8797,121.774", "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "hybrid" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Power BI, Power Platform, PowerApps, PowerAutomate, Python, R, Azure, Databricks", "professionalSkills" : [ "Risk management", "Data analysis", "Data clean-up", "Data validation", "Report generation", "Process automation", "Dashboard development", "Tool app development", "Financial risk analysis" ], "hardSkillsList" : [ "Data processing", "Data interpretation", "Data modeling", "ETL processes", "Report automation", "Process improvement", "Data ingestion", "Data clean-up", "Data validation", "Metrics accuracy" ], "softSkillsList" : [ "Tact", "Diplomacy" ], "hardSkills" : [ { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Report automation", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data clean-up", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Metrics accuracy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Tact" }, { "name" : "Diplomacy" } ], "majorSkills" : "Advanced Analytics, Reporting, Automation, Risk Management", "majorSkillsList" : [ "Advanced Analytics", "Reporting", "Automation", "Risk Management" ], "coreResponsibilities" : "Deliver ongoing analysis, Deliver reporting, Automate required processes, Prepare data and reporting, Work with GenAI, Work with Analytics group, Automate reports, Handle ad-hoc requests, Prepare US Segment reporting, Prepare regulatory reporting, Own Risk-specific sections, Coordinate with contributors, Facilitate US Risk Committee operations, Maintain Risk policy, Maintain Risk standard, Review records retention, Review records access, Automate US Segment reporting, Lead automation of processes, Collect data across enterprise, Analyze data across enterprise, Monitor automated systems, Optimize automated systems, Provide training on automated systems, Identify opportunities for automation, Identify opportunities for process improvements, Support delivery of machine learning projects, Support delivery of large language model projects, Support delivery of analytics projects, Provide support on data ingestion, Provide support on data clean-up, Provide support on data mapping, Perform data analysis, Perform data clean-up, Perform data validation, Create reports, Maintain reports, Create dashboards, Maintain dashboards, Identify opportunities for efficiencies, Assist in testing data, Assist in cleaning data, Assist in preparing data, Assist in generation of reports, Ensure accuracy in metrics, Document processes, Document procedures, Document project work, Document ad hoc requests", "teamCollaboration" : "Work with GenAI; Work with Analytics group; Coordination with key contributors; Support Risk and Technology Tooling team", "projectManagementSkills" : [ "Roadmap development", "Roadmap execution" ], "domainKnowledge" : "Financial services; Insurance; Operational risk management; Risk management", "domainList" : [ "financial-services", "insurance", "operational-risk-management", "risk-management" ], "domainSpecificKnowledge" : [ "Financial services", "Insurance", "Operational risk management", "Risk management" ], "toolProficiency" : [ "Power BI", "Power Platform", "PowerApps", "PowerAutomate", "Azure", "Databricks" ], "communicationSkills" : "Executive reporting; Board reporting", "documentationSkills" : "Documenting processes; Documenting procedures; Documenting project work; Documenting ad hoc requests", "continuousLearning" : "Learn and grow career", "problemSolvingSkills" : "Process improvements", "qualificationsBasic" : "Knowledgeable in financial services, Knowledgeable in insurance, Knowledgeable in operational risk management, Proficient in Power BI, Proficient in Power Platform, Skilled in dashboard design, Experience in big data analysis, Expertise in statistical software, Experience in automating data processes, Experience implementing digital solutions, Knowledgeable in database schemas, Knowledgeable in data modeling, Knowledgeable in ETL processes, Reporting skills, Attention to detail, Ability to work under tight deadlines, Highly organized individual, Time management skills, Organizational skills, Ability to learn quickly, Comfortable with adjusting to ad-hoc changes", "qualificationsPreferred" : "UI/UX focus in dashboard design, Experience with Azure, Experience with Databricks, Experience with Python, Experience with R, Experience with risk management tools, Experience with machine learning, Experience with large language models, Experience with analytics projects", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Manager, Reporting, Advanced Analytics and Automation (MBPS)** Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations. **Description** The **Manager, Reporting, Advanced Analytics and Automation** will report to the Director, Reporting, Advanced Analytics and Automation in Global Risk Intelligence and Technology (GRIT) function, supporting US Segment mission and vision. The role will be responsible for delivering various functional capabilities including but not limited to analytics, reporting, automation, dashboard, tool app development, and other related risk management activities, as well as supporting the development and execution of the relevant roadmaps and plans for the function. This job description does not represent a comprehensive listing of job duties that are required of the employee performing this role. We reserve the right to change duties or assign additional duties at any time with or without notice. **Key Responsibilities** The incumbent's role will be to deliver ongoing analysis, reporting, and automating required processes. This includes data and reporting preparation, working with GenAI and Analytics group, ongoing automation of reports and other ad-hoc requests for delivery to the Company’s Chief Risk Officer, executive and Board risk committees required analytics and reporting. **Key Responsibilities:** * Preparation of monthly, quarterly, and annual US Segment related reporting for the Company’s Chief Risk Officer, executive, and Board risk committees. * Preparation of annual regulatory reporting including ownership of Risk-specific sections and coordination with key contributors outside of Risk. * Facilitate US Risk Committee operations, Risk policy and standard maintenance, and records retention/access reviews. * Automation of monthly, quarterly, and annual US Segment related reporting within the intelligence function. * Lead the automation of processes for collecting and analyzing data across the enterprise, ensuring accuracy and efficiency. * Monitor, optimize, and provide training on automated systems, while identifying opportunities for further automation and process improvements. * Supporting the delivery of machine learning, large language model and other related analytics projects within US Segment. * Provide support to Risk and Technology Tooling team on data ingestion, clean-up, mapping etc. (e.g., data analysis, data clean-up, validation, creating and maintenance of reports and dashboards) * Identifying opportunities for creating efficiencies within reporting framework and processes. * Assist in testing, cleaning, and preparing data for reporting readiness. * Assist in the generation of reports and ensuring accuracy in the metrics being reported. * Assist with documenting processes, procedures, project work and ad hoc request as required. **Qualifications:** * Knowledgeable in financial services, insurance, and operational risk management. * Proficient in Power BI and Power Platform (particularly PowerApps, PowerAutomate) for creating interactive dashboards, automating workflows, and developing custom applications. * Skilled in dashboard design with a focus on UI/UX. * Experience in big data analysis, including the use of Azure and Databricks to process and interpret large datasets. * Expertise in statistical software (e.g., Python, R) and risk management tools, along with experience in automating data processes and implementing digital solutions. * Knowledgeable in database schemas, data modeling, and ETL processes. * Strong reporting skills, with attention to detail and the ability to work under tight deadlines, ensuring precise and accurate financial risk analysis. * Highly organized individual with strong time management and organizational skills. * Self-starter with the ability to work independently. * Excellent collaborative and relationship building skills; showing tact and diplomacy in dealing with others. * Ability to learn quickly and be comfortable with adjusting to ad-hoc changes in workflow. _**When you join our team:**_ * We’ll empower you to learn and grow the career you want. * We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. * As part of our global team, we’ll support you in shaping the future you want to see. **About Manulife and John Hancock** Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit [_https://www.manulife.com/en/about/our-story.html_](https://www.manulife.com/en/about/our-story.html). **Manulife is an Equal Opportunity Employer** At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [_hr @manulife.com_](mailto:hr@manulife.com). **Working Arrangement** Hybrid", "summaryDescription" : "Manager, Reporting, Advanced Analytics and Automation at Manulife. Skills: Advanced Analytics, Reporting, Automation, Risk Management. Deliver ongoing analysis. Deliver reporting", "postedDate" : "2026-06-03T05:43:20.925", "createdAt" : "2026-06-05T05:43:20.913", "lastUpdated" : "2026-06-05T12:47:05.775", "ingestTimestamp" : "2026-06-05T05:43:20.913", "mongoId" : "6a222fc474d8ee00a0d922df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://manulife.wd3.myworkdayjobs.com/MFCJH_Jobs/job/Quezon-City/Manager--Reporting--Advanced-Analytics-and-Automation_JR26020668", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data processing", "Data interpretation", "Data modeling", "ETL processes", "Report automation", "Process improvement", "Data ingestion", "Data clean-up", "Data validation", "Metrics accuracy", "Tact", "Diplomacy", "Advanced Analytics", "Reporting", "Automation", "Risk Management", "Risk management", "Data analysis", "Report generation", "Process automation", "Dashboard development", "Tool app development", "Financial risk analysis", "Roadmap development", "Roadmap execution", "Financial services", "Insurance", "Operational risk management", "Power BI", "Power Platform", "PowerApps", "PowerAutomate", "Azure", "Databricks" ], "skillCount" : 34, "jobCategory" : "other", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "_score" : 695.74164, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "6a2c5e4274d8ee00a08e28b1", "title" : "Data Analytics Manager", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics Manager in Tallinn, Estonia, adjusted for manager seniority and technology industry." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T00:12:40.133", "fingerprint" : "f595a5ea5e7db2de4bf5212e4e1e675a377b8035f36dc089f445f210cee16345", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8568325002?gh_jid=8568325002", "externalId" : "8568325002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Billing processes", "Financial data", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines" ], "hardSkillsList" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building" ], "softSkillsList" : [ "Leadership", "Intelligence", "Integrity" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Financial reconciliation", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Process building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Intelligence" }, { "name" : "Integrity" } ], "majorSkills" : "Data analytics, Billing systems, Financial data", "majorSkillsList" : [ "Data analytics", "Billing systems", "Financial data" ], "coreResponsibilities" : "Lead and develop a team of analysts, Set high technical standards, Coach analysts toward senior-level thinking, Own reliability and integrity of billing data models, Own reporting foundations, Own financial datasets, Serve as go-to person for finance data topics, Handle complex data requests, Drive platform-level regulatory reporting, Ensure billing data stays compliant, Build structured operational processes, Design models, Set technical standards, Solve production data reconciliation problems", "teamCollaboration" : "Work across Finance; Work across Fraud; Work across Payments; Work across Compliance; Work across Product; Work across Operations; Work with product teams; Work with engineering teams", "projectManagementSkills" : [ "Prioritisation frameworks" ], "domainKnowledge" : "Financial data; Billing systems; Regulatory reporting; Tax rules; Pricing logic; Product lines", "domainList" : [ "financial-data", "billing-systems", "regulatory-reporting", "tax-rules", "pricing-logic", "product-lines" ], "domainSpecificKnowledge" : [ "Financial data", "Billing systems", "Regulatory reporting", "Tax rules", "Pricing logic", "Product lines" ], "toolProficiency" : [ "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Accelerate professional growth; Unique career opportunities", "problemSolvingSkills" : "Problem structuring", "outcomesObjectives" : "Scale and improve billing processes; Make marketplace finances legible; Make marketplace finances trustworthy; Make marketplace finances actionable", "qualificationsBasic" : "Technical depth in SQL, Data modelling experience, Experience with financial data, Formal management experience a plus", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for an experienced Data Analytics Manager to join our Commerce team and help us scale and improve our billing processes across 50+ countries. About us Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen! About the role At our core, we enable commerce – and behind every transaction on our platform sits a complex web of financial data that needs to be accurate, compliant, and available to the people who depend on it. We're building the analytical foundations that make marketplace finances legible, trustworthy, and actionable at scale. As a Data Analytics Manager in Billing, you'll own the team responsible for making sense of how money moves through our platform. From marketplace financial data that powers decisions across the company, to platform-level metrics that measure operational health, to complex regulatory reporting like DAC7 – your team is the one others turn to when they need the numbers to be right. This is a hands-on leadership role. You'll manage a small team of analysts while still getting deep into the data yourself – designing models, setting technical standards, and solving the kinds of problems where production data needs to reconcile down to the cent with financial records. You'll work across Finance, Fraud, Payments, Compliance, Product, and Operations, often under pressure and with competing priorities. It's a role for someone who thrives in high-stakes, compliance-heavy environments and knows how to bring structure to chaos without losing speed. You'll sit in the Billing group within Commerce, alongside product and engineering teams building the systems your data describes. Your daily adventures will include: Leading and developing a team of analysts, setting high technical standards and coaching them toward senior-level thinking – not just in SQL, but in how to approach problems. Owning the reliability and integrity of billing-related data models, reporting foundations, and financial datasets used across the company. Serving as the go-to person for finance-related data topics across Commerce – tax reporting, payout reconciliation, audits, and financial investigations all land on your desk. Handling complex data requests from internal stakeholders (Finance, Ops, Product) and external counterparties, often with tight deadlines and high expectations. Driving platform-level regulatory reporting (e. g. DAC7) and ensuring billing data stays compliant as tax rules, pricing logic, and product lines evolve. Building structured operational processes – clear SLAs, prioritisation frameworks, and support workflows – so the team can deliver reliably without firefighting. About you: You have strong technical depth in SQL and data modelling, and you're recent enough with it to coach others and review their work critically. You've worked with financial data before – you know what an invoice is, you've chased cents across systems, and you understand what it means to map production data to financial records. You can handle noisy, high-pressure stakeholder environments where the deadline was yesterday and everyone's ask feels urgent. You've led projects or teams before – formal management experience is a plus, but what matters most is that you can set direction, uplift people, and hold a high bar. You think structurally about problems: you'd rather build the right data model than answer the same ad-hoc question three times. You're comfortable operating at the intersection of data, finance, and compliance – and you don't need someone to translate between those worlds for you. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50 countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location. #LI-Hybrid", "summaryDescription" : "Data Analytics Manager at Bolt Technology. Skills: Data analytics, Billing systems, Financial data. Lead and develop a team of analysts. Set high technical standards", "postedDate" : "2026-06-12T21:44:00.837", "createdAt" : "2026-06-12T21:44:00.837", "lastUpdated" : "2026-06-15T00:12:40.133", "ingestTimestamp" : "2026-06-12T21:44:00.837", "mongoId" : "6a2c5e4274d8ee00a08e28b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building", "Leadership", "Intelligence", "Integrity", "Data analytics", "Billing systems", "Financial data", "Billing processes", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines", "Prioritisation frameworks", "Tax rules", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "skillCount" : 41, "jobCategory" : "other", "jobSubcategory" : "data-analytics", "dataQualityScore" : 0.8888889, "_score" : 695.5324, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69c94a789bc74574cbbb413a", "title" : "Finance Manager, Data Analytics, Global Data Analytics (GDA), Finance Operations", "company" : "Amazon /Slovakia/ s. r. o.", "industry" : "Finance Accounting, Planning/Development, finance", "salary" : { "min" : 3200.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bratislava, Bratislavský kraj, SVK", "locations" : [ "Bratislava, Bratislavský kraj, SVK" ], "timestamp" : "2026-06-14T22:29:07.388", "fingerprint" : "3bf94f349978ebd976c6bf5b676a18eeed020af406a42c03411d11aa5baf6b33", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3193011/apply", "externalId" : "be9234cc-27fa-49b2-a9c0-37f9b6534fd6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bratislava", "state" : "Bratislavský kraj", "country" : "Slovakia", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1516988,17.1093063" } ], "locationText" : "Bratislava, Bratislavský kraj, Slovakia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, QuickSight, Excel", "professionalSkills" : [ "Financial modeling", "Scenario analysis", "Data-driven business analysis", "KPI development", "Business process", "Metric governance" ], "hardSkillsList" : [ "Data analytics", "Financial analysis", "Reporting", "Querying", "Data visualization" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Querying", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Financial Reporting, Business Partnering", "majorSkillsList" : [ "Data Analytics", "Financial Reporting", "Business Partnering" ], "coreResponsibilities" : "Business partner with Accounts Receivable and Accounts Payable, Identify, plan and execute on analytical opportunities, Enable identification and reduction of transactional defects, Proactively perform advanced analytics and financial analysis, Support the BTS region with specific reporting requirements, Own the FinOps GDA Retail AR and AP, Use QuickSight/SQL to deliver valuable insights, Invent and simplify, Business partner with stakeholders to align, document, and, Participate in cross-team knowledge sharing, Create queries and reporting on-demand, Develop solutions using low code Quick capabilities, Develop AI literacy among business stakeholders, Build high-performing analytics products, Work backwards to enhance metric governance, Identify and action finance analytical opportunities, Leverage data to build compelling business cases, Obsess over Customers, Partner with them throughout business review mechanisms, Provide subject matter expertise to identify opportunities for", "teamCollaboration" : "Cross-team knowledge sharing; Business partner with stakeholders; Partner with senior business leaders", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Order to Cash; Procure to Pay; Accounts Receivable; Accounts Payable; Financial statements; Forecasting; Budgeting", "domainList" : [ "order-to-cash", "procure-to-pay", "accounts-receivable", "accounts-payable", "financial-statements", "forecasting", "budgeting" ], "domainSpecificKnowledge" : [ "Order to Cash", "Procure to Pay", "Accounts Receivable", "Accounts Payable", "Financial statements", "Forecasting", "Budgeting" ], "toolProficiency" : [ "Excel", "SQL", "QuickSight", "Tableau", "Power BI" ], "problemSolvingSkills" : "Identify anomalies; Resolve process defects; Improve business process", "outcomesObjectives" : "Reduce transactional defects; Improve business process; Drive data-backed decisions; Enhance metric governance; Build compelling business cases; Support fast decision making; Support goal measurement; Improve customer experience; Drive strategic decision-making; Drive operational excellence; Drive measurable business impact", "qualificationsBasic" : "Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Engineering, or related field, 7+ years of experience in finance, FP&A, business analytics, or related field, Experience owning end-to-end financial planning, reporting, and data-driven business analysis, Advanced proficiency in Excel (financial modeling, scenario analysis, large dataset manipulation), Experience using data visualization tools (e.g., Tableau, Power BI, QuickSight), Working knowledge of SQL or other data querying languages, Experience working with large, complex datasets across multiple systems, Understanding of financial statements, forecasting, budgeting, and KPI development, Experience partnering with senior business leaders to drive data-backed decisions, Demonstrated ability to manage multiple priorities in a fast-paced, global environment, SQL skills (Intermediate / Expert level)", "qualificationsPreferred" : "Finance Business Acumen, Experience in delivering automation solutions along with Data Analytics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Finance manager will be a part of the high-visibility, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. The GDA team are seeking an exceptionally talented and deeply focused Finance manager who can build reporting objects, and uses financial analytics to influence business outcomes. The role will develop analytical solutions that empower one of the world’s largest Account Receivables and Payables team to operate at scale, and resolve process defects. The role will navigate ambiguity to rapidly build their knowledge of Amazon’s “Order to Cash” and “Procure to Pay” processes (and their accompanying data sets) to become a trusted analytics partner for our 2,000+ business partners across Finance Operations Headquarters and Service Centers. Key job responsibilities - Business partner with Accounts Receivable and Accounts Payable leaders across Service Centers and Headquarters locations to identify, plan and execute on analytical opportunities that enable identification and reduction of transactional defects and work drivers, goal performance measurements, new business expansion health metrics, and operational analysis. - Proactively perform advanced analytics and financial analysis that support the business priorities work, identify anomalies, and improve business process. - Support the BTS region with specific reporting requirements. - Own the FinOps GDA Retail AR and AP development roadmap. - Use of QuickSight/SQL to deliver valuable insights, and invent and simplify. - Business partner with stakeholders to align, document, and govern metric definitions. - Participate in cross-team knowledge sharing. - Creating queries and reporting on-demand. - Develop solutions using low code Quick capabilities and develop AI literacy among business stakeholders. Base pay for this position starts from EUR 3.200+ gross per month and salary depends on the skills and requirements, there will be further pay components such as a sign on bonus and the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Company benefits apply subject to further terms, including annual membership in medical clinic, life insurance, retirement pension, meal voucher card, career development. A day in the life The Finance Manager will be in charge of building high-performing analytics products relying on SQL, Excel and QuickSight. The role will business partner across global Finance Operations to become an expert in core business processes, and will work backwards to enhance metric governance, identify and action finance analytical opportunities, and leverage data to build compelling business cases that influence our operations. SQL skills (Intermediate / Expert level) is a must to deliver on Job 1 in this role. Sr. FA will focus on ensuring customers adopt the right GDA products, enabling self service capabilities aligned to their use cases, and delivering high priority repeatable dashboards and analyses that support fast decision making, goal measurement, and improved customer experience. The Finance Manager will obsess over Customers, and partner with them throughout business review mechanisms and provide subject matter expertise to identify opportunities for analytics, automation, and GenAI solutions. About the team Global Data Analytics (GDA) is in charge of all the Finance Operations reporting across Amazon's businesses and geographies. GDA's mission is to be trusted and business-focused analytics partners, providing timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes. We focus on GenAI, advanced analytics, and intelligent automation to deliver trusted AI-augmented, data driven insights that drive strategic decision-making and operational excellence to support Business growth at scale, while ensuring high controllership and at lowest cost to Amazon. Our vision is to empower the world’s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes by providing timely, accurate, and AI-powered data insights, and automation across Service Centers and global functions—while enabling intuitive self-service analytics that empower customers to independently explore data, accelerate decisions, and drive measurable business impact. Basic Qualifications: - Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Engineering, or related field - 7+ years of experience in finance, FP&A, business analytics, or related field - Experience owning end-to-end financial planning, reporting, and data-driven business analysis - Advanced proficiency in Excel (financial modeling, scenario analysis, large dataset manipulation) - Experience using data visualization tools (e.g., Tableau, Power BI, QuickSight) - Working knowledge of SQL or other data querying languages - Experience working with large, complex datasets across multiple systems - Strong understanding of financial statements, forecasting, budgeting, and KPI development - Experience partnering with senior business leaders to drive data-backed decisions - Demonstrated ability to manage multiple priorities in a fast-paced, global environment - SQL & Creating Dashboards - - Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Engineering, or related field - - 7+ years of experience in finance, FP&A, business analytics, or related field - - Experience owning end-to-end financial planning, reporting, and data-driven business analysis - - Advanced proficiency in Excel (financial modeling, scenario analysis, large dataset manipulation) - - Experience using data visualization tools (e.g., Tableau, Power BI, QuickSight) - - Working knowledge of SQL or other data querying languages - - Experience working with large, complex datasets across multiple systems - - Strong understanding of financial statements, forecasting, budgeting, and KPI development - - Experience partnering with senior business leaders to drive data-backed decisions - - Demonstrated ability to manage multiple priorities in a fast-paced, global environment - - SQL & Creating Dashboards Preferred Qualifications: - Finance Business Acumen - Experience in delivering automation solutions along with Data Analytics Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Finance Manager, Data Analytics, Global Data Analytics (GDA), Finance Operations at Amazon /Slovakia/ s. r. o.. Skills: Data Analytics, Financial Reporting, Business Partnering. Business partner with Accounts Receivable and Accounts Payable. Identify, plan and execute on analytical opportunities", "postedDate" : "2026-06-13T03:52:50.585", "createdAt" : "2026-06-13T03:52:50.585", "lastUpdated" : "2026-06-14T22:29:07.388", "ingestTimestamp" : "2026-06-13T03:52:50.585", "mongoId" : "69c94a789bc74574cbbb413a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3193011/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Financial analysis", "Reporting", "Querying", "Data visualization", "Data Analytics", "Financial Reporting", "Business Partnering", "Financial modeling", "Scenario analysis", "Data-driven business analysis", "KPI development", "Business process", "Metric governance", "Roadmap development", "Order to Cash", "Procure to Pay", "Accounts Receivable", "Accounts Payable", "Financial statements", "Forecasting", "Budgeting", "Excel", "SQL", "QuickSight", "Tableau", "Power BI" ], "skillCount" : 27, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 691.05585, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance" }, { "id" : "69164d8970f0b99d586f266d", "title" : "Automation Engineer Manager", "company" : "Amazon.com Services LLC", "industry" : "Facilities, Maintenance, Real Estate, Ops Engineering, operations", "salary" : { "min" : 146500.0, "max" : 242200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cleburne, Texas, USA", "locations" : [ "Cleburne, Texas, USA" ], "certifications" : [ "Six Sigma Black Belt" ], "timestamp" : "2026-06-15T02:26:19.532", "fingerprint" : "ce29d0cbd740ffae2782b31b6742752eb950321249a6f3558d441297498e3f16", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3121746/apply", "externalId" : "e04ea865-60bf-4ef5-9d88-b4c24e3a0217", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cleburne", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.3474463,-97.3865494" } ], "locationText" : "Cleburne, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "PLC, SCADA, OEE, Ethernet, ControlNet, DeviceNet, Profibus, Siemens, Allen-Bradley, Codesys, Ladder Logic", "professionalSkills" : [ "Operational excellence", "Technical support", "Design optimization" ], "hardSkillsList" : [ "Analyze performance metrics", "PLC programming", "Automation engineering", "Industrial controls", "Process automation", "Robotics control systems", "Electrical theory", "Controls components" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Analyze performance metrics", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "Automation engineering", "level" : "intermediate" }, { "name" : "Industrial controls", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Robotics control systems", "level" : "intermediate" }, { "name" : "Electrical theory", "level" : "intermediate" }, { "name" : "Controls components", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Automation engineering, Controls automation, Equipment reliability, Operational excellence", "majorSkillsList" : [ "Automation engineering", "Controls automation", "Equipment reliability", "Operational excellence" ], "coreResponsibilities" : "Apply SME on troubleshooting, Dive deeps for engineering issues, Support automation engineers, Investigate root cause, Plan actions to eliminate/mitigate downtime, Program in-house built solutions, Source code for in-house built solutions, Understand material handling control systems, Maintain material handling control systems, Troubleshoot material handling control systems, Provide escalation support, Troubleshoot locally and remotely, Repair hardware or controls software, Establish training plans, Mentor automation engineers, Monitor team's work, Support team's work, Ensure effective troubleshooting, Ensure analysis of performance metrics, Guide leadership of continuous improvement projects, Ensure provision of mentorship", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Continuous improvement projects" ], "domainKnowledge" : "Robotics; Material handling equipment; Industrial networks; Motor control systems; Servo drives; Frequency drives; Electrical distribution systems; Conveyors; Sortation systems; Scanners; Cameras; Print and apply systems; SCADA devices", "domainList" : [ "robotics", "material-handling-equipment", "industrial-networks", "motor-control-systems", "servo-drives", "frequency-drives", "electrical-distribution-systems", "conveyors", "sortation-systems", "scanners", "cameras", "print-and-apply-systems", "scada-devices" ], "domainSpecificKnowledge" : [ "Robotics", "Material handling equipment", "Industrial networks", "Motor control systems", "Servo drives", "Frequency drives", "Electrical distribution systems", "Conveyors", "Sortation systems", "Scanners", "Cameras", "Print and apply systems", "SCADA devices" ], "toolProficiency" : [ "RSLogix5000", "Studio 5000", "FT View" ], "communicationSkills" : "Technical support", "continuousLearning" : "Training plans", "innovationCreativity" : "Design optimization", "problemSolvingSkills" : "Troubleshoot complex control systems; Root cause analysis; Issue diagnosis", "specialRequirements" : "After business hours support", "outcomesObjectives" : "Ensure customers receive orders with speed and accuracy; Build team capabilities; Drive operational excellence; Eliminate/mitigate downtime of critical assets; Ensure hardware or controls software is repaired on time", "qualificationsBasic" : "Bachelor's degree in Computer Science, Electrical Engineering, or Automation Engineering, or 7+ years of PLC programming or automation engineering experience, 7+ years of industrial controls and automation experience, 7+ years of process/production environment PLC-controlled automation and issue diagnosis experience, 7+ years of robotics work cells and control systems experience, 7+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience, 7+ years of electrical theory, robotics, controls components, and automated equipment experience", "qualificationsPreferred" : "Master's degree in Computer Science, Electrical Engineering, or Automation Engineering, Master's degree, or Six Sigma Black Belt, Experience maintaining, troubleshooting, programming, and designing HMI and control network components, Experience programming with RSLogix5000, Studio 5000, FT View, and other controls software platforms, Experience leading Controls in manufacturing or complex industrial environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Operations is at the heart of Amazon’s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all of the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As the Automation Engineer Manager, you will lead a team in driving equipment reliability and operational excellence across our fulfillment centers. You’ll monitor and support their work in controls automation and technical support while ensuring they effectively troubleshoot complex control systems and analyze performance metrics. You’ll guide their leadership of continuous improvement projects and ensure they provide mentorship to junior engineers. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and Supervisory Control and Data Acquisition (SCADA) devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there’s more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues, supporting automation engineers to investigate the root cause and planning actions to eliminate/mitigate the downtime of critical assets - You will program and source code for in-house built solutions based in PLC or PC controllers and SCADA/OEE platforms - You will understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - You will provide escalation support to automation engineers, during and after business hours, troubleshooting locally and remotely, to ensure that all hardware or controls software within the building is repaired on time - You will establish training plans and mentor a team of automation engineers Basic Qualifications: - Bachelor's degree in Computer Science, Electrical Engineering, or Automation Engineering, or 7+ years of PLC programming or automation engineering experience - 7+ years of industrial controls and automation experience - 7+ years of process/production environment PLC-controlled automation and issue diagnosis experience - 7+ years of robotics work cells and control systems experience - 7+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 7+ years of electrical theory, robotics, controls components, and automated equipment experience Preferred Qualifications: - Master's degree in Computer Science, Electrical Engineering, or Automation Engineering - Master's degree, or Six Sigma Black Belt - Experience maintaining, troubleshooting, programming, and designing HMI and control network components - Experience programming with RSLogix5000, Studio 5000, FT View, and other controls software platforms - Experience leading Controls in manufacturing or complex industrial environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $146,500/year in our lowest geographic market up to $242,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Automation Engineer Manager at Amazon.com Services LLC. Skills: Automation engineering, Controls automation, Equipment reliability, Operational excellence. Apply SME on troubleshooting. 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