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Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day. Our dedication has earned us the title of the world's best leisure airline multiple times, and we’re just getting started. Want to join us? You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in a modern, inspiring environment. * Coordinate end-to-end marketing campaigns for Air Transat and Transat Tours Canada, from planning through launch * Develop, structure, and manage campaign plans, timelines, deliverables, and dependencies * Coordinate campaign execution across paid, owned, website, mobile app, and partner channels * Support the development and execution of clear, high-quality campaign briefs and translate campaign objectives into actionable plans * Act as the central point of coordination between Marketing, Revenue Management, Commercial, CRM, Web, Creative, Product, Contact Center, Legal teams, and external agencies * Facilitate campaign planning meetings, status updates, and launch reviews. * Ensure full campaign readiness before launch (content, offers, CRM, website, contact center, etc.) and compliance with processes, approvals, and quality standards * Monitor campaign progress, anticipate risks, manage issues, and escalate when necessary * Maintain an integrated campaign calendar and ensure visibility and prioritization across the organization * Identify resource conflicts, timing challenges, and capacity constraints in collaboration with teams * Establish and maintain campaign processes, tools, checklists, and governance practices * Coordinate post-campaign reviews, capture learnings, and support continuous improvement ## Qualifications * Bachelor’s degree in marketing, communications, business administration, project management, or a related field * Minimum of 3 years of experience in campaign management, integrated marketing, marketing operations, or project management in a multidisciplinary environment * Experience coordinating complex, multichannel marketing campaigns * Strong project management, organization, and stakeholder coordination skills * Ability to manage multiple priorities simultaneously with structure and attention to detail * Excellent communication, collaboration, and meeting facilitation skills * Experience working with external agencies and cross-functional teams, with a strong focus on continuous improvement * Strong proficiency in MS Office (Word, Excel, Outlook, Teams) and demonstrated ease with collaborative digital tools and AI (e.g., Copilot) * Ability to quickly learn and adapt to new technologies Fluency in spoken and written French and English *A strong command of French is required for positions in Quebec. The individual will need to communicate frequently in English, both verbally and in writing, with colleagues, clients, and other stakeholders in Quebec and internationally. ## Additional Information Artificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process. Employment Equity At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. 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Collaborate with cross-functional stakeholders", "domainKnowledge" : "B2B environments; GTM tools; Intent tools", "domainList" : [ "b2b-environments", "gtm-tools", "intent-tools" ], "domainSpecificKnowledge" : [ "B2B environments", "GTM tools", "Intent tools" ], "toolProficiency" : [ "Marketo", "Salesforce", "6sense", "MadKudu", "AdRoll" ], "communicationSkills" : "Data-driven decision-making", "documentationSkills" : "Documentation", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Actionable insights; Clear narratives", "outcomesObjectives" : "Drive progression through the funnel; Improve conversion performance", "qualificationsBasic" : "5+ years of experience in marketing operations, campaign operations, or a related marketing analytics role, Deep hands-on expertise with Marketo, Proven experience running full-cycle campaign execution in partnership with demand generation teams across B2B environments, Background in marketing attribution and analytics, Working knowledge of Salesforce and how it integrates with marketing automation platforms, Experience designing and managing nurture and lifecycle marketing programs, Analytical mindset with the ability to turn complex data into actionable insights and clear narratives, A builder mentality with experience improving systems, automating processes, and scaling marketing operations, Excellent communication skills with a focus on clarity, accuracy, and data-driven decision-making", "qualificationsPreferred" : "Familiarity with modern GTM and intent tools (e.g., 6sense, MadKudu, AdRoll)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own end-to-end marketing campaign and email operations, partnering closely with demand generation to plan, build, launch, and optimize campaigns across prospect and customer audiences. Design, implement, and maintain nurture and lifecycle programs that drive progression through the funnel and improve conversion performance. Lead marketing attribution, channel mapping, and performance reporting, including funnel, pipeline, and ROI analysis with strong data governance practices. Build and maintain scalable reporting frameworks that ensure consistency, accuracy, and trust in marketing performance data across systems. Support field and event marketing execution by creating landing pages, forms, email programs, and campaign assets. Maintain and optimize the marketing technology stack, including Marketo, Salesforce, and connected systems, ensuring clean integrations and reliable data flow. Develop internal tooling, documentation, and enablement resources to improve self-service capabilities across the marketing organization. Collaborate with cross-functional stakeholders to continuously improve campaign performance, data quality, and operational efficiency. Requirements: 5+ years of experience in marketing operations, campaign operations, or a related marketing analytics role. Deep hands-on expertise with Marketo, including smart campaigns, programs, forms, landing pages, email operations, and platform administration. Proven experience running full-cycle campaign execution in partnership with demand generation teams across B2B environments. Strong background in marketing attribution and analytics, including funnel reporting, pipeline analysis, and multi-touch attribution methodologies. Working knowledge of Salesforce and how it integrates with marketing automation platforms. Experience designing and managing nurture and lifecycle marketing programs. Familiarity with modern GTM and intent tools (e.g., 6sense, MadKudu, AdRoll) and how they support targeting and scoring. Strong analytical mindset with the ability to turn complex data into actionable insights and clear narratives. A builder mentality with experience improving systems, automating processes, and scaling marketing operations. Excellent communication skills with a focus on clarity, accuracy, and data-driven decision-making. Benefits: Competitive base salary with additional bonus and equity eligibility, depending on role structure. Comprehensive healthcare coverage including medical, dental, and vision insurance. 401(k) retirement plan with employer contributions. Flexible PTO policy supporting work-life balance. Parental leave benefits. Fully remote-friendly work environment. Wellness, learning, and development support programs. Opportunity to work in a high-growth cybersecurity environment focused on innovation and impact. ## 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 Campaign Operations & Analytics Manager. Skills: Campaign operations, Marketing analytics, Marketo, Salesforce. Own end-to-end marketing campaign and email operations. 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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" : 902.32684, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c93eb74d8ee00a0989441", "title" : "Staff Marketing Analytics", "company" : "SolarWinds", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Marketing Analytics role in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin Office", "locations" : [ "Austin Office" ], "timestamp" : "2026-06-15T23:02:35.510", "fingerprint" : "8bb02cccaf03748c96e63226413958bfdd8bf78ac3831652d99379a72c690f1e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.solarwinds.com/job-detail/?gh_jid=4572021005&gh_jid=4572021005", "externalId" : "4572021005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Marketing analytics", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling" ], "hardSkillsList" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Marketing analytics, Data visualization, Statistical modeling, Machine learning", "majorSkillsList" : [ "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning" ], "coreResponsibilities" : "Develop and maintain marketing analytics dashboards, Analyze marketing campaign performance, Design and execute A/B tests, Provide insights and recommendations to marketing teams, Collaborate with data engineering to ensure data quality, Build predictive models for customer behavior, Stay updated on industry trends and best practices", "teamCollaboration" : "Marketing teams; Data engineering", "domainKnowledge" : "Marketing analytics; Customer behavior; Campaign performance", "domainList" : [ "marketing-analytics", "customer-behavior", "campaign-performance" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer behavior", "Campaign performance" ], "toolProficiency" : [ "SQL", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Data storytelling; Executive presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Improve marketing ROI; Optimize campaign spend; Enhance customer segmentation", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proficiency in SQL, Experience with data visualization tools, Experience with A/B testing", "qualificationsPreferred" : "Master's degree preferred, Experience with Python or R, Experience with statistical modeling, Experience with cloud data platforms, Experience with ML frameworks", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! Role Summary SolarWinds, a leader in IT management software, is seeking a Staff Marketing Analytics professional to join our Marketing Analytics team. This highly visible role partners closely with senior marketing leaders to translate complex data into actionable business strategies that drive growth and optimize marketing performance. The ideal candidate combines deep marketing analytics expertise with strong executive presence, business acumen, and intellectual curiosity. Success in this role requires the ability to influence cross-functional stakeholders, present insights with clarity to leadership audiences, and connect analytical findings to strategic business outcomes. Location: Austin, TX (3 days in office) Relocation assistance is not available for this role. Key Responsibilities Partner with marketing leadership to evaluate weekly and monthly performance against company objectives, identify trends, and recommend actions to improve results. Serve as a strategic thought partner to senior stakeholders by translating data into clear business insights and executive-ready recommendations. Identify critical business data needs and convert them into well-defined requirements for analytics and data engineering teams to develop scalable solutions. Analyze customer behavior and marketing performance across the full funnel by combining data from platforms such as Adobe Analytics, Marketo, Salesforce, and Tableau. Drive continuous improvement of Conversion Rate Optimization (CRO) initiatives through A/B test measurement, experiment analysis, and data-driven recommendations. Conduct ad hoc analyses and deep dives to uncover opportunities, risks, and strategic insights. Present complex analytical findings to both technical and non-technical audiences, tailoring recommendations appropriately for executives, marketers, and cross-functional partners. Influence decision-making by balancing analytical rigor with practical business considerations. Required Qualifications 5+ years of experience in marketing analytics with demonstrated impact on business performance. Deep understanding of marketing analytics, including: Data capture and integration across marketing technologies, Attribution and ROI measurement, Performance reporting, Translating analytical outputs into business recommendations. Proven experience partnering with senior leaders and cross-functional stakeholders, with the confidence and executive presence to influence decisions. Strong business acumen and intellectual curiosity, with the ability to ask thoughtful questions and connect analytics to broader organizational goals. Exceptional communication and storytelling skills, including experience presenting insights and recommendations to executive audiences. Minimum 2 years of recent experience with Tableau, Power BI, or comparable visualization tools. Minimum 2 years of recent experience with Adobe Analytics, Google Analytics, or similar web analytics platforms. Strong analytical and problem-solving skills with experience using SQL, Python, R, or comparable tools for data exploration and analysis. SQL preferred. Excellent attention to detail, documentation practices, data validation, and self-audit capabilities. Preferred Strong executive presence and polished communication skills. Experience influencing and partnering with senior leadership teams. The ability to synthesize complex analyses into clear, actionable recommendations. Solid business judgment and comfort navigating cross-functional environments. Intellectual curiosity and a proactive approach to uncovering opportunities through data. A consultative mindset focused on driving outcomes, not simply reporting metrics. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Staff Marketing Analytics at SolarWinds. Skills: Marketing analytics, Data visualization, Statistical modeling, Machine learning. Develop and maintain marketing analytics dashboards. Analyze marketing campaign performance", "postedDate" : "2026-06-14T20:13:46.732", "createdAt" : "2026-06-14T20:13:46.732", "lastUpdated" : "2026-06-15T23:02:35.510", "ingestTimestamp" : "2026-06-14T20:13:46.732", "mongoId" : "6a2c93eb74d8ee00a0989441", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling", "Customer behavior", "Campaign performance", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 898.3591, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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. 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Campinas, Brazil; Rio de Janeiro, Brazil; Belo Horizonte, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data intelligence", "professionalSkills" : [ "Technical leadership", "Platform design", "Roadmap shaping", "Architectural choices", "Engineering standards", "Data-driven decision making", "Stakeholder management", "Dependency management", "Problem framing", "Alignment driving" ], "hardSkillsList" : [ "System design", "Architecture design" ], "hardSkills" : [ { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" } ], "majorSkills" : "Marketing platforms, Audience manager, Website platform, Campaign manager", "majorSkillsList" : [ "Marketing platforms", "Audience manager", "Website platform", "Campaign manager" ], "coreResponsibilities" : "Design large-scale marketing platforms, Evolve large-scale marketing platforms, Operate across multiple channels, Operate across multiple markets, Partner Audience Manager squad, Partner Website Platform squad, Partner Campaign Manager squad, Define technical direction, Shape roadmaps, Ensure platforms work together, Translate growth strategy architecture, Translate brand strategy architecture, Turn audience needs architecture, Turn campaign needs architecture, Turn website needs architecture, Set architectural direction, Lead design reviews, Evolve engineering standards, Mentor engineers, Mentor tech leads, Design observable systems, Design debuggable systems, Design experimentation-friendly systems, Support data-driven decision making, Navigate complex stakeholder landscapes, Collaborate Product Data Design Marketing, Align priorities, Manage dependencies, Keep interfaces healthy, Frame ambiguous problems options, Drive alignment communication", "teamCollaboration" : "Cross-functional teams; 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RFCs; Design sessions; Presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Learning platform", "problemSolvingSkills" : "Problem framing; Root cause analysis", "outcomesObjectives" : "Empower people; Redefine financial services; Acquire customers; Engage customers; Retain customers; Platform decisions affect growth; Platform decisions affect brand", "qualificationsBasic" : "Solid experience Staff-level engineer, Designing large-scale platforms, Data-intensive platforms experience, Marketing technology experience, Experimentation platforms experience, Audience/identity platforms experience, Web platforms experience, Work end-to-end multi-product stack, Partner with several squads, Connect product strategy platform design, Growth objectives architectural choices, Brand objectives architectural choices, Audience architectural choices, Campaign orchestration architectural choices, Website capabilities architectural choices, Technical leadership skills, Setting architectural direction, Driving design reviews, Evolving engineering standards, Mentoring senior engineers, Mentoring tech leaders, Experience experimentation data-driven decision making, Designing observable systems, Designing instrumented systems, Designing easy to reason systems, Navigate complex stakeholder environments, Collaborate Product Data Design Marketing, Align priorities manage dependencies, Comfort high-visibility cross-impact domains, High tolerance ambiguity, Frame complex problems clear options, Drive alignment structured communication", "qualificationsPreferred" : "Background growth martech platforms, Background CRM platforms, Experience multi-country environments, Experience multi-brand environments, Customer data platforms experience, Journey orchestration experience, Experimentation platforms experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Staff Software Engineer – Marketing Platforms About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and beyond — and this is still just the beginning of the purple future we’re building. We combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Learn more at: https://international.nubank.com.br/careers/ About the role The Marketing Platforms area, inside our Growth Platforms BU, is responsible for enabling Nubank’s growth engine across owned and paid channels. This includes our public websites (BR, MX, CO and future markets), the Audience Manager platform (how we build, govern and activate audiences for campaigns and experiments), and Campaign Manager / orchestration capabilities that connect messages, audiences and channels into coherent customer journeys at scale. As a Staff Software Engineer – Marketing Platforms , you will be a senior technical leader working across this ecosystem: defining architecture and technical direction, ensuring that Audience Manager, Website Platform and Campaign Manager evolve as a cohesive platform, and directly influencing how Nubank acquires, engages and retains customers across countries. You’ll be responsible for Designing and evolving large-scale, data-intensive marketing platforms, in domains such as martech, experimentation, audience/identity and web platforms, operating across multiple channels and markets. Working end-to-end across the Marketing Platforms stack, partnering with Audience Manager, Website Platform and Campaign Manager squads to define technical direction, shape roadmaps and ensure these platforms work together as a cohesive ecosystem. Translating growth and brand strategy into platform architecture, turning audience, campaign and website needs into clear architectural choices and explicit trade-offs with a long-term view. Providing strong technical leadership: setting architectural direction, leading design reviews, evolving engineering standards and mentoring engineers and tech leads across multiple squads. Helping teams design systems that are observable, debuggable and experimentation-friendly, supporting data-driven decision making in how we run campaigns and optimize journeys. Navigating complex stakeholder landscapes, collaborating with Product, Data, Design, Marketing and other platform teams to align priorities, manage dependencies and keep interfaces between systems healthy over time. Operating in high-visibility, cross-impact areas, where platform decisions directly affect Nubank’s growth, brand presence and audience activation across BR, MX, CO and future geos. Framing ambiguous problems into clear options, and driving alignment through well-structured communication (technical docs, RFCs, design sessions and presentations). We are looking for a person who has Required Solid experience as a Staff-level engineer designing and evolving large-scale, data-intensive platforms, ideally in marketing technology, experimentation, audience/identity or web platforms. Ability to work end-to-end across a multi-product stack, partnering with several squads to make sure platforms interoperate as a coherent ecosystem. Proven track record connecting product strategy and platform design, turning growth and brand objectives into concrete architectural choices for audiences, campaign orchestration and website capabilities. Strong technical leadership skills: setting architectural direction, driving design reviews, evolving engineering standards and mentoring senior engineers and tech leaders. Experience with experimentation and data-driven decision making, and with designing systems that are observable, instrumented and easy to reason about. Demonstrated ability to navigate complex stakeholder environments, collaborating with Product, Data, Design, Marketing and other platform teams to align priorities and manage dependencies. Comfort operating in high-visibility, cross-impact domains, where platform decisions have direct effect on growth and brand outcomes. High tolerance for ambiguity, with the ability to frame complex problems into clear options and drive alignment through structured written and verbal communication. Nice to have Background in growth, martech or CRM platforms. Experience in multi-country or multi-brand environments. Previous work on customer data platforms, journey orchestration or experimentation platforms. Location for this opportunity Brazil – Hybrid hubs: São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte (aligned with Nubank’s official office locations). Work Model for this Role Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ Our Benefits – Brazil (Employee, Hybrid) Chance of earning equity at Nubank Food / Meal Card (Vale-Refeição and/or Vale-Alimentação) Public Transportation Commuting Benefit (Vale-Transporte) NuCare – Psychological, Financial and Legal Assistance Program Life Insurance Medical Plan Dental Plan NuLanguage – Language Course Program Nucleo – Our learning platform of courses Extended Parental Leave Daycare Allowance Parental Consultancy Work-from-home Allowance Gym Partnerships 30 days of paid vacation Relocation Assistance Package, if applicable Join us If you want to shape the platforms that power Nubank’s growth engine — from how we build audiences to how we orchestrate campaigns and run our public websites — we’d love to hear from you. Apply now to be our Staff Software Engineer – Marketing Platforms in Brazil.", "summaryDescription" : "Staff Software Engineer (Marketing Platforms) at Nubank. Skills: Marketing platforms, Audience manager, Website platform, Campaign manager. Design large-scale marketing platforms. Evolve large-scale marketing platforms", "postedDate" : "2026-06-14T01:25:31.412", "createdAt" : "2026-06-14T01:25:31.412", "lastUpdated" : "2026-06-15T07:01:02.429", "ingestTimestamp" : "2026-06-14T01:25:31.412", "mongoId" : "6a2c930674d8ee00a0987354", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "System design", "Architecture design", "Marketing platforms", "Audience manager", "Website platform", "Campaign manager", "Technical leadership", "Platform design", "Roadmap shaping", "Architectural choices", "Engineering standards", "Data-driven decision making", "Stakeholder management", "Dependency management", "Problem framing", "Alignment driving", "Roadmap planning", "Martech", "Experimentation", "Audience/identity", "Web platforms", "Customer data platforms", "Journey orchestration", "Growth platforms", "Financial services", "Digital financial platforms", "Marketing technology", "Campaign orchestration", "Audience activation" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 875.21765, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3085c4f292fd229c07b704", "title" : "Manager, Business Intelligence", "company" : "Medely", "industry" : "Finance & Accounting Department", "salary" : { "min" : 136000.0, "max" : 152000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:46:24.542", "fingerprint" : "4d6dc4cc7806fd7a7099d1e26757d5d34cdc3a3c169ceb9e4b4222b2090ce1d7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/medely/3eaa08f0-fc15-4cf5-9e02-7ab85d123710/application", "externalId" : "3eaa08f0-fc15-4cf5-9e02-7ab85d123710", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, BI tools, Data warehousing, ETL, Data modeling, Cloud platforms, AWS, GCP, Azure, Data visualization, A/B testing, Statistical analysis, Machine learning", "professionalSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "R", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Business intelligence, SQL, BI tools", "majorSkillsList" : [ "Data analytics", "Business intelligence", "SQL", "BI tools" ], "coreResponsibilities" : "Develop and maintain BI dashboards and reports, Analyze data to identify trends and insights, Collaborate with stakeholders to understand data needs, Develop and implement data models, Design and build ETL processes, Ensure data quality and integrity, Support data-driven decision-making, Perform ad-hoc data analysis", "teamCollaboration" : "Stakeholder collaboration", "toolProficiency" : [ "BI tools" ], "problemSolvingSkills" : "Problem solving; Data analysis", "qualificationsBasic" : "5+ years of experience in data analytics or business intelligence, Proficiency in SQL, Experience with BI tools", "qualificationsPreferred" : "Experience with Python or R, Experience with data warehousing concepts, Experience with cloud platforms (AWS, GCP, Azure), Experience with data modeling, Experience with ETL processes, Experience with data visualization best practices, Experience with A/B testing, Experience with statistical analysis, Experience with machine learning concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "The Company Medely is a high-growth series-C technology start-up reimagining the future of healthcare work by providing an on-demand marketplace and workforce management tools. With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment. Join us in our mission to transform the healthcare staffing industry and improve patient lives! The Opportunity Full-Time · Reports to VP, Financial Operations Medely is building the infrastructure layer for healthcare staffing - a marketplace that connects thousands of healthcare professionals with facilities that need them, in real time. It's a complex, data-rich business, and the decisions that determine how we grow, where we invest, and how we serve our customers are increasingly being driven by the quality of our analytics. That's where you come in. We're looking for a Manager of Business Intelligence who is equal parts analytical rigor and business instinct - someone who doesn't just build dashboards, but builds understanding. You'll lead a BI Analyst, own the execution of our BI roadmap, and work directly with the VP of Financial Operations and cross-functional leadership to turn data into decisions that move the business. If you're the kind of person who finds satisfaction in making a complex system legible - who gets energized by ambiguous problems, clean data models, and stakeholders who actually use what you build - this role was designed for you. What You'll Own - Be hands-on with the work. You won't just delegate. You'll write SQL, build dashboards, run analytical deep-dives, and produce models that generate real product and business insights. You're still a craftsperson. - Drive self-service analytics across the org. A big part of this role is making data accessible to people who aren't analysts. You'll train and enable business partners to navigate Delphina (our BI platform), set the governance standards that keep data trustworthy, and build the infrastructure so teams can answer their own questions -without creating chaos. - Translate complexity into clarity. You'll partner with operational and functional stakeholders to monitor business health, surface trends, and bring structure to ambiguous problems. The best outcome isn't a beautiful chart - it's a decision that wouldn't have been possible without you. - Build for scale, not just today. You'll contribute to a BI roadmap that balances short-term execution with long-term architecture - including alerting, anomaly detection, and applying AI/ML techniques to accelerate insight generation where it creates real leverage. - Work directly with leadership. Reporting into the VP of Financial Operations means high visibility and real exposure. Your work will directly inform how Medely's leadership team thinks about growth, operations, and strategy. Who You Are: - A minimum of 5 years in analytics, business intelligence, data science, or a related field - with at least one year managing a direct report. - Advanced SQL is non-negotiable. You write clean, optimized queries and you understand the systems underneath them. - Strong proficiency in a BI tool (Tableau, Power BI, or similar) and a real understanding of what makes a dashboard useful vs. just pretty. - Python or another scripting language for data manipulation and workflow automation. - Experience structuring ambiguous problems and communicating findings to both technical and non-technical audiences - Comfort with experimentation - designing tests, reading results, and explaining what they mean. - Familiarity with AI/ML concepts and an appetite to apply them to real analytics problems. - A bias toward ownership. You don't wait to be told what matters - you figure it out and move. What Will Set You Apart - Startup or marketplace experience. - Hands-on experience applying LLM-based or ML solutions to analytics workflows. - Interest in healthcare technology and the infrastructure that makes it work. Why This Role, Why Now Medely is at a stage where the analytical infrastructure we build in the next 12-18 months will shape how we scale for years. This role has real scope - a platform to own, a leadership team that wants to be data-informed, and a business complex enough to keep you intellectually engaged for a long time. You'll have ownership. You'll have visibility. And you'll do work that actually matters. Why Medely: Benefits & Perks - Competitive Compensation: Based on experience and performance - Long-term Incentives: 401k - Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance - Flexibility: We believe that work/life balance is important, so we offer flexible and unlimited PTO - Paid parental leave - Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally! - Ownership: Drive meaningful business impact on a team you’ll help build and define! - Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office! We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities. Work location is flexible if approved by Medely. Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate. We are an E-Verify company.", "summaryDescription" : "Manager, Business Intelligence at Medely. Skills: Data analytics, Business intelligence, SQL, BI tools. Develop and maintain BI dashboards and reports. Analyze data to identify trends and insights", "createdAt" : "2026-06-16T01:59:52.495", "lastUpdated" : "2026-06-16T11:46:24.542", "ingestTimestamp" : "2026-06-16T01:59:52.495", "mongoId" : "6a3085c4f292fd229c07b704", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 136000, "salaryAnnualMax" : 152000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning", "Data analytics", "BI tools", "Problem solving" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 863.8436, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8c8274d8ee00a0975aff", "title" : "Manager, Business Analytics (Brand Marketing)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 150000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:27:07.554", "fingerprint" : "6931dc9359b135e65b48f779af0c4a2c4e1750bdb93d2fb3c98f776d6452db71", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/40c78e07-7ff0-4811-bcfa-f65426bf30cf/application", "externalId" : "40c78e07-7ff0-4811-bcfa-f65426bf30cf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "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" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform statistical analysis and A/B testing, Collaborate with engineering teams, Ensure data quality and integrity, Mentor junior analysts and engineers", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Marketing teams", "domainKnowledge" : "Brand marketing; Consumer behavior; Marketing analytics", "domainList" : [ "brand-marketing", "consumer-behavior", "marketing-analytics" ], "domainSpecificKnowledge" : [ "Brand marketing", "Consumer behavior", "Marketing analytics" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document data models; Document processes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "RESPONSIBILITIES: - - Own the end-to-end brand measurement strategy across awareness, consideration, perception, and upper-funnel impact, ensuring alignment with WHOOP’s broader growth objectives. - Build and execute a “test and learn” measurement roadmap aligned to Brand Media goals, driving continuous optimization and learning. - Lead measurement efforts across media effectiveness, brand health, and consumer behavior to inform investment decisions and future planning. - Oversee integrated campaign performance analysis across media channels, creative assets, and downstream business metrics, connecting brand spend to member growth and long-term value. - Demonstrate strong command of media concepts, metrics, and media plan execution, serving as a thought partner to the Brand and Media teams. - Evaluate and manage external brand media data partners, identifying innovative approaches to strengthen WHOOP’s measurement capabilities. - Translate survey data, media performance, web behavior, and conversion trends into clear, executive-ready insights and recommendations. - Manage, mentor, and develop analysts, fostering a culture of analytical rigor, strong storytelling, and high performance. QUALIFICATIONS: - - 6+ years of experience in Analytics, with direct experience in a consumer business preferred. - A self-serve player-coach; able to take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations. - Clear, concise communicator with a bias for action. - Demonstrated success in influencing senior stakeholders on strategic direction based on data-driven insights. - Proficiency in SQL; experience with dbt, Snowflake and/or similar platforms. - Highly adept at leveraging AI tools to increase efficiency and quality of work. - Experience leading and developing a team, including driving large projects and mentoring junior analysts. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Manager, Business Analytics (Brand Marketing) at WHOOP. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-14T20:17:14.299", "lastUpdated" : "2026-06-16T04:27:07.554", "ingestTimestamp" : "2026-06-14T20:17:14.299", "mongoId" : "6a2c8c8274d8ee00a0975aff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 180000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Machine learning", "Analytics engineering", "Quantitative analysis", "Brand marketing", "Consumer behavior", "Marketing analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 862.94464, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c95ac74d8ee00a098db0e", "title" : "Sr Manager Data Analytics, Marketing", "company" : "Fanatics Betting & Gaming", "industry" : "Sports & Fitness", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:52:41.454", "fingerprint" : "4834bdf7196e077b4e681b9894ca6960f634b3b890cce695edf3cbe83a6d9cfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4239983009", "externalId" : "4239983009", "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", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Business intelligence", "Quantitative analysis", "ML framework development" ], "hardSkillsList" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analytics", "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" : "Model development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Monitor performance, Ensure nuances communicated, Partner with Data Science, Partner with Experimentation teams, Design value metrics, Design testing, Evaluate performance, Contribute to development, Iteratively improve acquisition performance, Drive decision making, Create regular insights, Create ad hoc insights, Gather insights metrics, Gather insights activities, Present insights metrics, Present insights activities, Build relationships with stakeholders, Drive acquisition performance, Collaborate with Analysts, Collaborate with Data Scientists, Find solutions to business problems, Remain current on technology, Remain current on trends", "teamCollaboration" : "Digital Acquisition team; Sportsbook team; Casino team; Data teams; Other Analysts; Data Scientists", "domainKnowledge" : "Sports betting; iGaming platform; Online sports betting; Statistical model development; High-growth environments; Betting and gaming industry", "domainList" : [ "sports-betting", "igaming-platform", "online-sports-betting", "statistical-model-development", "high-growth-environments", "betting-and-gaming-industry" ], "domainSpecificKnowledge" : [ "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "communicationSkills" : "Presenting insights; Advisory", "problemSolvingSkills" : "Logical approach; Analytical approach", "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, Required degrees in Computer Science, Required degrees in Mathematics", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Role: We are seeking a Senior Analytics Manager to join the Fanatics Betting monitor and ensure that nuances are communicated effectively. Partner closely with Data Science and Experimentation teams to design value metrics and testing, and evaluate performance. Contribute to the development and iterative improvement of our acquisition performance, using insights to drive and influence decision making. Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. Build strong relationships with internal stakeholders in the Digital Acquisition team, as well as across the Sportsbook, Casino, and Data teams, and become a key voice in driving acquisition performance. Collaboration with other Analysts and Data Scientists to find solutions to business problems. Remain current on technology and trends in data analytics and the sports betting a strong understanding of the considerations required to run these tests. Experience in and a strong understanding of statistical model development. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationship, and to influence senior leadership. Confident with presenting insights to non-technical audiences, seeking to match the analysis to the business context, and making recommendations on further steps. Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Logical and analytical approach to problem solving, with strong organizational and skills. Previous experience in the betting and gaming industry is a significant plus. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $160,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Sr Manager Data Analytics, Marketing at Fanatics Betting & Gaming. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Monitor performance. Ensure nuances communicated", "postedDate" : "2026-06-14T08:37:35.573", "createdAt" : "2026-06-14T08:37:35.573", "lastUpdated" : "2026-06-15T09:52:41.454", "ingestTimestamp" : "2026-06-14T08:37:35.573", "mongoId" : "6a2c95ac74d8ee00a098db0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development", "Leadership", "Critical thinking", "Machine learning", "Business intelligence", "Data engineering", "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Quantitative analysis", "ML framework development", "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 848.7173, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cea3a74d8ee00a0a70550", "title" : "Marketing Manager", "company" : "On Board Experiential", "industry" : "Media", "salary" : { "min" : 80000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hawthorne, California, United States", "locations" : [ "Hawthorne", "California", "United States" ], "timestamp" : "2026-06-15T08:46:09.261", "fingerprint" : "532f053b5de3e62b7ffc230b58f8e816b7ec16c46b942032a741a506640d6371", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/obexp/jobs/8590504002", "externalId" : "8590504002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hawthorne", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.9128272,-118.3426122" } ], "locationText" : "Hawthorne, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SEO, SEM, Adobe Creative Suite, Premiere Pro, CapCut", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Brand storytelling", "Content strategy", "Content execution", "Data analysis", "Visual storytelling", "Project management", "Presentation design" ], "hardSkillsList" : [ "Marketing analytics", "Content creation", "Copywriting", "Graphic design", "Video editing", "Photography" ], "softSkillsList" : [ "Detail-obsessed" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Copywriting", "level" : "intermediate" }, { "name" : "Graphic design", "level" : "intermediate" }, { "name" : "Video editing", "level" : "intermediate" }, { "name" : "Photography", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Detail-obsessed" } ], "majorSkills" : "Brand strategy, Campaign management, Content creation, Marketing analytics", "majorSkillsList" : [ "Brand strategy", "Campaign management", "Content creation", "Marketing analytics" ], "coreResponsibilities" : "Develop campaign ideas, Develop campaign strategies, Execute marketing campaigns, Coordinate integrated campaigns, Track campaign performance, Provide optimization recommendations, Maintain content calendar, Execute content calendar, Create native content, Write compelling copy, Update website content, Identify site improvements, Develop award entries, Gather campaign content, Archive campaign content, Maintain content assets, Support project content creation, Support asset development, Develop pre-event plans, Develop shot lists, Create scripts, Create beat sheets, Capture onsite content, Manage photographers, Manage videographers, Edit video, Distribute content, Manage image library, Manage video library, Organize assets, Secure content approvals, Curate agency materials, Maintain team bios, Maintain headshots, Maintain agency stats, Maintain agency history, Manage digital marketing, Manage paid advertising, Manage email marketing", "teamCollaboration" : "Creative teams; Account teams; New business teams; Project teams; Internal teams; Cross-functional workflows", "projectManagementSkills" : [ "Project management", "Task management", "Timeline management" ], "domainKnowledge" : "Experiential marketing", "domainList" : [ "experiential-marketing" ], "domainSpecificKnowledge" : [ "Experiential marketing" ], "toolProficiency" : [ "Keynote", "Google Suite", "Microsoft Suite", "Adobe Photoshop", "Adobe InDesign", "Adobe Illustrator", "ClickUp", "Claude", "ChatGPT" ], "communicationSkills" : "Brand voice; Copywriting; Presentations", "documentationSkills" : "Case study write-ups; Pitch presentations", "continuousLearning" : "Stay current; Keep learning; Bring fresh ideas", "innovationCreativity" : "Creative thinker; Visual storytelling; Brand storytelling", "problemSolvingSkills" : "Data-driven recommendations", "specialRequirements" : "Work non-traditional hours, Travel up to 50%, Work hybrid schedule", "qualificationsBasic" : "5+ years marketing experience, Experience in brand storytelling, Experience in content creation, Experience pulling analytics, Experience with social channels, Experience with email marketing, Experience with website management, Experience with award entries, Experience with agency marketing, Experience with content permissions, Experience with image library, Experience with video library, Experience with SEO/SEM, Experience with paid advertising, Experience with email marketing, Experience with presentation design, Experience with Adobe Creative Suite, Experience with video editing, Experience with AI tools, Experience with AI solutions, Experience with AI automations, Experience with hybrid schedule, Experience with travel up to 50%", "qualificationsPreferred" : "ClickUp proficiency preferred, Photography experience an additional plus, Motion graphic design skills an additional plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About On Board Experiential (OBE) OBE is a global marketing agency that brings brands to life through culture-shaping experiences. For more than 30 years, we've partnered with iconic brands — including Nike, the NFL, JPMorganChase, Meta, Sephora, Starbucks, and Converse — to build community, create cultural relevance, and drive measurable business impact. With offices in Los Angeles, New York, San Francisco, and London, we activate globally. OBE is also a founding member of The ADD Collective, extending our reach and resources while staying true to our core capabilities. We've been recognized by Event Marketer as one of the best places to work in events — and we couldn't agree more. The most important part of our business is our people. They are hardworking, imaginative, and make genuinely remarkable things happen. But behind every great activation is a human who deserves rest, connection, and a life outside of work. That's why we invest in recovery days, company offsites, happy hours, and the kind of friendly-but-competitive fitness challenges that bond teams for life. We show up for each other — in open conversations that heal, inspire, and bring us closer. We want to hear about your lived experiences, your unconventional ideas, and the perspectives only you can bring. Being unapologetically yourself isn't just welcome here. It's part of the job. Marketing Manager The Marketing Manager is the engine behind OBE's day-to-day marketing output — a creative, hands-on doer with sharp instincts, high standards, and a genuine love for brand storytelling. Reporting to the Senior Brand Marketing Director, this role is for the marketer who wants to own it end-to-end: from strategy to execution, copy to content, data to design. The ideal candidate loves visual storytelling and all things brand marketing. They are an active consumer of experiences and enjoy curating content in both their personal and professional lives. They are proactive, detail-obsessed, and equally comfortable doing research and writing copy as they are crafting content and pulling analytics. SUMMARY OF POSITION  This is a role for someone who is hungry to learn, eager to make their mark, and excited by the idea of helping shape how one of the most dynamic experiential agencies in the country shows up in the world. If you’re the person who notices great brand work in the wild, screenshots campaigns for inspo, and genuinely geeks out over a well-crafted caption — we want to hear from you. ESSENTIAL JOB FUNCTIONS  Campaign Development + Management Participate in brainstorming and ideation sessions with Senior Brand Marketing Director and Leadership teams to develop campaign ideas and strategies. Execute end-to-end marketing campaigns across digital and physical channels, ensuring all deliverables are on-brand, on-time, and on-budget. Coordinate with creative, account, and new business teams to produce integrated, cohesive campaigns aligned with strategic direction. Track campaign performance and provide data-driven recommendations for optimization. Content Development + Management Maintain and execute a robust content calendar that delivers a consistent brand voice across OBE’s social channels (LinkedIn, Instagram, and others), email, website, and presentations — including native content creation for social, from concepting and copywriting to asset production and scheduling. Write compelling, on-brand copy for a range of formats — from social posts and email campaigns to case study write-ups and pitch presentations. Manage and regularly update the OBE website with fresh content; proactively identify improvements to user experience and site performance. Develop and submit award entries in collaboration with internal teams, helping maintain OBE's recognition as a leader in the experiential marketing industry. Collaborate with project teams to gather, archive, and maintain content and assets from executed campaigns for ongoing marketing use. Support project content creation and asset development for OBE agency marketing, including pre-event planning, shot list development, script and/or beat sheet creation, self-driven onsite content capture and/or photographer/videographer management, video editing, and distribution. Manage OBE's image and video library, ensuring assets are organized and accessible for internal teams. Proactively work with project teams to understand content permissions and secure approvals for sharing project work across OBE's marketing channels. Curate and maintain up-to-date agency materials — from team bios and headshots to agency stats and history — for use in RFIs, RFPs, award entries, and press materials. Digital Marketing Manage digital marketing initiatives including SEO/SEM, paid advertising, and email marketing. Monitor, analyze, and report on campaign performance metrics across all digital channels; translate data into clear recommendations. Stay current on emerging tools, platforms, and technologies that can improve OBE's marketing performance, reach, or measurement capabilities. Event + Experiential Marketing Support the identification and coordination of speaking opportunities for OBE executives and subject matter experts to grow agency visibility and credibility. Drive targeted pre-event and post-event marketing efforts to maximize awareness and engagement around industry appearances. Support client-hosting and agency event efforts as needed. Collaboration + Stakeholder Support Collaborate with internal teams to integrate strategic marketing needs into client project workflows, such as content capture opportunities and approvals on content use. Serve as an internal resource for case study and project content recommendations — helping teams identify the right stories for pitches, presentations, and proposals. Build and maintain relationships with key vendors, partners, and external agencies to support seamless execution of marketing initiatives. Work closely with the Senior Brand Marketing Director to support strategic planning, reporting, and special projects. DESIRED SKILLS + EXPERIENCE Education / Experience 2–4 years of experience in marketing; experiential or creative agency background a strong plus. Bachelor's degree in marketing, communications, business administration, or related field preferred. Essential Knowledge, Skills + Abilities Excellent written and verbal communication skills with a strong editorial eye and a talent for brand voice. Strong project management abilities — highly organized, detail-oriented, and able to manage multiple priorities simultaneously. Data-driven mindset with comfort pulling and interpreting marketing analytics across key platforms. Creative thinker with a genuine eye for design and visual storytelling. Collaborative and professional across all levels of an agency — a team player who can also operate independently. Other Qualities + Skills Proficient in Keynote, Google Suite and Microsoft Office; strong command of presentation design. Light graphic design experience with Adobe Creative Suite (Photoshop, InDesign, Illustrator) — able to create or adapt assets independently without always relying on the creative team. Video editing experience (Premiere Pro, CapCut, or similar) — comfortable cutting social-ready clips, reels, and recap videos from raw event footage. Photography experience and motion graphic design skills an additional plus. ClickUp proficiency preferred — experience using ClickUp or a similar project management platform to manage tasks, timelines, and cross-functional workflows. Curiosity and experience with AI a plus — hands-on experience with AI tools such as Claude, ChatGPT, or similar is a bonus, as is an interest in testing and applying marketing-related AI solutions and automations. High energy and flexibility to work non-traditional hours as deadlines require. Willingness to work a hybrid schedule (up to 3 days in office) and travel up to 50% of the time Natural curiosity — a drive to stay current, keep learning, and bring fresh ideas to the table. Compensation Range: $80,000 - $110,000 annually. This is the pay range OBE believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on level of experience, relevant skills, professional certifications, market pay, and demand for the role. OBE reserves the right to modify this pay range at any time. For this role, Benefits include: medical/dental/vision insurance, employer paid basic life and personal accident insurance. Also included: Annual Profit Sharing/Bonus Plan based on the company’s performance and your individual performance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, PTO, STD/LTD insurance benefits. On Board Experiential is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.", "summaryDescription" : "Marketing Manager at On Board Experiential. Skills: Brand strategy, Campaign management, Content creation, Marketing analytics. Develop campaign ideas. 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Clients benefit from decades of expertise, enhanced support, and UPSTACK’s proprietary technology—delivering faster deployments, cost savings, and streamlined access to critical solutions. Our expertise includes: data center colocation, network connectivity, SD-WAN, unified communications, cloud contact center, CX-AI, private/public cloud, security, mobility, business continuity, and IoT. Under the leadership of Founder and CEO Christopher Trapp, UPSTACK is committed to exceptional customer experiences, serving 6,500+ clients—from SMBs to enterprises—and managing over $550M in annual technology spend across industries. About the Role We are seeking a strategic and analytical Director, Revenue Intelligence & Analytics to serve as a trusted partner to the Chief Revenue Officer (CRO) and Go-to-Market (GTM) leadership team. This leader will drive business performance through revenue intelligence, forecasting excellence, financial and operational analytics, and AI-driven insights. The ideal candidate combines deep expertise in revenue operations, financial planning, and business analytics with the ability to influence executive decision-making. This role will lead forecasting governance, pipeline analytics, productivity measurement, partner economics, investment optimization, and strategic planning initiatives that support scalable revenue growth and operational excellence. Key Responsibilities Revenue Intelligence & Forecasting Own and continuously improve revenue forecasting models, including pipeline, bookings, revenue, and quota attainment. Drive forecast rigor, governance processes, and forecasting methodologies across GTM leadership. Lead pipeline inspection and deal review processes to improve forecast accuracy and predictability. Analyze stage conversion rates, deal progression, slippage trends, and forecast variance. Support monthly, quarterly, and annual forecasting processes in partnership with Finance and GTM leadership. Sales Performance & Productivity Analytics Develop sales capacity models, including headcount planning, quota allocation, territory coverage, and ramp productivity. Evaluate sales productivity across segments, geographies, verticals, routes-to-market, and seller types. Support compensation plan modeling, attainment analysis, and incentive effectiveness reviews. Identify opportunities to improve revenue-generating efficiency and resource allocation. Strategic Growth & Market Analysis Conduct Ideal Customer Profile (ICP) analysis, market segmentation, whitespace analysis, and growth opportunity modeling. Analyze key SaaS business drivers including customer acquisition cost (CAC), lifetime value (LTV), funnel conversion, retention, and revenue growth metrics. Develop financial and business models to support pricing strategy, territory planning, market expansion, and investment decisions. Provide recommendations on GTM investments, territory design, and strategic growth initiatives. Partner & Ecosystem Performance Evaluate partner, channel, alliance, and ecosystem performance, including ROI and investment effectiveness. Assess partner economics and recommend optimization strategies to maximize growth and profitability. Executive Reporting & Business Insights Lead analytics and reporting for forecast reviews, Quarterly Business Reviews (QBRs), executive operating reviews, and Board presentations. Design and maintain executive dashboards and KPI reporting frameworks. Deliver actionable insights on performance against targets, highlighting risks, opportunities, and recommended actions. Translate complex data into clear, compelling executive-level narratives. AI & Advanced Analytics Leverage predictive analytics, AI-assisted forecasting, automation, anomaly detection, and scenario modeling to improve decision-making. Identify opportunities to enhance business intelligence capabilities and operational efficiency through technology and analytics. Cross-Functional Leadership Partner with Sales, Marketing, Customer Success, Revenue Operations, Business Systems & Data, and Finance teams to drive alignment and execution. Support annual planning, budgeting, and long-range strategic planning processes. Ensure data integrity, reporting consistency, and analytical rigor across the organization. Drive continuous improvement of processes, tools, systems, and reporting frameworks. Education Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. Required Qualifications 10+ years of experience in Revenue Operations, Revenue Analytics, FP&A, Business Intelligence, Sales Operations, or related strategic analytics functions. Experience supporting executive leadership teams and influencing business strategy through data-driven insights. Proven success in SaaS, subscription-based, or high-growth technology environments. Demonstrated experience building and managing forecasting, planning, and performance management processes. Deep knowledge of: Revenue Operations principles Forecast governance and pipeline management Territory design and sales capacity planning Compensation and incentive design Partner and ecosystem business models SaaS growth metrics and revenue architecture FP&A, forecasting, budgeting, and variance analysis Revenue modeling concepts including ARR, MRR, bookings, churn, and pipeline metrics GTM business models and sales performance measurement Advanced proficiency with: Salesforce SQL Snowflake Gong HubSpot Marketo Power BI, Tableau, or similar BI platforms Excel and financial modeling tools Predictive analytics and AI-enabled business analysis solutions Exceptional analytical and problem-solving skills. Strong executive communication and data storytelling capabilities. Ability to synthesize large, complex datasets into actionable business recommendations. Excellent stakeholder management and cross-functional collaboration skills. Strong project management and prioritization abilities. High attention to detail and commitment to data accuracy. Additional Requirements Ability to influence executive decision-making through quantitative analysis and strategic recommendations. Demonstrated ability to challenge assumptions and drive accountability through business inspection processes. Experience balancing strategic planning with operational execution. Strong business acumen with a focus on ROI-driven investment decisions. Ability to thrive in a fast-paced, high-growth environment with evolving priorities. Proven track record of identifying business risks and opportunities proactively. Experience building scalable analytical frameworks and financial models that support company growth. Ability to partner effectively with both technical and non-technical stakeholders. Commitment to continuous improvement, operational excellence, and innovation. Salary Range Employees new to UPSTACK typically come in at the start of the pay range. UPSTACK focuses on providing a simple and transparent pay structure, which is based on a variety of factors, including location, experience, and job-related skills. The salary range for this role is $170,000.00 to $190,000.00 annually plus participation in the annual bonus program. Compensation includes base salary and benefits. Closing UPSTACK is an Equal Opportunity Employer and does not discriminate based on race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, UPSTACK will consider employment for all qualified applicants. UPSTACK is committed to providing reasonable accommodations to individuals with disabilities as required by applicable law. Accommodations may include adjustments to the application, interview, or assessment process, as well as modifications to the work environment or job duties to enable individuals to perform the essential functions of the role. Requests for accommodations will be evaluated on a case-by-case basis and provided unless they impose an undue hardship on the organization. At this time, UPSTACK will not sponsor a new applicant for employment authorization for this position. We endeavor to make the application process accessible to all applicants. 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"experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Marketing measurement, Performance analytics, Analytical approaches", "professionalSkills" : [ "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "hardSkillsList" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "Customer analytics", "level" : "intermediate" }, { "name" : "Marketing measurement", "level" : "intermediate" }, { "name" : "Performance analytics", "level" : "intermediate" }, { "name" : "Customer acquisition", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Marketing investment", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Multi-channel acquisition", "level" : "intermediate" }, { "name" : "Marketing effectiveness", "level" : "intermediate" }, { "name" : "Analytical quality", "level" : "intermediate" }, { "name" : "Analytical rigour", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution", "majorSkillsList" : [ "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Measurement", "Attribution" ], "coreResponsibilities" : "Partner with senior stakeholders, Solve complex marketing challenges, Solve complex growth challenges, Translate business questions into analytical work, Lead a team of four Analysts, Coach a team of four Analysts, Develop a team of four Analysts, Guide measurement approaches, Build an attribution approach, Define long-term vision, Define long-term strategy, Improve maturity of Marketing Analytics frameworks, Improve maturity of Marketing Analytics processes, Improve maturity of Marketing Analytics capabilities, Influence decisions relating to customer acquisition, Influence decisions relating to growth, Influence decisions relating to marketing effectiveness, Build relationships across teams, Ensure analytical outputs are commercially impactful, Ensure analytical outputs are actionable, Maintain high standards of analytical quality, Maintain high standards of analytical rigour", "teamCollaboration" : "Senior stakeholders; Marketing teams; Growth teams; Analytics teams; Product stakeholders", "domainKnowledge" : "Marketing measurement; Performance analytics; Customer acquisition; CRM; Multi-touch attribution; Marketing mix modelling; Financial services; Fintech", "domainList" : [ "marketing-measurement", "performance-analytics", "customer-acquisition", "crm", "multi-touch-attribution", "marketing-mix-modelling", "financial-services", "fintech" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Performance analytics", "Customer acquisition", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "problemSolvingSkills" : "Problem solver; Break down complex business questions", "specialRequirements" : "Work from abroad up to 120 days", "outcomesObjectives" : "Inform growth strategy; Inform customer value; Inform investment decisions", "qualificationsBasic" : "Experience in Marketing Analytics, Experience in Growth Analytics, Experience in Customer Analytics, Proven track record of leading analysts, Ability to operate between strategic conversations and analytical detail, Experience improving analytics functions, Build credibility with senior stakeholders", "qualificationsPreferred" : "Background in marketing agency, Background in media agency, Exposure to customer acquisition attribution, Exposure to CRM, Exposure to next best action modelling, Exposure to lifetime value modelling, Experience with multi-touch attribution, Experience with marketing mix modelling, Track record leading analytics transformation, Track record leading maturity improvement programmes, Experience operating in fast growing organisations, Financial services exposure, Fintech exposure, Familiarity with AI enabled analytics approaches, Familiarity with AI enabled analytics tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Description Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife Marketing Analytics is becoming an increasingly important capability within the business, and this role will play a key part in shaping what that function looks like over the coming years. This is a really exciting opportunity to join at a pivotal point in the team's evolution. You'll help shape how Marketing, CRM and Growth teams use analytics to make better decisions about customer acquisition, engagement, experimentation and marketing investment, while leading a growing team and influencing decisions that directly impact business growth. Rather than inheriting a fully mature function, you'll help build capability, improve ways of working and establish Marketing Analytics as a strategic capability that informs growth strategy, customer value and investment decisions across the business. ## A day in the life Partner with senior stakeholders to solve complex marketing and growth challenges Translate strategic business questions into analytical work that drives action Lead, coach and develop a team of four Marketing Analysts Guide measurement approaches across acquisition, CRM and growth activity Build a strong measurement and attribution approach for an increasingly complex multi-channel acquisition approach Define and champion the long-term vision and strategy for Marketing Analytics, ensuring the function evolves to support Zopa's growth ambitions and changing marketing landscape Improve the maturity of Marketing Analytics frameworks, processes and capabilities Influence decisions relating to customer acquisition, growth and marketing effectiveness Build strong relationships across Marketing, Growth and Analytics teams as well as broader product stakeholders Ensure analytical outputs are commercially impactful and actionable Maintain high standards of analytical quality and rigour ## About you Strong experience in Marketing Analytics, Growth Analytics, Customer Analytics or a closely related field, with an exposure to a broad range of marketing measurement requirements across the funnel Deep domain expertise and understanding of the unique challenges of marketing measurement and performance analytics Proven track record of leading analysts and you enjoy coaching, mentoring and developing teams Ability to operate comfortably between strategic conversations and analytical detail Experience improving the maturity of analytics functions rather than simply maintaining established processes A strong problem solver who can break down complex business questions into practical analytical approaches You can build credibility with senior stakeholders across both marketing and analytics functions You bring enough technical depth to challenge thinking, review analytical approaches and maintain analytical standards Comfortable working in an environment that is still evolving and where there is opportunity to shape the future direction Added bonus: Background in marketing or media agency environments Exposure to customer acquisition attribution, CRM, next best action / lifetime value modelling Experience with multi-touch attribution and marketing mix modelling to enhance effectiveness Track record leading analytics transformation or maturity improvement programmes Experience operating in fast growing organisations where analytics capabilities are still being established Financial services or fintech exposure Familiarity with AI enabled analytics approaches and tools ## Additional Information At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. ", "summaryDescription" : "Head of Marketing Analytics at Zopa. Skills: Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution. Partner with senior stakeholders. Solve complex marketing challenges", "postedDate" : "2026-06-15T16:27:08.498", "createdAt" : "2026-06-15T16:27:08.498", "lastUpdated" : "2026-06-16T11:28:19.177", "ingestTimestamp" : "2026-06-16T03:26:36.991", "mongoId" : "6a30662df292fd229cfaed57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour", "Leadership", "Coaching", "Mentoring", "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "skillCount" : 32, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 822.0998, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cc34474d8ee00a0a08de7", "title" : "Product Marketing Manager, Competitive & Market Intelligence", "company" : "Owner", "industry" : "Marketing & Media", "salary" : { "min" : 135000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States", "Remote - Canada" ], "timestamp" : "2026-06-16T00:31:26.590", "fingerprint" : "f9dface505d45fa76341c13a8f02511f80afe8f65d74f878c340f674a948e085", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/owner/e3fef65b-10fe-41e3-b1b4-b7b4758a103f/application", "externalId" : "e3fef65b-10fe-41e3-b1b4-b7b4758a103f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Market intelligence", "Sales enablement", "Market research", "Competitive analysis", "Strategic recommendations", "Positioning decisions" ], "hardSkillsList" : [ "Win/loss analysis", "Data analysis", "Qualitative analysis", "Quantitative analysis" ], "hardSkills" : [ { "name" : "Win/loss analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" } ], "majorSkills" : "Competitive intelligence, Market insights, Product marketing, Sales enablement", "majorSkillsList" : [ "Competitive intelligence", "Market insights", "Product marketing", "Sales enablement" ], "coreResponsibilities" : "Build competitive intel system, Run competitive intel system, Gather real proof, Turn intel into points of view, Give crisp guidance, Build market intel system, Run market intel system, Ship monthly update, Own win/loss view, Turn intel into deal enablement, Create battlecards, Create objection handling, Create competitive frames, Run trainings, Run enablement sessions, Run recurring market research, Maintain proof points backlog, Drive evidence collection", "teamCollaboration" : "Sales and Sales Enablement; RevOpsizOps; Product", "domainKnowledge" : "AI upside", "domainList" : [ "ai-upside" ], "domainSpecificKnowledge" : [ "AI upside" ], "communicationSkills" : "Deal-ready enablement; Crisp guidance", "documentationSkills" : "Battlecards; Objection handling", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Drive more direct orders; Drive more profit", "qualificationsBasic" : "5+ years in Product Marketing, 5+ years competitive intelligence, 5+ years market insights, Proven SaaS marketing experience, Created competitive narratives, Created sales enablement tools, Run repeatable intel cadence, Work with RevOpsizOps, Write with precision", "qualificationsPreferred" : "AI upside obsession", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Owner Owner is the AI-native system local business owners use to succeed, starting with restaurants. We’re building the system that replaces the many tools owners use to run their business. It powers everything from the restaurant’s website, online ordering, CRM, POS, and more. Product philosophy Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically. Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it. Using Owner should feel like having a team of great operators, engineers, and marketers working for you. Our vision We’re starting by helping independent restaurants succeed online. But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. Once we nail the solution for restaurants – we’ll scale it into every other local business type. In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. Read our Series C memo here → https://www.owner.com/c Our traction Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com http://Owner.com website. More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. Our team Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. We’ll be scaling even faster in 2026 to keep pace with our customer growth. Where we work Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! Why we’re looking for you Owner is a performant product that restaurant owners love. (Check out our reviews https://www.g2.com/products/owner-com/reviews?utf8=%E2%9C%93&order=most_recent!) The best way to sell Owner isn’t a feature checklist—it’s proof. Restaurant owners don’t want tech jargon. They want a clear, simple case for how Owner will drive more direct orders and more profit. Our market moves fast. Leading competitors change pricing, packaging, and positioning all the time. New plays show up in deals before they show up anywhere else. If we’re late, we end up reacting instead of leading the conversation. That’s where you come in. You’ll build and run our competitive and market intelligence system. You’ll gather real proof (quant + qual), turn it into clear points of view, and give customer-facing teams crisp guidance they can use to win deals. This role is fully remote and can be based out of the United States or Canada. The impact you’ll have - Build and run a competitive + market intel cadence with a proof-backed source of truth. - Ship a monthly “what changed” update that’s evidence-based and easy to learn from. - Partner with RevOps to own a clean win/loss-by-competitor view. E.g., dashboard + monthly readout for leaders. - Turn intel into deal-ready enablement: battlecards, objection handling, and a small set of durable competitive frames that show up on calls. - Run trainings and live enablement sessions that actually change how Sales talks about our product. - Run recurring market research so our messaging stays grounded in what restaurants care about. - Maintain a living “proof points” backlog and drive collection of the evidence we need to win competitive arguments. Who you’ll work with - This role reports to our Director of Product Marketing - Sales and Sales Enablement (your primary partners) - RevOps/BizOps (data, dashboards, definitions) - Product (market signal → positioning and build decisions) What we’re looking for - 5+ years in Product Marketing with a focus in competitive intelligent and market insights. - Proven SaaS marketing experience in product marketing, competitive/market intelligence, sales enablement, or a closely related role. - You’ve created competitive narratives and tools that changed what reps said in deals. - You can run a repeatable intel cadence (capture → analyze → publish → train → refresh) and keep it alive. - You can work with RevOps/BizOps to make win/loss real: clean definitions, usable dashboards, and trusted readouts. - You write with precision: short, specific, and built for a rep mid-call. - You’re comfortable being “the person who knows”: you chase proof, you call issues early, and you push for a response. - You’re obsessed with AI upside. You currently use AI to move faster without sacrificing accuracy. Interview Process Recruiter Screen — 30-minute phone call to align on your background, what you're looking for, and answer any early questions Hiring Manager Screen — 45-minute video interview with the hiring manager to go deeper on your experience, strategic thinking, and how you partner cross-functionally Case Study — A high-level exercise focused on how you approach market research, competitive analysis, and strategic recommendations Paid Project — A compensated project that gives you an opportunity to work through a real-world problem similar to what you’d tackle in the role Marketing Leadership Interview — Video interview with senior marketing leaders covering your skills, approach, how you'd show up in the role, and cross-functional collaboration Final Round — 30-minute conversation with a C-suite executive to discuss vision, team fit, and long-term impact in the role Pay and benefits - The estimated base salary range for this role is $135,000 - $165,000 plus a generous pre-IPO equity package - Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks! Notice - Employment Scams Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as \"phishing\" or “spam” and do not respond.", "summaryDescription" : "Product Marketing Manager, Competitive & Market Intelligence at Owner. Skills: Competitive intelligence, Market insights, Product marketing, Sales enablement. Build competitive intel system. Run competitive intel system", "createdAt" : "2026-06-14T17:32:39.153", "lastUpdated" : "2026-06-16T00:31:26.590", "ingestTimestamp" : "2026-06-14T17:32:39.153", "mongoId" : "6a2cc34474d8ee00a0a08de7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Win/loss analysis", "Data analysis", "Qualitative analysis", "Quantitative analysis", "Competitive intelligence", "Market insights", "Product marketing", "Sales enablement", "Market intelligence", "Market research", "Competitive analysis", "Strategic recommendations", "Positioning decisions", "AI upside" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 805.4013, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca0c274d8ee00a09a33d0", "title" : "Digital Marketing Executive", "company" : "BJAK", "industry" : "Marketing", "location" : "Malaysia", "locations" : [ "Malaysia" ], "certifications" : [ "Google Ads", "Meta Blueprint" ], "timestamp" : "2026-06-15T06:50:08.136", "fingerprint" : "afeea1bff77674f71f2cb6d1e0eb1e77d62655dc5fc3c8738ed483fbd7342725", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/bjakcareer/529b3ca0-c98c-40f1-8201-5a82e4750a7f/application", "externalId" : "529b3ca0-c98c-40f1-8201-5a82e4750a7f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Malaysia", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "Google Analytics, Meta Ads Reporting, Google Tag Manager", "professionalSkills" : [ "performance marketing" ], "hardSkillsList" : [ "campaign budget management", "conversion tracking", "audience segmentation" ], "softSkillsList" : [ "ownership, urgency, attention to detail" ], "hardSkills" : [ { "name" : "campaign budget management", "level" : "intermediate" }, { "name" : "conversion tracking", "level" : "intermediate" }, { "name" : "audience segmentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "ownership, urgency, attention to detail" } ], "majorSkills" : "paid digital campaigns, performance marketing, analytics platforms, campaign optimization, A/B testing", "majorSkillsList" : [ "paid digital campaigns, performance marketing, analytics platforms, campaign optimization, A/B testing" ], "coreResponsibilities" : "Plan, launch, and optimize paid digital campaigns across Meta (Facebook/Instagram), Google Ads, TikTok, and other relevant platforms. Monitor and analyze campaign KPIs daily to ensure performance targets are met or exceeded. Conduct A/B testing on ad creatives, copy, audiences, placements, and bidding strategies. Collaborate with content and design teams to craft high-performing ads and landing experiences. Troubleshoot issues related to ad delivery, tracking, targeting, or performance drops in real time. Manage campaign budgets across channels, ensuring efficient allocation and maximum ROI. Build detailed weekly and monthly reports, highlighting key insights, optimization actions, and budget usage. Stay up to date on platform changes, beta features, algorithm updates, and new ad formats. Set up and manage conversion tracking using UTM parameters, pixels, and Google Tag Manager. Conduct audience research and segmentation to target high-intent and high-converting user groups. Coordinate with vendors, agencies, or partners to execute large-scale or specialized campaign initiatives.", "teamCollaboration" : "Collaborate with content and design teams to craft high-performing ads and landing experiences. Coordinate with vendors, agencies, or partners to execute large-scale or specialized campaign initiatives.", "projectManagementSkills" : [ "manage multiple campaigns" ], "toolProficiency" : [ "Facebook Business Manager, Google Ads, TikTok Ads, HubSpot, Braze, Looker Studio, Tableau" ], "communicationSkills" : "communicate findings", "documentationSkills" : "build detailed reports", "continuousLearning" : "Stay up to date on platform changes, beta features, algorithm updates, and new ad formats.", "problemSolvingSkills" : "optimize paid digital campaigns; monitor campaign KPIs; conduct A/B testing; troubleshoot issues; manage campaign budgets; conduct audience research; retargeting strategies", "specialRequirements" : "All members are expected to be hands-on and to contribute directly to the company’s mission. Live and breathe performance marketing and get excited when CTR jumps by 2%. Love testing and retesting from headlines to audience slices to bidding methods. Are obsessed with numbers, patterns, and uncovering what’s working and what’s not. Move fast and execute independently without needing to be micromanaged. Know how to communicate findings with clarity, and suggest what to do next. Operate with urgency, ownership, and a startup your results speak for you. Can juggle multiple campaigns, deadlines, and adjustments with focus and precision.", "outcomesObjectives" : "Deliver ROI that matters. Ensure performance targets are met or exceeded. Identify what works. Ensure efficient allocation and maximum ROI. Move the needle.", "qualificationsBasic" : "Proven experience in digital advertising operations or performance marketing roles. Hands-on expertise in Facebook Business Manager, Google Ads, TikTok Ads, and related ad tools. Proficiency in analytics platforms such as Google Analytics, Meta Ads Reporting, and campaign dashboards. Understanding of ad formats, bidding strategies, campaign structures, and targeting mechanisms. Experience with conversion tracking, including UTM parameters, pixel setup, and Google Tag Manager. Familiarity with retargeting strategies, audience segmentation, and programmatic display. Exceptional attention to detail and the ability to manage multiple campaigns at once.", "qualificationsPreferred" : "Experience in a high-growth startup or digital-first company. Knowledge of SEO, email marketing, or affiliate/performance partner networks.", "rawDescription" : "RUN CAMPAIGNS THAT SCALE. DELIVER ROI THAT MATTERS. ABOUT BJAK We build superior application platforms globally with the mission of creating successful businesses while contributing positively to society by making it more efficient. We developed the first and leading insurance platform in Southeast Asia to digitize the insurance industry. The platform currently serves over 8 million users across the region. We are continuing our mission by building new, superior applications in emerging use cases as applications become increasingly integrated with AI. Our team is densely talented, highly motivated, and focused on engineering and product excellence within a very flat organization. All members are expected to be hands-on and to contribute directly to the company’s mission. WHAT YOU’LL DO - Plan, launch, and optimize paid digital campaigns across Meta (Facebook/Instagram), Google Ads, TikTok, and other relevant platforms. - Monitor and analyze campaign KPIs (CTR, CPC, CPA, ROAS) daily to ensure performance targets are met or exceeded. - Conduct A/B testing on ad creatives, copy, audiences, placements, and bidding strategies to identify what works. - Collaborate with content and design teams to craft high-performing ads and landing experiences. - Troubleshoot issues related to ad delivery, tracking, targeting, or performance drops in real time. - Manage campaign budgets across channels, ensuring efficient allocation and maximum ROI. - Build detailed weekly and monthly reports, highlighting key insights, optimization actions, and budget usage. - Stay up to date on platform changes, beta features, algorithm updates, and new ad formats. - Set up and manage conversion tracking using UTM parameters, pixels, and Google Tag Manager. - Conduct audience research and segmentation to target high-intent and high-converting user groups. - Coordinate with vendors, agencies, or partners to execute large-scale or specialized campaign initiatives. YOU’LL THRIVE HERE IF YOU... - Live and breathe performance marketing and get excited when CTR jumps by 2%. - Love testing and retesting from headlines to audience slices to bidding methods. - Are obsessed with numbers, patterns, and uncovering what’s working and what’s not. - Move fast and execute independently without needing to be micromanaged. - Know how to communicate findings with clarity, and suggest what to do next. - Operate with urgency, ownership, and a startup mentality; your results speak for you. - Can juggle multiple campaigns, deadlines, and adjustments with focus and precision. WHAT YOU BRING - Bachelor’s degree in Marketing, Advertising, Business, or related field. - Proven experience in digital advertising operations or performance marketing roles. - Hands-on expertise in Facebook Business Manager, Google Ads, TikTok Ads, and related ad tools. - Proficiency in analytics platforms such as Google Analytics, Meta Ads Reporting, and campaign dashboards. - Strong understanding of ad formats, bidding strategies, campaign structures, and targeting mechanisms. - Experience with conversion tracking, including UTM parameters, pixel setup, and Google Tag Manager. - Familiarity with retargeting strategies, audience segmentation, and programmatic display. - Exceptional attention to detail and the ability to manage multiple campaigns at once. - Certification in Google Ads, Meta Blueprint, or similar is highly desirable. NICE TO HAVE - Experience in a high-growth startup or digital-first company. - Knowledge of SEO, email marketing, or affiliate/performance partner networks. - Exposure to marketing automation tools or CRM platforms (e.g., HubSpot, Braze). - Familiarity with Looker Studio, Tableau, or custom BI dashboards. OUR TEAM & CULTURE We move fast. We’re lean. We don’t do fluff - we do results. Everyone at BJAK is expected to take ownership of their work, speak up with ideas, and move the needle. As a digital marketing team, we act like operators - we don’t just set campaigns live, we track, tweak, and scale what works. If you want to grow fast, operate with autonomy, and work on campaigns that reach millions, this is the right environment for you. WHAT YOU’LL GET - Competitive salary and performance-based bonuses. - Ownership of campaigns that directly impact revenue and growth. - Exposure to regional markets and cross-functional collaboration. - A team that values clear thinking, fast execution, and measurable outcomes.", "summaryDescription" : "Digital Marketing Executive at BJAK. Skills: paid digital campaigns, performance marketing, analytics platforms, campaign optimization, A/B testing. Plan, launch, and optimize paid digital campaigns across Meta (Facebook/Instagram), Google Ads, TikTok, and other relevant platforms. Monitor and analyze campaign KPIs daily to ensure performance targets are met or exceeded. Conduct A/B testing on ad creatives, copy, audiences, placements, and bidding strategies. Collaborate with content and design ", "createdAt" : "2026-06-14T21:04:37.716", "lastUpdated" : "2026-06-15T06:50:08.136", "ingestTimestamp" : "2026-06-14T21:04:37.716", "mongoId" : "6a2ca0c274d8ee00a09a33d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "campaign budget management", "conversion tracking", "audience segmentation", "ownership, urgency, attention to detail", "paid digital campaigns, performance marketing, analytics platforms, campaign optimization, A/B testing", "performance marketing", "manage multiple campaigns", "Google Ads", "Meta Blueprint", "Facebook Business Manager, Google Ads, TikTok Ads, HubSpot, Braze, Looker Studio, Tableau" ], "skillCount" : 10, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 804.7066, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d7a", "title" : "Principal Account-Based Marketing (ABM) Manager, NAMER Strategic Customer & Partner Marketing", "company" : "Amazon Web Services, Inc.", "industry" : "Marketing PR, Marketing, Cloud Computing", "salary" : { "min" : 142000.0, "max" : 192000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T07:55:46.494", "fingerprint" : "c0091efedc9ad609f18aee80c7ff77020328715e7686fe470a613a5b3dbd1b77", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448929/apply", "externalId" : "a2778d10-4693-427d-b274-f5be4975b08f", "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", "experienceLevel" : "Manager", "technicalSkills" : "Marketing automation, CRM platforms, Analytics tools, Reporting tools", "professionalSkills" : [ "Campaign management", "Integrated marketing", "Account-based marketing", "Customer acquisition", "Growth metrics", "Brand strategy" ], "hardSkillsList" : [ "Marketing campaign execution", "Data analysis", "Performance reporting" ], "hardSkills" : [ { "name" : "Marketing campaign execution", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" } ], "majorSkills" : "Account-Based Marketing, Campaign Management, Growth Marketing", "majorSkillsList" : [ "Account-Based Marketing", "Campaign Management", "Growth Marketing" ], "coreResponsibilities" : "Develop and execute integrated marketing campaigns, Manage ABM strategies, Collaborate with sales teams, Track and report on campaign performance, Analyze marketing data, Optimize campaigns for growth", "teamCollaboration" : "Sales teams; Marketing teams", "domainKnowledge" : "Cloud computing industry", "domainList" : [ "cloud-computing-industry" ], "domainSpecificKnowledge" : [ "Cloud computing industry" ], "problemSolvingSkills" : "Data analysis; Campaign optimization", "outcomesObjectives" : "Drive customer acquisition; Improve brand strategy; Achieve growth metrics", "qualificationsBasic" : "5+ years of experience in marketing, 3+ years of experience in account-based marketing (ABM), Experience developing and executing integrated marketing campaigns, Experience with marketing automation and CRM platforms, Experience with analytics and reporting tools", "qualificationsPreferred" : "Experience in the cloud computing industry, Experience working with sales teams, Experience with project management tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services is seeking a results-driven Principal Account-Based Marketing (ABM) Manager to design and execute high-impact ABM programs targeting AWS's top 2,000 Greenfield enterprise customers within a designated industry. This role combines strategic thinking with hands-on execution to drive measurable business outcomes through targeted marketing initiatives that convert high-potential greenfield accounts into active AWS customers. The Principal Account-Based Marketing Manager will own the end-to-end execution of industry ABM programs focused primarily on the top roughly 2,000 greenfield accounts across North America— enterprise organizations with significant cloud potential that have not yet adopted AWS as their primary platform. Working backwards from customer needs, you will create data-driven, multi-channel campaigns that accelerate pipeline and revenue growth within this critical greenfield segment. This role requires strong project management skills, analytical capabilities, and the ability to influence cross-functional stakeholders. Key job responsibilities • Design and execute territory-specific ABM campaigns (1:1, 1:few) targeting top 2,000 greenfield accounts that align with global frameworks and drive measurable business impact • Build and maintain strong relationships with sales teams to understand greenfield account priorities and translate them into effective marketing programs that accelerate first-workload adoption • Analyze customer data, buying signals, and market trends to identify and prioritize high-potential greenfield accounts and inform campaign strategy and optimization • Create and implement multi-channel programs (events, digital, direct) that deliver personalized customer experiences • Partner with regional marketing teams to ensure ABM programs complement broader field marketing efforts • Drive operational excellence through standardized processes, documentation, and best practices • Track and report on program performance, using data to optimize and scale successful approaches • Manage program budgets effectively, demonstrating frugality while maximizing impact • Collaborate with global ABM community to share learnings and adopt proven practices • Develop and manage account-level ABM plans with tiered engagement models (1:1, 1:few, 1:many) tailored to account maturity, buying stage, and industry vertical • Leverage intent data platforms (6sense, Bombora, TechTarget) to identify in-market greenfield accounts and orchestrate real-time, signal-based campaign activations • Build persona-based content strategies targeting C-suite, IT decision-makers, and line-of-business buyers with personalized messaging across the full buyer journey • Design and execute integrated ABM plays that span paid media, programmatic display, LinkedIn advertising, executive events, direct mail, and digital experience personalization • Orchestrate multi-touch ABM sequences using marketing automation (Marketo/HubSpot) and ABM platforms to nurture greenfield accounts from awareness to opportunity creation • Develop account scoring and prioritization frameworks using firmographic, technographic, and behavioral data to focus resources on highest-propensity accounts • Create measurement frameworks with ABM-specific KPIs including account penetration rates, engagement velocity, pipeline acceleration, and influenced revenue attribution • Partner with Sales Development Representatives (SDRs) to align outbound plays with ABM campaign timing for coordinated account engagement Basic Qualifications: - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - 9+ years of professional non-internship marketing experience - Demonstrated experience managing ABM technology stacks (e.g., 6sense, Demandbase, Terminus, or equivalent intent/engagement platforms) Preferred Qualifications: - ABM certification (ITSMA/Momentum, Demandbase, 6sense, or equivalent ABM practitioner certification) - Experience managing programmatic ABM advertising campaigns (LinkedIn Campaign Manager, DemandBase One, RollWorks, or equivalent) 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. Pursuant to the San Francisco 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, Mountain View - 156,100.00 - 211,200.00 USD annually USA, CA, San Francisco - 156,100.00 - 211,200.00 USD annually USA, NY, New York - 156,100.00 - 211,200.00 USD annually USA, TX, Austin - 142,000.00 - 192,000.00 USD annually USA, VA, Arlington - 142,000.00 - 192,000.00 USD annually USA, WA, Seattle - 142,000.00 - 192,000.00 USD annually", "summaryDescription" : "Principal Account-Based Marketing (ABM) Manager, NAMER Strategic Customer & Partner Marketing at Amazon Web Services, Inc.. Skills: Account-Based Marketing, Campaign Management, Growth Marketing. Develop and execute integrated marketing campaigns. Manage ABM strategies", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:37.650", "lastUpdated" : "2026-06-16T07:55:46.494", "ingestTimestamp" : "2026-06-15T22:01:37.650", "mongoId" : "6a305649f292fd229cf26d7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448929/apply", "salaryAnnualMin" : 142000, "salaryAnnualMax" : 192000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing campaign execution", "Data analysis", "Performance reporting", "Account-Based Marketing", "Campaign Management", "Growth Marketing", "Campaign management", "Integrated marketing", "Account-based marketing", "Customer acquisition", "Growth metrics", "Brand strategy", "Cloud computing industry" ], "skillCount" : 13, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 786.69257, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305750f292fd229cf37c37", "title" : "Senior Business Intelligence Analyst – Product Analytics", "company" : "ZoomInfo Technologies LLC", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:46:55.942", "fingerprint" : "5f805319f5556283dd8f227f06ff5eddef1b3cfa6b34cf8b1616ae9d9b91e93d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8561605002", "externalId" : "8561605002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Business intelligence, Data science, Data engineering", "majorSkillsList" : [ "Product analytics", "Business intelligence", "Data science", "Data engineering" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Build and optimize data pipelines, Perform complex data analysis, Collaborate with product managers, Identify key product metrics, Drive data-informed product decisions, Communicate findings to stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. Develop and maintain BI dashboards. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:23:13.490", "createdAt" : "2026-06-15T23:23:13.490", "lastUpdated" : "2026-06-16T07:46:55.942", "ingestTimestamp" : "2026-06-15T23:23:13.490", "mongoId" : "6a305750f292fd229cf37c37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference", "Product analytics", "Business intelligence", "Data science", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud data platforms", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 781.6268, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c695674d8ee00a0906fbc", "title" : "Marketing Operations & Analytics Lead", "company" : "Sierra", "industry" : "Operations", "salary" : { "min" : 215000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "timestamp" : "2026-06-15T07:50:39.353", "fingerprint" : "358c4fe8d6770343b6351021b33ada1f92f3f7590162dd50f01f0cf42aa85ce8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Sierra/8a906ec6-5ec5-4619-82de-7a3c665998f5/application", "externalId" : "8a906ec6-5ec5-4619-82de-7a3c665998f5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL", "professionalSkills" : [ "Attribution modeling", "Funnel analysis", "Revenue measurement", "Data-driven ICP scoring", "Account prioritization", "Experiment design", "Multivariate testing", "Lead scoring", "MQL thresholds", "Routing logic", "Campaign execution", "List management", "Performance analysis", "Forecasting" ], "hardSkillsList" : [ "Pipeline analytics", "Performance reporting", "Lead management", "Campaign operations" ], "hardSkills" : [ { "name" : "Pipeline analytics", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" }, { "name" : "Lead management", "level" : "intermediate" }, { "name" : "Campaign operations", "level" : "intermediate" } ], "majorSkills" : "Marketing attribution, Marketing operations, Pipeline analytics, Performance reporting", "majorSkillsList" : [ "Marketing attribution", "Marketing operations", "Pipeline analytics", "Performance reporting" ], "coreResponsibilities" : "Design marketing attribution framework, Connect campaigns to pipeline, Analyze pipegen by vertical, Analyze pipegen by region, Analyze pipegen by segment, Track conversion rates, Surface opportunity generation, Build performance dashboards, Maintain performance dashboards, Develop ICP scoring models, Develop account prioritization models, Integrate intent signals, Design A/B tests, Design multivariate tests, Establish statistical standards, Translate results into recommendations, Define lead scoring models, Define MQL thresholds, Define routing logic, Ensure lead quality, Minimize friction, Improve MQL conversion, Own campaign infrastructure, Build execution processes, Serve as analytical bridge, Serve as operational bridge, Ensure marketing metrics alignment, Contribute to QBRs, Contribute to annual planning", "teamCollaboration" : "Partner with Marketing; Partner with Sales; Partner with GTM Ops; Partner with Finance; Partner with Sales leadership", "domainKnowledge" : "Enterprise sales cycles", "domainList" : [ "enterprise-sales-cycles" ], "domainSpecificKnowledge" : [ "Enterprise sales cycles" ], "toolProficiency" : [ "Marketo", "HubSpot", "Salesforce", "ClickHouse", "Snowflake", "BigQuery" ], "communicationSkills" : "Clear narratives", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "12+ years marketing analytics, 12+ years marketing operations, Deep expertise attribution modeling, Deep expertise multi-touch funnel analysis, Deep expertise pipeline revenue measurement, Hands-on martech stack experience, Marketing automation experience, Salesforce experience, Lead routing experience, Third-party enrichment tools experience, SQL fluency, Translate complex analyses, Clear narratives non-technical stakeholders", "qualificationsPreferred" : "Experience with ClickHouse, Experience with Snowflake, Experience with BigQuery", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. The role This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale. What you'll do - Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions. - Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and aren't—generating high-quality opportunities. - Performance reporting: Build and maintain the marketing team's core performance dashboards—campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity. - ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs. Integrate signals from first-party and third-party intent sources to keep targeting sharp. - Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations—not just p-values. - Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline. - Campaign operations: Own the operational infrastructure behind campaign execution—email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt. - Cross-functional partnership: Serve as the analytical and operational bridge between Marketing, GTM Ops, Finance, and Sales leadership—ensuring marketing metrics are aligned with company PG, POC, and ARR targets; contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts What you'll bring - 12+ years spanning marketing analytics and marketing operations - Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles - Hands-on martech stack experience—marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools - Strong SQL skills; fluency working with large datasets in modern data stacks (ClickHouse, Snowflake, BigQuery, or similar) - Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives - High attention to detail and a strong point of view on what \"good\" looks like—you've built this infrastructure before and know where the landmines are OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.", "summaryDescription" : "Marketing Operations & Analytics Lead at Sierra. Skills: Marketing attribution, Marketing operations, Pipeline analytics, Performance reporting. Design marketing attribution framework. 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Brand strategy; Growth metrics", "domainList" : [ "customer-acquisition", "brand-strategy", "growth-metrics" ], "domainSpecificKnowledge" : [ "Customer acquisition", "Brand strategy", "Growth metrics" ], "toolProficiency" : [ "Marketing automation platforms", "CRM systems", "Data analysis tools", "Reporting tools" ], "communicationSkills" : "Performance reporting", "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Process optimization; Performance analysis", "outcomesObjectives" : "Drive customer acquisition; Improve campaign performance; Achieve growth targets", "qualificationsBasic" : "5+ years of experience in marketing operations, Bachelor's degree in Marketing, Business, or related field", "qualificationsPreferred" : "Experience with marketing automation platforms, Familiarity with CRM systems, Experience with data analysis and reporting tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are looking to add a Marketing and Tradeshow Coordinator to our team. If you are passionate about marketing, thrive in a dynamic and challenging environment, and are interested in working with a company focused on satellites, spacecraft, and aerospace systems, we would like to hear from you. The ideal candidate will play a pivotal role in executing B2B marketing strategies and coordinating tradeshows, contributing to the overall success of our events, brand, and company. ## JOB DUTIES AND RESPONSIBILITIES Marketing Operations Leadership Lead the operational management of the Marketing Communications function to ensure projects, initiatives, and deliverables are executed effectively and on schedule. Establish, maintain, and continuously improve marketing workflows, project management processes, approval systems, and documentation standards. Develop operational frameworks that improve visibility, accountability, and execution across the marketing organization. Monitor organizational priorities, workload distribution, resource constraints, and project dependencies to ensure alignment with business objectives. Identify operational risks and develop mitigation strategies to minimize disruption to critical initiatives. Project Portfolio Management Oversee and coordinate multiple concurrent marketing, communications, business development, and corporate initiatives. Develop and maintain integrated project plans, timelines, milestones, and status reporting mechanisms. Facilitate prioritization discussions and resource coordination across competing initiatives. Monitor project execution and proactively address schedule risks, bottlenecks, and operational challenges. Lead recurring project reviews, operational meetings, and cross-functional planning sessions. Cross-Functional Business Partnership Serve as a primary operational liaison between Marketing Communications and internal stakeholders, including Executive Leadership, Business Development, Human Resources, Recruiting, Engineering, Operations, Finance, and Program Management. Coordinate executive engagement activities associated with customer meetings, trade shows, conferences, and strategic business initiatives. Ensure marketing requests, priorities, and deliverables are effectively communicated, reviewed, and executed. Facilitate alignment among stakeholders to ensure business objectives, timelines, and expectations remain coordinated. Support strategic initiatives that require cross-functional planning and execution. Vendor, Contract, and Budget Administration Manage operational aspects of vendor relationships, including onboarding, contract coordination, purchase requests, invoice management, and payment tracking. Partner with Finance and Procurement to ensure compliance with company purchasing processes and financial controls. Maintain visibility into marketing expenditures, commitments, and budget utilization. Develop and maintain documentation supporting budget planning, forecasting, and financial reporting activities. Ensure vendor records, contracts, invoices, and supporting documentation remain accurate and organized. Process Governance and Documentation Management Establish and maintain standards for documentation, approvals, records management, and information accessibility across the marketing organization. Govern version control, document retention, and asset management processes. Develop scalable systems that improve organizational knowledge management and continuity. Lead initiatives to improve operational efficiency, consistency, and process maturity. Ensure marketing materials, presentations, and communications comply with established approval and documentation requirements. Communications and Execution Support Support execution of internal and external communications initiatives through operational planning, coordination, and governance. Coordinate review and approval workflows for marketing communications and high-visibility deliverables. Support executive presentations, customer engagements, trade shows, investor activities, and strategic corporate initiatives. Ensure operational excellence and consistency across all marketing activities. Perform additional duties and special projects as assigned to support organizational objectives. ## JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS Bachelor’s degree in Marketing, Communications, Business, or 8+ years of work experience 5+ years of experience in marketing operations, communications coordination, project management Advanced knowledge of project management, workflow optimization, operational planning, and process improvement methodologies. Strong ability to influence outcomes and drive alignment across functions without direct authority. Demonstrated ability to independently manage complex initiatives and operational challenges. Exceptional organizational, analytical, and problem-solving skills. Strong business acumen and ability to balance operational requirements with organizational priorities. Excellent written, verbal, and presentation communication skills. Advanced proficiency with Microsoft Office Suite, project management tools, and collaboration platforms. Ability to establish credibility and build relationships across all levels of the organization. High degree of professionalism, discretion, and attention to detail. Ability to travel occasionally in support of business needs. ## Additional Information CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package featuring health, dental, vision, HSA, FSA, life and retirement plans. CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members not through our approved vendor list or Talent Acquisition will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees. CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans. CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.", "summaryDescription" : "Marketing Operations Manager at CesiumAstro. Skills: Marketing operations, Campaign management, Growth metrics. Develop and execute marketing campaigns. 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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" : "Digital Marketing Manager. Skills: Digital marketing execution, Campaign management, Website optimization, Conversion rate optimization. Own and manage end-to-end digital marketing execution. 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We are starting by building the largest, most loved pharmacy business in the world. We are a fast-growing, technology-first startup driven by perfecting the patient and pharmacist experience. Nimble fosters a culture of collaboration, open communication and deliberate action that allows us to face today’s most exciting challenges head-on and grow incredibly quickly. We’re looking for an Ad Campaign Manager to support the execution, optimization, and performance strategy across pharma campaigns. This is a great opportunity for someone early in their media career who wants hands-on experience in healthcare advertising and performance marketing. ## As an Ad Campaign Manager, you will Support the onboarding and setup of new ad campaigns with pharmaceutical brands and healthcare advertisers, ensuring smooth and timely launches Manage day-to-day campaign operations, including trafficking creative assets, adjusting budgets, implementing optimizations, and setting up A/B tests Monitor campaign performance across digital platforms and deliver timely, insightful reports with actionable recommendations (including delivery, CTR, engagement, and patient action metrics) Collaborate closely with the Business Development team to scope campaign opportunities, create proposals, and provide performance forecasts Proactively optimize campaigns to hit performance benchmarks Collaborate closely with the Business Development team to scope campaign opportunities, create proposals, and provide performance forecasts Partner with Product, Engineering, and Analytics teams to align on technical implementation and ensure accurate tracking, reporting, and delivery against client goals ## What you bring 1-4 years of experience in digital media, campaign management, or paid advertising Agency or in-house marketing experience preferred Healthcare or pharma experience is a plus, but not required Familiarity with digital ad platforms (Meta, Google Ads, DSPs, etc.) Strong attention to detail and QA mindset Comfortable working in Excel or Google Sheets Are curious about data and eager to learn optimization strategies Organized and able to manage multiple campaigns at once Proactive communicator who asks questions and seeks clarity Ability to work in a fast-paced, evolving environment Excitement to grow within a high-impact healthcare tech company Bachelor's degree ## What’s in it for you Compassionate and driven colleagues in a collaborative, high-impact environment Direct access to executives and a transparent company culture Accelerated career growth in a fast-growing company Rare opportunity to shape the future of healthcare and improve the lives of millions The chance to work on something meaningful — your (grand)parents and (grand)children will understand and appreciate what you do Comprehensive Medical / Dental / Vision / 401K benefits package Flexible Vacation Policy 11 Paid Holidays Work out of our HQ in beautiful downtown Redwood City ## Additional Information At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey! Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.", "summaryDescription" : "Ad Campaign Manager at Nimble. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Develop brand strategy. Drive customer acquisition", "postedDate" : "2026-06-15T20:29:04.336", "createdAt" : "2026-06-15T20:29:04.336", "lastUpdated" : "2026-06-16T14:46:17.914", "ingestTimestamp" : "2026-06-16T03:24:31.490", "mongoId" : "6a306eaaf292fd229cfe0f04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 769.64966, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c941a74d8ee00a0989afc", "title" : "Senior Systems Analyst – Reporting & EDI Analytics", "company" : "ASSYST, Inc.", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Analyst in the Healthcare industry in India, adjusted for seniority and full-time employment." }, "location" : "Client Location", "locations" : [ "Client Location" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:05:35.317", "fingerprint" : "529ec775ca0e3d08d2a7e329162a447a6dfb05db17f45c5ba1fd2fe68b99dab4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/assystinc/jobs/4272815009", "externalId" : "4272815009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "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, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Data modelling; Regression; Classification; Clustering; Time-series analysis; A/B testing; Causal inference; AWS services; GCP services; Azure services", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-modelling", "regression", "classification", "clustering", "time-series-analysis", "a-b-testing", "causal-inference", "aws-services", "gcp-services", "azure-services" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data modelling", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services" ], "toolProficiency" : [ "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", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake", "rawDescription" : "ASSYST is seeking an experienced Senior Systems Analyst – Reporting & EDI Analytics to support our client by designing, developing and maintaining complex reports, dashboards, data extracts and analytical solutions. This role is responsible for transforming business and operational data into actionable insights while supporting Electronic Data Interchange (EDI) analysis and data validation activities. The ideal candidate will have strong expertise in SQL, reporting tools, data analysis, dashboard development and healthcare-related data environments. Roles & Responsibilities: Design, develop, implement and maintain complex operational and federally mandated reports. Analyze reporting requirements and identify effective approaches for report generation, dashboard development and data extraction solutions. Develop complex SQL queries, stored procedures and data extraction processes using PostgreSQL and other database platforms. Create interactive reports and dashboards using Tableau, Power BI, or equivalent reporting tools. Identify opportunities to securely share and distribute data across internal and external stakeholders. Perform data analysis and interpretation to support management decision-making, policy development and operational reviews. Evaluate data quality and system functionality using database applications and analytical tools. Analyze business processes and translate reporting requirements into data-driven solutions, reports and dashboards. Collaborate with cross-functional teams in a fast-paced environment to deliver reporting and analytical solutions. Perform Medicaid 8001 Flat File validation and analysis. Review Member Person Index (MPI) records for SSN matching and Master Data Management (MDM) validation. Conduct HBX system error analysis, validate 1095-A and 1095-B files and reconcile Medicaid 8001 transactions. Support development, testing and EDI operations teams by analyzing, troubleshooting, testing and transmitting EDI files on a daily basis. Create data change requests to resolve consumer-reported and system-generated errors. Coordinate with technical and business teams to analyze error reports and perform root cause analysis for transaction rejections. Access and analyze application and database data to identify and resolve system issues. Ensure compliance with all security, change management, project governance and operational procedures. Required Skills & Qualifications: Required Experience: Minimum 5 years of experience in data extraction, data analysis, report generation and dashboard development. Minimum 5 years of experience developing complex SQL queries, stored procedures and custom reports within large-scale IT environments. Minimum 5 years of experience developing reports and dashboards using Tableau, Power BI, or similar reporting platforms. Minimum 2 years of experience translating business requirements into meaningful dashboards and data visualizations. Experience designing, implementing and maintaining reporting databases and data warehouses. Strong understanding of data modeling, data warehousing and ETL processes. Excellent analytical, problem-solving, communication and stakeholder management skills. Ability to manage multiple priorities and deliver results within tight deadlines. Preferred Qualifications: 8+ years of hands-on experience designing and developing complex SQL queries, stored procedures and reporting solutions. 4+ years of experience working with PostgreSQL databases for reporting and4+ years of experience developing advanced Tableau dashboards and analytical reports.. Extensive knowledge of data sources, data flow, system integrations and advanced reporting methodologies. Experience supporting health insurance marketplaces, healthcare organizations, or Health and Human Services programs. Hands-on experience with data visualization, report automation and advanced data analytics. Familiarity with web technologies such as HTML, CSS and JavaScript. Experience with programming languages such as Python, Java, or equivalent technologies. Knowledge of EDI transaction sets including 834, 820 and 999. Understanding of Medicaid and Qualified Health Plan (QHP) eligibility processes. Knowledge of EDI 834 enrollment transactions, including Adds, Terminations, Cancellations and Life Event processing. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.", "summaryDescription" : "Senior Systems Analyst – Reporting & EDI Analytics at ASSYST, Inc.. Skills: Data science, Data engineering, Machine learning, Business intelligence", "postedDate" : "2026-06-14T18:34:38.882", "createdAt" : "2026-06-14T18:34:38.882", "lastUpdated" : "2026-06-16T06:05:35.317", "ingestTimestamp" : "2026-06-14T18:34:38.882", "mongoId" : "6a2c941a74d8ee00a0989afc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Data modelling", "Data science", "Data engineering", "Business intelligence", "ML engineering", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "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", "AWS", "GCP", "Azure" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 766.14716, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb00c74d8ee00a09d8a24", "title" : "Marketing Analytics Lead", "company" : "Hostinger", "industry" : "Revenue & Data", "salary" : { "min" : 6000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T21:50:22.493", "fingerprint" : "7ad60b110ab202f295d93dc2e4bf703557a4149ef2e51d0f4a2b9324d731f9cf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hostinger/c29a806f-503f-47a8-9ac7-cf3b6b0c1abd/application", "externalId" : "c29a806f-503f-47a8-9ac7-cf3b6b0c1abd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Tableau", "professionalSkills" : [ "Data analysis", "Business decisions", "Stakeholder management" ], "hardSkillsList" : [ "Data analytics", "Data visualization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Team building, Data-driven decision making", "majorSkillsList" : [ "Marketing analytics", "Team building", "Data-driven decision making" ], "coreResponsibilities" : "Set standard for data-driven decision-making, Uphold standard for data-driven decision-making, Ensure marketing strategies are backed by data, Ensure marketing decisions are backed by data, Lead execution of marketing analytics projects, Translate raw data into growth opportunities, Build a team, Hire analysts, Onboard analysts, Mentor analysts, Inspire analysts, Foster a culture, Collaborate with marketing leaders, Align analytical roadmaps with goals, Take ownership of delivery lifecycle, Refine complex requirements, Prioritize backlog, Ensure working on highest impact bets, Iterate on team setup, Iterate on ways of work, Integrate AI, Integrate emerging technologies, Test decentralised leadership concepts, Go full agile, Reinvent the playbook", "teamCollaboration" : "Collaborate with marketing leaders; Collaborate across seniority levels; Bridge gap between technical colleagues; Bridge gap between non-technical colleagues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Marketing fundamentals; Marketing attribution concepts", "domainList" : [ "marketing-fundamentals", "marketing-attribution-concepts" ], "domainSpecificKnowledge" : [ "Marketing fundamentals", "Marketing attribution concepts" ], "toolProficiency" : [ "Tableau" ], "continuousLearning" : "Access to Reforge; Access to Scribd; Global conferences; Physical libraries; Digital libraries; Mentoring through TesoXchange", "innovationCreativity" : "Integrate AI; Integrate emerging technologies; Test decentralised leadership concepts; Go full agile; Reinvent the playbook", "problemSolvingSkills" : "Data analysis; Translate complex data", "qualificationsBasic" : "Proven hiring skills, Proven onboarding skills, Proven leadership skills, Extensive hands-on data analytics experience, Proficiency in SQL, Proficiency in data visualization tools, Business acumen, Stakeholder management experience", "qualificationsPreferred" : "Knowledge of marketing attribution concepts, Interest in marketing attribution concepts, Tableau proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Hostinger, and we’ll grow fast! \uD83D\uDE80 We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 5 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before. Our mission: To provide tools that help individuals and small businesses succeed online faster and easier. Our culture: Guided by 10 company principles https://www.hostinger.com/principles. Our formula for success: Customer obsession, innovative products, and talented teams. As a Marketing Analytics Lead, you won’t just support our marketing analytics strategy - you will create and implement it. You will build and empower a team of high-caliber analysts to transform complex datasets into competitive intelligence that fuels our global growth. By owning the standard for data-driven decision-making, you will raise the bar for speed, precision and impact across Hostinger's multi-channel operation - from Affiliates and Influencers to PPC and Organic. Sounds like an exciting challenge? Let us meet and discuss how you can help scale Hostinger even further. Your day-to-day - Set and uphold the standard for data-driven decision-making, ensuring our marketing strategies and decisions are backed by data. - Lead the execution of marketing analytics projects, translating raw data into growth opportunities. - Build a team better than yourself - hire, onboard, mentor and inspire a squad of high-performing analysts, fostering a culture where technical mastery intersects curiosity and drive. - Collaborate directly with marketing leaders (Affiliates, Influencers, PPC, SEO, Product Marketing Managers and other) to align analytical roadmaps with our goals. - Take full ownership of delivery lifecycle - from refining complex requirements to prioritizing the backlog, constantly ensuring we're always working on the highest impact bets. - Keep on iterating in terms of team setup and ways of work - integrate AI or other emerging technologies, test decentralised leadership concepts or go full agile - freedom to reinvent the playbook. Your skills and experience - Proven hiring, onboarding and leadership skills with a track record of building environments where people perform at their peak. - A relentless drive for achieving ambitious goals through data analysis, together with uncompromising standards for quality and speed of delivery. - Solid understanding of marketing fundamentals, data signatures of different channels and marketing attribution concepts (or a strong willingness and interest to learn). - Extensive hands-on data analytics experience, with proficiency in SQL & data visualization tools (we use Tableau). - Strong business acumen with a proven track record of translating complex data into impactful business decisions. - Stakeholder management experience - ability to collaborate effectively across different seniority levels and bridge the gap between technical and non-technical colleagues. - An innovative, results-oriented attitude that constantly seeks to improve processes, team setup and outcomes. Benefits for you - \uD83D\uDE80 360 Growth: We provide limitless learning opportunities https://www.hostinger.com/blog/learning-culture: access to platforms like Reforge and Scribd, global conferences, physical and digital libraries, feedback culture https://www.hostinger.com/blog/reaching-your-peak, and mentoring through TesoXchange https://tesoxchange.com/. Advance your career with internal mobility and grow with a team eager to share knowledge and support your success. - \uD83C\uDFAF Freedom & responsibility: Work on your terms: from modern offices in Kaunas, Vilnius, or Indonesia, the comfort of home, or anywhere in the world. Enjoy flexibility in managing your schedule and bring your ideas to life in a fast-paced, dynamic environment. - \uD83D\uDCAAWellness simplified: Your health comes first with insurance from Day 1, gym memberships, recharge leave, and regular health checks. Join sports, arts, and hobby clubs or simply enjoy the balance of a lifestyle that prioritizes wellness. - \uD83C\uDF89 Work hard - play hard: Celebrate your achievements with company events like Summerfest https://www.youtube.com/watch?v=W-R7mLEwk6Q&ab_channel=HostingerUnfiltered & Winterfest https://www.linkedin.com/posts/hostinger_party-venicecarnival-celebration-activity-7284893033827823616-1mWO/?utm_source=share&utm_medium=member_desktop, Town Hall, Meet the Client initiatives, team-buildings, and workations. Enjoy access to the Žalgiris Arena VIP Lounge and celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. Compensation - Gross salary starting from 6000 EUR/month, depending on your experience and skills. We’re always looking for experienced talent to raise the bar. If you’re excited about the role but the listed salary range doesn’t align with your expectations, we still encourage you to apply - we’re open to adjusting compensation based on the impact and value you bring. Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey \uD83D\uDE80 Three. Two. Onboard", "summaryDescription" : "Marketing Analytics Lead at Hostinger. Skills: Marketing analytics, Team building, Data-driven decision making. Set standard for data-driven decision-making. 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Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes. We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well. While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together—no matter where they’re based. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros. We also offer: A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k) Paid holidays and flexible, take-it-as-you-need-it paid time off Equity in a rapidly growing startup backed by top-tier VCs Monthly tech reimbursements A culture built on innovation that values big ideas, no matter where they come from Role Overview As a Director, Customer Marketing able to zoom out to strategy and zoom in to campaign details Location Dependent Information This role is open to candidates and the expected salary range for this role is $122,000-$165,000 + bonus + equity. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro’s equity plan and the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we’re scaling our team to help enable and accelerate our growth. Use of Artificial Intelligence in Hiring and Engagement Processes: We may use artificial intelligence (AI)-powered tools to support the review and evaluation of employment and independent contractor applications, including screening and qualification assessments. All final hiring and engagement decisions are made by human representatives, not AI tools. Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 50,000 businesses and have over 2,000 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you. Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-Remote Privacy Notice for California Job Candidates - Housecall Pro", "summaryDescription" : "Director, Customer Marketing & Intelligence at Housecall Pro. Skills: Customer marketing, Marketing intelligence. Zoom out to strategy. Zoom in to campaign details", "postedDate" : "2026-06-13T16:50:53.458", "createdAt" : "2026-06-13T16:50:53.458", "lastUpdated" : "2026-06-15T06:00:23.197", "ingestTimestamp" : "2026-06-13T16:50:53.458", "mongoId" : "6a2c7d8b74d8ee00a094ffb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 122000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Leadership", "Customer marketing", "Marketing intelligence", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 7, "jobCategory" : "marketing", "jobSubcategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 762.6089, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305649f292fd229cf26d7b", "title" : "Principal Account-Based Marketing Manager, Private Equity, NAMER Strategic Customer & Partner Marketing", "company" : "Amazon Web Services, Inc.", "industry" : "Marketing PR, Marketing, Cloud Computing", "salary" : { "min" : 156100.0, "max" : 211200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:58:34.901", "fingerprint" : "72d4e242e26f821c9cbc58b3399e99031702a4716f1ae2edbfb5573c1c36d22c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448928/apply", "externalId" : "3ad7f450-1edb-43b7-b9e0-02e31bd3417c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Marketing automation, CRM platforms, Analytics, Reporting tools, Salesforce, Marketo, Tableau", "professionalSkills" : [ "Account management", "Strategic planning", "Campaign management", "Data analysis", "Performance measurement" ], "hardSkillsList" : [ "Account-based marketing", "Marketing strategy", "Campaign execution", "Data analysis", "Performance reporting" ], "hardSkills" : [ { "name" : "Account-based marketing", "level" : "intermediate" }, { "name" : "Marketing strategy", "level" : "intermediate" }, { "name" : "Campaign execution", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" } ], "majorSkills" : "Account-based marketing, Marketing strategy, Campaign management", "majorSkillsList" : [ "Account-based marketing", "Marketing strategy", "Campaign management" ], "coreResponsibilities" : "Develop and execute account-based marketing strategies, Identify and target key accounts, Create and manage integrated marketing campaigns, Collaborate with sales teams, Measure and report on campaign performance, Manage marketing automation and CRM platforms, Analyze marketing data, Optimize marketing efforts", "teamCollaboration" : "Sales teams; Cross-functional teams", "projectManagementSkills" : [ "Campaign management" ], "domainKnowledge" : "Private equity industry", "domainList" : [ "private-equity-industry" ], "domainSpecificKnowledge" : [ "Private equity industry" ], "toolProficiency" : [ "Marketing automation platforms", "CRM platforms", "Analytics tools", "Reporting tools", "Salesforce", "Marketo", "Tableau" ], "communicationSkills" : "Campaign reporting; Sales enablement", "documentationSkills" : "Marketing plans; Campaign reports", "problemSolvingSkills" : "Data analysis; Campaign optimization", "outcomesObjectives" : "Drive pipeline growth; Increase account engagement; Improve marketing ROI", "qualificationsBasic" : "5+ years of experience in marketing, 3+ years of experience in account-based marketing, Experience developing and executing marketing strategies, Experience with marketing automation and CRM platforms, Experience with analytics and reporting tools", "qualificationsPreferred" : "Experience in the private equity industry, Experience with Salesforce, Experience with Marketo, Experience with Tableau", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Amazon Web Services (AWS) is seeking an experienced Principal Account-Based Marketing (ABM) Manager to serve as the first dedicated marketing resource supporting the AWS Global Private Equity (PE) team. This is a unique, high-impact role at the intersection of PE firm engagement and portfolio company (PortCo) demand generation and is intended to generate bi-directional value between PE firms and AWS. The AWS Global PE team's mission is to help PE investors increase asset value through AWS adoption — from pre-acquisition due diligence through value creation, plan execution, and exit. This role will design and execute ABM strategies that accelerate AWS adoption across PE firms and their portfolio companies, with a focus on Tier 0 and Tier 1 firms and their highest-potential PortCos. As the inaugural ABM hire for PE, you will operate as a strategic marketing partner to the PE leadership team, building the ABM plan aligned to the PE business strategy. You will develop 1:1 and 1:few ABM campaigns targeting PE Operating Partners, Investment Partners, and PortCo CxOs — driving awareness, engagement, pipeline, and revenue across the PE investment lifecycle. This is a global role reporting into the NAMER Marketing team with the potential to execute globally across NAMER, EMEA, and APJ based on GEO marketing and PE priorities. Key job responsibilities PE Firm-Level ABM Strategy: Design and execute account-based marketing plans for Tier 0 and Tier 1 PE firms (e.g., Blackstone, KKR, Francisco Partners, Permira, Thoma Bravo), tailoring messaging to Operating Partners, Investment Partners, and Deal Teams based on their investment thesis and portfolio focus areas. Portfolio Company Demand Generation: Develop targeted campaigns to drive AWS adoption across PE-backed portfolio companies, with emphasis on Greenfield PortCos, first-100-day post-acquisition engagement, and industry-specific value creation opportunities across FSI, Healthcare/Life Sciences, ISV, Retail, Infrastructure, Manufacturing, and Education. GenAI & Strategic Playbook Marketing: Create marketing motions aligned to the PE BD team's strategic playbooks — including GenAI/Agentic AI adoption, VMware migration, carve-outs, database modernization, and Technical Due Diligence support. Develop content and campaigns that accelerate PE portfolio companies from awareness to active adoption. Executive Engagement Programs: Plan and execute high-touch executive engagement activities including PE-specific Executive Briefing Centers, CxO roundtables, 1:many PortCo events hosted by PE firms, re:Invent programming (PE Executive Summit), PE Thrive forums, and Women's PE Thrive events. Build relationships with PE Operating Partners and Investment Partners at the firm level to unlock portfolio-wide influence. Content & Thought Leadership Development: Develop PE-specific content including personalized eBooks, case studies (e.g., KKR/Omnissa VMware migration, Blackstone/HealthEdge GenAI), industry insights for Investment Partners, and digital content for multi-channel distribution across email, LinkedIn, content hubs, and event programming. Create differentiated messaging that speaks to both firm-level investors and PortCo technology leaders. Cross-Functional Collaboration: Partner closely with PE BD Managers, firm-aligned Solutions Architects, Specialists, field sales teams, and global marketing counterparts across EMEA and APJC to ensure ABM motions are integrated with BD priorities and the four-tier PE coverage model. Align with field marketing, global campaigns, Partner marketing, and the PEP (PE Partner) program to ensure cohesive market presence. Measurement & Performance Optimization: Define and track ABM success metrics including pipeline influenced, PE firm engagement scores, PortCo conversion rates, Greenfield-to-Engaged conversion, PPA influence, and revenue attribution. Build reporting dashboards and share results with PE BD leadership and senior marketing leadership. Continuously optimize programs based on performance data and field team feedback and adopt a structured lead tracking framework across all the lead management cycle. Scalable Playbook & Center of Excellence: Leverage repeatable ABM frameworks, campaign templates, and engagement playbooks that can scale globally as the PE marketing function matures. Document best practices and contribute to the AWS ABM Center of Excellence community. Evangelize ABM best practices across the PE BD organization and demonstrate the value of marketing-led growth for complex ecosystem selling motions. Basic Qualifications: - 9+ years of professional non-internship marketing experience - Experience using data and metrics to drive improvements - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - Experience building, executing and scaling cross-functional marketing programs - Experience driving direction and alignment with cross-functional teams Preferred Qualifications: - Experience working cross-functionally with partner teams to drive adoption and usage of brand assets and messaging - Experience in strategic marketing management and market analysis and demonstrated ability to build and execute a strategy with clear goals and objectives to align to business and service objectives, and support portfolio objectives 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. Pursuant to the San Francisco 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, Mountain View - 156,100.00 - 211,200.00 USD annually USA, CA, San Francisco - 156,100.00 - 211,200.00 USD annually USA, NY, New York - 156,100.00 - 211,200.00 USD annually USA, TX, Austin - 142,000.00 - 192,000.00 USD annually USA, VA, Arlington - 142,000.00 - 192,000.00 USD annually USA, WA, Seattle - 142,000.00 - 192,000.00 USD annually", "summaryDescription" : "Principal Account-Based Marketing Manager, Private Equity, NAMER Strategic Customer & Partner Marketing at Amazon Web Services, Inc.. Skills: Account-based marketing, Marketing strategy, Campaign management. Develop and execute account-based marketing strategies. Identify and target key accounts", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:56.434", "lastUpdated" : "2026-06-16T07:58:34.901", "ingestTimestamp" : "2026-06-15T22:00:56.434", "mongoId" : "6a305649f292fd229cf26d7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448928/apply", "salaryAnnualMin" : 156100, "salaryAnnualMax" : 211200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Account-based marketing", "Marketing strategy", "Campaign execution", "Data analysis", "Performance reporting", "Campaign management", "Account management", "Strategic planning", "Performance measurement", "Private equity industry", "Marketing automation platforms", "CRM platforms", "Analytics tools", "Reporting tools", "Salesforce", "Marketo", "Tableau" ], "skillCount" : 17, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 762.10254, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b96f292fd229cf5f079", "title" : "Global HR Reporting and Analytics Lead (HR/Workday reporting)", "company" : "Clifford Chance", "industry" : "Legal Services", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Global HR Reporting and Analytics role in Delhi, India, adjusted for the legal industry and company size." }, "location" : "Delhi, IN", "locations" : [ "Delhi", "IN" ], "timestamp" : "2026-06-16T10:38:32.861", "fingerprint" : "c8905c3bf7fb478fafef899c77717d331d771cded5c56289145b02ff67298038", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CliffordChance/744000132165723-global-hr-reporting-and-analytics-lead-hr-workday-reporting-", "externalId" : "744000132165723", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "Delhi, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development" ], "hardSkillsList" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Influencing" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "HR analytics", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Influencing" } ], "majorSkills" : "HR Reporting, Analytics, Workday, Data Strategy", "majorSkillsList" : [ "HR Reporting", "Analytics", "Workday", "Data Strategy" ], "coreResponsibilities" : "Lead People Data, Reporting and Analytics function, Lead data and reporting strategy for Global HR, Translate business requirements into analytical framework, Implement and automate business needs on Workday, Automate business needs on BI tool, Drive analytics maturity through continuous improvement, Improve data quality, Improve data management practices, Ensure compliance with Data Privacy Guidelines, Develop standard reports, Develop ad hoc reports, Develop templates, Develop dashboards, Develop scorecards, Develop metrics, Prepare reports for management, Assist in HR projects, Assist in process improvement initiatives, Drive data management approach, Drive data governance processes, Drive Analytics platform adoption, Partner with global HR colleagues, Understand HR needs, Understand business questions, Determine required analysis, Determine required deliverables, Maintain business relationships with stakeholders, Build relevant analysis, Build relevant interpretation, Build the function through hiring, Sustain high-performance team, Develop team capabilities, Set objectives for team, Define clear roles, Define clear responsibilities, Cultivate accountability environment, Embed firm's code of conduct, Embed firm's values, Ensure succession planning, Create culture of learning, Create culture of teamwork, Create culture of camaraderie, Create culture of mutual support", "teamCollaboration" : "Global functional leads; Regional HR leaders; HRBPs; Global HR Operations Lead; Global HR colleagues", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People Strategy; HR processes; Talent Strategy; People Data; HR Reporting; HR Analytics; Data Privacy; Data Protection", "domainList" : [ "people-strategy", "hr-processes", "talent-strategy", "people-data", "hr-reporting", "hr-analytics", "data-privacy", "data-protection" ], "domainSpecificKnowledge" : [ "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Reporting", "HR Analytics", "Data Privacy", "Data Protection" ], "toolProficiency" : [ "Workday", "BI tool" ], "communicationSkills" : "Written communication; Verbal communication; Listening skills", "continuousLearning" : "Formal training; Informal coaching; Mentoring; Skills-based training; Technical training; On the job learning", "problemSolvingSkills" : "Analytical mindset; Creative streak; Good judgement; Prioritisation skills", "qualificationsBasic" : "5+ years HR reporting and analytics experience, Technical knowledge and business awareness", "qualificationsPreferred" : "Experience with Workday and BI tool", "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 Human Resources management develops and delivers the firm's People and Talent Strategy, designs and delivers the firm's people practices, designs employee and candidate experiences, and advises the firm's leadership on organisational and individual people matters. The HR Reporting and Analytics team provides the quantitative and qualitative data analysis and reporting of patterns, insights, and trends required to help leaders across organization make informed business decisions to build the workplace of the future. Who you will work with As HR Reporting and Analytics Lead, you will collaborate with global functional leads within HR, Regional HR leaders and HRBPs to lead the roadmap of the People Data, Reporting and Analytics function. This role utilizes various systems and data sources to deliver reports and dashboards. What you will be responsible for As HR Reporting and Analytics Lead, you will lead the People Data, Reporting and Analytics function of the organization. This is an important role requiring both technical knowledge and business awareness, providing stimulating opportunities to contribute to the People Strategy and key priorities. What you will do Strategic/Operational Responsibilities * In partnership with Global HR Operations Lead, take forward and lead the data and reporting strategy defined for Global HR. * Translate business requirements into sound and comprehensive analytical framework through appropriate usage of advanced statistical techniques. * Implement and automate business needs on Workday and BI tool for real time HR analytics. * Drive analytics maturity through continuous improvement in data quality data management practices, and standard tools and capabilities. * Ensure compliance with Data Privacy and Protection Guidelines. * Develop standard and ad hoc reports, templates, dashboards, scorecards, and metrics that drive insights focused on business issues and priorities. * Preparation of various Reports to support the Management needs and ensuring timely adherence to deadlines * Assist in various HR projects and continuous process improvement initiatives along with the Global HR Operations Lead. * Drive our data management and governance approach and processes. * Drive Analytics platform's adoption across the HR organisation * Partner with global HR colleagues to understand their needs and business questions to determine the required analysis and deliverables. * Maintain strong business relationships with key stakeholders to understand what is important to leadership and build relevant analysis and interpretation. People Leadership and Team Management Responsibilities * Build the function through hiring the required technical expertise and sustaining the high-performance team. * Develop capabilities of team members through objective setting, defining clear roles & responsibilities, and cultivating an environment of accountability * Embed the firm's code of conduct and values across the team * Ensuring appropriate succession/back-up planning of team members, to avoid breakage in service * Creating and fostering a culture of constant learning, teamwork, camaraderie, and mutual respect * Maintaining low attrition scores, and high employee and customer satisfaction ratings. ## Qualifications Your experience Desired Experience * Bachelor's/Master's degree or equivalent experience in MIS, Statistics, or similar field. * Experience in managing projects for diversified reporting systems. * Strong experience should be around Workday Reporting tools, Data architecture, Data Quality Management and Data visualisation. * Worked on BI/Analytics projects. * Knowledge of Workday Reporting, SQL, Power BI, Excel. * Good to have knowledge of programming, Python, Tableau and other analytical tools. * Knowledge of HR processes and HR technology applications and professional experience in HR or supporting HR analytics. * Excellent data management and analysis skills to assemble, clean and analyze data effectively. * Understand the process of data integration: including workforce data from central systems such as Workday and other HR applications including recruiting and talent technologies. * Eagerness to learn new things and understand the bigger picture. * Curiosity to better understand current processes and continual desire to improve on processes with ability to ask the right questions to improve quality of work. * Maintain a high degree of confidentiality, accuracy along with attention to detail. Communication and Presentation Skills * Excellent written and verbal communication skills, with strong listening skills. * Excellent negotiation and influencing skills. * Demonstrates credibility and influence with senior clients & stakeholders, to increase usage of services. Analytical and Strategic Thinking Skills * Analytical mindset, with a creative streak to identify and work with non-traditional approaches. * Good judgement and prioritisation skills. * Good knowledge of market trends and potential impact on the firm. Leadership, networking and organisational skills * Demonstrated ability of working in a matrixed environment and balance varying priorities. * Working closely with global stakeholders to shape and lead the department against strategic priorities. * Ability to organise support and to delegate effectively, as required. ## Additional Information 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. 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" : "Global HR Reporting and Analytics Lead (HR/Workday reporting) at Clifford Chance. Skills: HR Reporting, Analytics, Workday, Data Strategy. Lead People Data, Reporting and Analytics function. Lead data and reporting strategy for Global HR", "postedDate" : "2026-06-15T10:34:08.000", "createdAt" : "2026-06-16T00:17:38.008", "lastUpdated" : "2026-06-16T10:38:32.861", "ingestTimestamp" : "2026-06-16T00:17:38.008", "mongoId" : "6a305b96f292fd229cf5f079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting", "Leadership", "Negotiation", "Influencing", "HR Reporting", "Analytics", "Workday", "Data Strategy", "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development", "Roadmap planning", "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Analytics", "Data Privacy", "Data Protection", "BI tool" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 755.2106, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305ed5f292fd229cf74bc7", "title" : "Middle Marketing Analyst", "company" : "Kiss My Apps", "industry" : "Analytics Department", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Marketing Analyst in Ukraine's Technology industry, adjusted for mid-seniority and full-time employment." }, "location" : "Ukraine", "locations" : [ "Ukraine" ], "timestamp" : "2026-06-16T08:38:21.138", "fingerprint" : "73dff588fc88bbc0f2abf2e8b6f2c31125f96ec2f190cee1a0b69c5be585822d", "source" : "ashby", "language" : "uk", "applyUrl" : "https://jobs.ashbyhq.com/kissmyapps/cb223620-604d-437a-94ea-29a5f6529952/application", "externalId" : "cb223620-604d-437a-94ea-29a5f6529952", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ukraine", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, BI tools", "professionalSkills" : [ "Data modeling", "Automation", "Alerting" ], "hardSkillsList" : [ "Marketing analytics", "Data modeling", "BI reporting", "Self-serve analytics", "Data quality control" ], "softSkillsList" : [ "Proactivity", "Communication skills" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "BI reporting", "level" : "intermediate" }, { "name" : "Self-serve analytics", "level" : "intermediate" }, { "name" : "Data quality control", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Proactivity" }, { "name" : "Communication skills" } ], "majorSkills" : "Marketing analytics, BI reporting, Data modeling", "majorSkillsList" : [ "Marketing analytics", "BI reporting", "Data modeling" ], "coreResponsibilities" : "Analyze marketing channel effectiveness, Provide insights on marketing channels, Test hypotheses for marketing channels, Develop BI reporting, Develop self-serve analytics for marketing team, Perform data modeling, Implement automations, Implement alerting, Translate marketing requests into analytical solutions, Control data quality in marketing domain", "teamCollaboration" : "Marketing team; Marketing specialists", "domainKnowledge" : "Marketing domain; B2C products; Unit economics; Performance channels", "domainList" : [ "marketing-domain", "b2c-products", "unit-economics", "performance-channels" ], "domainSpecificKnowledge" : [ "Marketing domain", "B2C products", "Unit economics", "Performance channels" ], "toolProficiency" : [ "BI tools", "Tableau", "Dbt", "Databricks" ], "communicationSkills" : "Analytical solutions", "continuousLearning" : "Conference attendance; Educational events", "problemSolvingSkills" : "Analytical skills; Critical thinking; Structural thinking", "qualificationsBasic" : "2+ years experience in analytics (Marketing / Product / Data) in B2C products, Confident SQL proficiency, Understanding of data modeling principles, Experience with BI tools, Knowledge of mathematics and statistics, Analytical skills, Critical and structural thinking, Attention to detail", "qualificationsPreferred" : "Experience in marketing analytics (attribution, unit economics, performance channels), Python for data processing and automation, Experience with Tableau, Experience with dbt, Databricks", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Kiss My Apps — компанія-платформа, що об’єднує 7 продуктових вертикалей та 20+ AI-first продуктів, 120+ мільйонів користувачів, власну екосистему аналітичних, пеймент та маркетингових розробок. Продукти KMA це світові лідери в нішах utilities, lifestyle, health&fitness — AI Remodel, Printer, Botan, Calorie Counter і не тільки. Це продукти, що займають топ-1 місця App Store й вирішують потреби комʼюніті з сотень мільйонів людей. Наш темп — це наш competitive advantage. KMA зростає мінімум х3 рік до року — і ми шукаємо Middle Marketing Analyst того/ту, хто допоможе масштабуватись ще швидше. Коротко про роль: Маркетинг — один із ключових драйверів росту Kiss My Apps, а аналітика — фундамент, на якому ми приймаємо рішення. Ми будуємо аналітику як продукт для внутрішніх бізнесів: з фокусом на потреби, якість рішень та реальний вплив на результат. Зараз шукаємо Middle Marketing Analyst, який(а) хоче поглибити експертизу у маркетингу і зростати у сильній команді. Твої задачі: - Робота з ефективністю різних маркетингових каналів — аналіз, інсайти, перевірка гіпотез. - Розбудова BI-репортингу та self-serve аналітики для маркетингової команди. - Дата-моделювання, автоматизації та алертинг. - Пряма взаємодія з різними спеціалістами в маркетингу — переведення їхніх запитів в аналітичні рішення. - Контроль якості даних у маркетинговому домені. Що очікуємо від тебе: - 2+ роки досвіду в аналітиці (Marketing / Product / Data) у B2C продуктах. - Інтерес до маркетингового домену і бажання поглибити експертизу. - Впевнене володіння SQL та розуміння принципів дата-моделювання. - Досвід роботи з BI-інструментами. - Знання математики та статистики. - Аналітичні навички, критичне та структурне мислення, увага до деталей. - Проактивність, ініціативність, гарні комунікаційні навички. Буде плюсом: - Досвід у маркетинговій аналітиці (атрибуція, юніт-економіка, performance-канали). - Python для обробки даних та автоматизацій. - Досвід з Tableau. - Досвід з dbt, Databricks. Тобі до нас, якщо шукаєш: - Можливість працювати з маркетингом як одним із ключових драйверів росту компанії. - Аналітику як продукт для внутрішніх бізнесів, де твої рішення матимуть прямий вплив на результат. - Різноманіття продуктів, ніш, маркетингових каналів і задач — від репортингу до дата-моделей та автоматизацій. - Велику сильну команду, у якій можна швидко зростати професійно. - Сучасний аналітичний стек. - Культуру відкритості, швидких рішень, ініціативності та мінімуму бюрократії. Ми пропонуємо: - Формат роботи на твій вибір: fully remote з будь-якої точки вільного світу, а також доступ до одного з наших офісів за бажанням (Київ, Варшава). - Умови, завдяки яким ти можеш сфокусуватись на перформансі: гідна винагорода, що відповідає твоїм скілам та досвіду. А також ми забезпечуємо технікою незалежно від формату роботи та географії. - Кар’єрне зростання через дію: 80%+ усіх leads в Kiss My Apps ще 2-3 роки тому були світчерами. Твій вплив тут не визначається роками в резюме — він визначається тим, як швидко ти навчаєшся, береш відповідальність та береш оунершіп за власну карʼєру. - Well-being програма: ми турбуємося про ментальне здоровʼя команди, а також проводимо онлайн-заняття з йоги двічі на тиждень. - Розвиток та професійна реалізація: проводимо внутрішні speaking clubs англійською з нейтів спікером, а також надаємо можливість виступати на внутрішніх та зовнішніх івентах від Kiss My Apps. Крім цього ти матимеш річний бюджет на покриття до 50% професійних конференції, освітніх подій та івентів. - Додаткові бенефіти, де ти обираєш: надаємо фіксований бюджет на рік з якого ти сам обираєш, яку статтю витрат покрити: 50% від медстрахування, психотерапії, спорту чи стоматології. А також 40 днів оплачуваного відпочинку та лікарняних без привʼязки до дат. - Опора в умовах війни: забезпечуємо кожного всім необхідним для безперебійної роботи, системно підтримуємо Сили Оборони та долучаємось до ініціатив із відновлення України. Як виглядає hiring процес: - Інтро з рекрутером. - Тестове завдання. - Технічна співбесіда з Head of Analytics. - Фінальна співбесіда з Head of Analytics та Head of Marketing. Якщо ти хочеш будувати аналітику, яка допомагає маркетингу масштабувати продукти для мільйонів користувачів і напряму впливати на ріст бізнесу — let’s launch the future together.", "summaryDescription" : "Middle Marketing Analyst at Kiss My Apps. Skills: Marketing analytics, BI reporting, Data modeling. Analyze marketing channel effectiveness. Provide insights on marketing channels", "createdAt" : "2026-06-16T00:25:57.198", "lastUpdated" : "2026-06-16T08:38:21.138", "ingestTimestamp" : "2026-06-16T00:25:57.198", "mongoId" : "6a305ed5f292fd229cf74bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Data modeling", "BI reporting", "Self-serve analytics", "Data quality control", "Proactivity", "Communication skills", "Automation", "Alerting", "Marketing domain", "B2C products", "Unit economics", "Performance channels", "BI tools", "Tableau", "Dbt", "Databricks" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 753.9149, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 753.32764, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20d74d8ee00a09df5e4", "title" : "Marketing Analytics Manager", "industry" : "Marketing", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Manager seniority in the Technology industry." }, "location" : "US", "locations" : [ "US" ], "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 definition", "Funnel performance analysis", "ROI analysis", "Customer acquisition analysis", "Spend optimization", "Resource allocation", "Scenario forecasting", "Reporting standards", "Lead routing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "KPI definition", "level" : "intermediate" }, { "name" : "Funnel performance analysis", "level" : "intermediate" }, { "name" : "ROI analysis", "level" : "intermediate" }, { "name" : "Customer acquisition analysis", "level" : "intermediate" }, { "name" : "Spend optimization", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Scenario forecasting", "level" : "intermediate" }, { "name" : "Reporting standards", "level" : "intermediate" }, { "name" : "Lead routing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Marketing analytics, Data storytelling, Financial modeling, Executive reporting", "majorSkillsList" : [ "Marketing 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" : 752.3808, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306de7f292fd229cfdb31f", "title" : "Campaign Manager, Spanish-Speaking, Europe (Freelance)", "company" : "Kyra", "industry" : "Campaigns", "salary" : { "min" : 40000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Campaign Manager in Spain, adjusted for the technology industry and a full-time, onsite role." }, "location" : "Spain", "locations" : [ "Spain", "Italy", "France", "Portugal" ], "timestamp" : "2026-06-16T13:27:49.057", "fingerprint" : "5ce882d1c5ce4c8e42c0dadc13f0f8bfec173a5a4c00f04edf4d0eb6ac5566dc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/kyra/4ceb2fd6-24dd-4637-aedf-81e6e3cbbc4c/application", "externalId" : "4ceb2fd6-24dd-4637-aedf-81e6e3cbbc4c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Campaign management", "Client service", "Creator collaboration", "Reporting", "Optimisation" ], "hardSkillsList" : [ "Influencer marketing", "Talent management", "Campaign management", "Project management", "Creator contracting", "UGC marketing" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Influencer marketing", "level" : "intermediate" }, { "name" : "Talent management", "level" : "intermediate" }, { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Creator contracting", "level" : "intermediate" }, { "name" : "UGC marketing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Influencer marketing, Campaign management, Creator management", "majorSkillsList" : [ "Influencer marketing", "Campaign management", "Creator management" ], "coreResponsibilities" : "Own day-to-day management of influencer marketing campaigns, Oversee campaign timelines, Oversee campaign budgets, Oversee campaign deliverables, Oversee campaign approvals, Be the main point of contact for creators, Be the main point of contact for clients, Be the main point of contact for internal, Build trusted relationships with clients, Deliver clear, proactive communication, Anticipate client needs, Ensure campaigns exceed expectations, Source creators, Brief creators, Manage creators throughout campaign lifecycles, Ensure content meets brand guidelines, Ensure content meets cultural nuance, Ensure content meets campaign objectives, Track campaign performance, Provide actionable insights, Provide recommendations for future campaigns", "teamCollaboration" : "Creators; Clients; Internal teams", "projectManagementSkills" : [ "Campaign management", "Project management" ], "domainKnowledge" : "Influencer marketing; Fashion brands; Creator economy; Social media platforms; Creator culture; Digital marketing; Emerging cultural trends; UK/Europe market trends; Cultural nuance", "domainList" : [ "influencer-marketing", "fashion-brands", "creator-economy", "social-media-platforms", "creator-culture", "digital-marketing", "emerging-cultural-trends", "uk-europe-market-trends", "cultural-nuance" ], "domainSpecificKnowledge" : [ "Influencer marketing", "Fashion brands", "Creator economy", "Social media platforms", "Creator culture", "Digital marketing", "Emerging cultural trends", "UK/Europe market trends", "Cultural nuance" ], "toolProficiency" : [ "Kyra's proprietary platform" ], "communicationSkills" : "Proactive communication; Confident communicator", "problemSolvingSkills" : "Problem-solver", "outcomesObjectives" : "Campaigns exceed expectations", "qualificationsBasic" : "3-4 yrs experience in influencer marketing, 3-4 yrs experience in talent management, 3-4 yrs experience in campaign management, 3-4 yrs experience in project management, Negotiation experience w/ creators, UGC marketing techniques, Experience engaging Macro to Micro creators, Understanding creator verticals, Creator contracting experience, Experience integrating AI into workflow", "qualificationsPreferred" : "Experience working with fashion brands", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT KYRA Kyra is an enterprise influencer marketing platform working with brands like SharkNinja, Coach, H&M, Ray-Ban, and Converse. Our platform manages the full lifecycle — creator discovery, campaign management, content review, payments, analytics, and AI-powered intelligence across TikTok, Instagram, and YouTube. As Campaign Manager, you’ll be the engine that powers Kyra’s creator campaigns from start to finish. You’ll manage day-to-day campaign delivery, ensuring that everything runs on time, on budget, and to the highest creative standard. From briefing creators to reporting back to clients, you’ll bring structure, energy, and problem-solving to every campaign you touch. WHAT YOU’LL BE DOING \uD83D\uDCCB Campaign Management - Own day-to-day management of influencer marketing campaigns across multiple brands - Oversee campaign timelines, budgets, deliverables, and approvals - Be the main point of contact for creators, clients, and internal teams \uD83C\uDFAF Client Service - Build trusted relationships with clients by delivering clear, proactive communication - Anticipate client needs and ensure campaigns exceed expectations \uD83E\uDD1D Creator Collaboration - Source, brief, and manage creators throughout campaign lifecycles - Ensure content meets brand guidelines, cultural nuance, and campaign objectives \uD83D\uDCCA Reporting & Optimisation - Track campaign performance using Kyra’s proprietary platform and analytics tools - Provide actionable insights and recommendations for future campaigns WHAT YOU BRING \uD83D\uDCD0 Experience & Skills - 3-4 yrs experience in influencer marketing, talent management, or campaign/project management ideally working with fashion brands. - Negotiation experience w/ creators - UGC marketing techniques - Experience engaging Macro to Micro creators and understanding creator verticals - Creator contracting experience - Strong written-communication skills - You're a hands-on self-starter expected to take full ownership of the project. - Strong organisational prioritizations skills with the ability to juggle multiple projects at speed - Confident communicator who can manage stakeholders with ease - Experience integrating AI into your work flow. \uD83C\uDF0D Industry Knowledge - Strong cultural competency and knowledge of trends for UK/Europe market - Understanding of social media platforms, creator culture, and digital marketing - Passion for the creator economy and emerging cultural trends \uD83D\uDD25 Mindset & Drive - Proactive problem-solver who thrives in a fast-paced environment - Collaborative, adaptable, and committed to high standards \uD83D\uDCE9 Sound like you? We’d love to hear from campaign managers who are ready to step up and deliver impactful creator marketing at scale. AI is core to how we operate. Use it to elevate your work. But everything in your application should reflect your own judgement and experience. \uD83D\uDC9F Support If you have a condition or require an adjustment to our interview process - please let us know so we can make adjustments to support you. Please note that when you submit an application or resume, your data will be processed in line with our privacy policy https://www.bamboohr.com/legal/privacy-policy.", "summaryDescription" : "Campaign Manager, Spanish-Speaking, Europe (Freelance) at Kyra. Skills: Influencer marketing, Campaign management, Creator management. Own day-to-day management of influencer marketing campaigns. Oversee campaign timelines", "createdAt" : "2026-06-16T00:29:42.529", "lastUpdated" : "2026-06-16T13:27:49.057", "ingestTimestamp" : "2026-06-16T00:29:42.529", "mongoId" : "6a306de7f292fd229cfdb31f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Influencer marketing", "Talent management", "Campaign management", "Project management", "Creator contracting", "UGC marketing", "Negotiation", "Creator management", "Client service", "Creator collaboration", "Reporting", "Optimisation", "Fashion brands", "Creator economy", "Social media platforms", "Creator culture", "Digital marketing", "Emerging cultural trends", "UK/Europe market trends", "Cultural nuance", "Kyra's proprietary platform" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 750.90485, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : 748.6688, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "68c2e437f8b1b0376634c87b", "title" : "Business Intelligence Manager", "company" : "Amazon Shipping", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 2850000.0, "max" : 4550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Business Intelligence Manager in Hyderabad, India, adjusted for manager seniority at a large company in the logistics industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:51:10.379", "fingerprint" : "c2d94e881df073d3cc42f868d488dd37daa4ab96bf3801114bfe3b17be44216d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072619/apply", "externalId" : "545dab1d-f48e-42c6-ade1-61c8afcf29b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL, Tableau, Quicksight, R, Python, Weka, SAS, Matlab, Amazon Q", "professionalSkills" : [ "Business analytics", "Data science management", "Analytics frameworks", "Data pipelines", "Reporting solutions", "Business performance", "Key performance indicators", "Process improvement" ], "hardSkillsList" : [ "Data management", "Data visualization", "Statistical analysis", "Machine learning software" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning software", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business Intelligence, Analytics, Data Management, Reporting", "majorSkillsList" : [ "Business Intelligence", "Analytics", "Data Management", "Reporting" ], "coreResponsibilities" : "Provide data management processes, Build queries and macros, Write VBA code, Organize data, Design reports, Retrieve and analyze data, Design and implement reporting solutions, Take ownership of reporting processes, Build and manage KPIs, Monitor existent metrics, Build new metrics, Support cross-functional teams, Generate complex queries, Innovate to improve customer experience", "teamCollaboration" : "Cross-functional teams; Data engineering teams; Tech teams", "domainKnowledge" : "Global shipping network; Logistics capabilities", "domainList" : [ "global-shipping-network", "logistics-capabilities" ], "domainSpecificKnowledge" : [ "Global shipping network", "Logistics capabilities" ], "toolProficiency" : [ "Excel", "SQL", "VBA", "Tableau", "Quicksight" ], "communicationSkills" : "Translate complex data concepts", "innovationCreativity" : "Business innovation", "problemSolvingSkills" : "Data discrepancies; Process issues", "qualificationsBasic" : "7+ years business intelligence and analytics experience, 5+ years managing a business intelligence or analytics team, Experience with SQL, Experience with ETL, Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years working with very large data warehousing environment, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years infrastructure components, 10+ years ETL/ ELT, 10+ years reporting/analytic tools and environments, 10+ years data structures, 10+ years hands-on SQL coding experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build Amazon's next $100B business? The SWA Business Analytics team is the backbone of data, analytics, and business insights for Amazon Shipping. We're not just crunching numbers—we're revolutionizing how data drives decision-making across a global shipping network. By evolving Amazon's legendary analytics capabilities into an agile, intelligent insights engine, we're creating a data ecosystem that continuously optimizes to deliver actionable intelligence for every business unit and every customer. Every insight we generate is more than just a metric—it spins the flywheel faster, continuously enhancing our shipping network through scale, speed, and intelligence. As we increase our analytical capabilities and reach, we're transforming data-driven decision making for ALL aspects of Amazon Shipping while simultaneously strengthening Amazon's overall logistics capabilities—reducing costs and accelerating growth across our entire ecosystem. What will you do? We're hiring a Manager, Business Analytics who will enhance our ability to deliver data-driven insights with speed and accuracy. Your mission is to create clear pathways for teams to rapidly transform raw data into working solutions while maintaining transparency across our organization. You'll design and implement sophisticated analytics frameworks for worldwide operations, including Commercial Sales, Marketing, Revenue Management, Customer Support, and Sustainability. You'll coordinate essential analytics activities in ways that keep teams focused on business outcomes rather than just data processing. You'll partner with data engineering and tech teams to establish consistent data pipelines and analytics tools that drive accountability while preserving the creativity and autonomy that leads to business innovation. In this role, you'll balance the need for structured analytics with the imperative to maintain customer obsession as we grow, ensuring we can deliver insights with the speed and reliability our business partners expect. You'll also lead the charge in elevating our reporting capabilities through advanced data tools, including artificial intelligence solutions such as Amazon Q. Who are you? You're an experienced analytics leader who has successfully implemented effective frameworks that enable teams to rapidly deliver data-driven insights across complex organizations. You understand that well-designed analytics processes should accelerate business-focused innovation rather than constrain it, and you have a proven track record of increasing analytical accuracy and relevance without creating unnecessary complexity. You have deep experience in business analytics or data science management, with demonstrated success in harmonizing data processes while keeping business outcomes at the center. You should be comfortable refining analytics approaches to focus more directly on business impact, and introducing new methodologies that deliver better insights faster. As this role involves regular interaction with senior leadership, you can translate complex data concepts into clear business terms. The ideal candidate has a history of improving cross-functional collaboration, increasing responsiveness to business needs, and creating organizational clarity in rapidly scaling data environments. You're a thoughtful enabler who measures success by how effectively teams leverage data to drive business growth, maintaining the right balance between analytical rigor and practical application. Key job responsibilities • Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance. • Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems. • Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions. • Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies. • Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes. • Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities. • Supporting cross-functional teams on the day-to-day execution of the existent program implementation. • Generating complex queries to dive deep on process issues. • Innovating to improve customer experience. Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience 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" : "Business Intelligence Manager at Amazon Shipping. Skills: Business Intelligence, Analytics, Data Management, Reporting. Provide data management processes. Build queries and macros", "postedDate" : "2026-06-13T09:30:02.888", "createdAt" : "2026-06-13T09:30:02.888", "lastUpdated" : "2026-06-15T02:51:10.379", "ingestTimestamp" : "2026-06-13T09:30:02.888", "mongoId" : "68c2e437f8b1b0376634c87b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072619/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data management", "Data visualization", "Statistical analysis", "Machine learning software", "Leadership", "Business Intelligence", "Analytics", "Data Management", "Reporting", "Business analytics", "Data science management", "Analytics frameworks", "Data pipelines", "Reporting solutions", "Business performance", "Key performance indicators", "Process improvement", "Global shipping network", "Logistics capabilities", "Excel", "SQL", "VBA", "Tableau", "Quicksight" ], "skillCount" : 24, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 746.73773, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30615bf292fd229cf9637b", "title" : "Digital Analytics Specialist", "company" : "Allegis Global Solutions", "industry" : "Staffing And Recruiting", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Digital Analytics Specialist in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, KA, IN", "locations" : [ "Bengaluru", "KA", "IN" ], "certifications" : [ "HubSpot Certification" ], "timestamp" : "2026-06-16T07:37:17.621", "fingerprint" : "fdab840156bb001d439cc8cd89e733a0921db8c45406b9ce96c8d069a3208d2d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AllegisGlobalSolutions/744000132151519-digital-analytics-specialist", "externalId" : "744000132151519", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "HubSpot, Google Analytics, LinkedIn, Google PPC, Salesforce", "professionalSkills" : [ "Marketing channel strategy", "Performance optimization", "Data integrity", "Reporting infrastructure", "Dashboard management", "Workflow management", "Data hygiene", "Attribution modeling", "Data analysis", "Insight generation", "Cross-functional alignment", "Data cleanup" ], "hardSkillsList" : [ "Marketing automation", "CRM systems", "Campaign tracking", "Lifecycle reporting", "A/B testing" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CRM systems", "level" : "intermediate" }, { "name" : "Campaign tracking", "level" : "intermediate" }, { "name" : "Lifecycle reporting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Digital marketing analytics, HubSpot administration, Marketing performance analysis, Data reporting", "majorSkillsList" : [ "Digital marketing analytics", "HubSpot administration", "Marketing performance analysis", "Data reporting" ], "coreResponsibilities" : "Serve as HubSpot Super User, Administer HubSpot platform, Manage HubSpot platform configuration, Provide HubSpot user support, Manage HubSpot permissions, Manage HubSpot workflows, Manage HubSpot dashboards, Optimize marketing automation platform, Maintain marketing reporting infrastructure, Manage HubSpot dashboards, Manage campaign tracking, Manage lifecycle reporting, Ensure data hygiene, Ensure data governance, Analyze marketing performance, Analyze digital performance, Identify trends, Surface insights, Recommend optimizations, Prepare performance summaries, Deliver performance summaries, Prepare presentations, Deliver presentations, Maintain HubSpot-Salesforce integration, Support data flow, Support reporting integrity, Deliver CRM enhancements, Deliver marketing automation enhancements, Update lifecycles, Manage properties, Perform data cleanup, Collaborate with vendors, Collaborate with stakeholders, Manage platform enhancements, Manage renewals, Manage integrations, Manage feature rollouts, Support testing efforts, Support optimization efforts, Perform A/B testing, Assist with measurement, Assist with learnings, Enable marketing team, Provide training, Provide documentation, Maintain technology playbooks, Maintain best practices, Maintain process guidance", "teamCollaboration" : "Marketing leadership; Cross-functional partners; Technology teams; CRM teams; Sales Enablement teams; External vendors; Internal stakeholders", "domainKnowledge" : "Digital marketing; Marketing operations; Channel analytics; Marketing automation; CRM systems; Paid media; Email marketing; Website analytics; Social media marketing; Campaign measurement; Funnel performance; Attribution concepts", "domainList" : [ "digital-marketing", "marketing-operations", "channel-analytics", "marketing-automation", "crm-systems", "paid-media", "email-marketing", "website-analytics", "social-media-marketing", "campaign-measurement", "funnel-performance", "attribution-concepts" ], "domainSpecificKnowledge" : [ "Digital marketing", "Marketing operations", "Channel analytics", "Marketing automation", "CRM systems", "Paid media", "Email marketing", "Website analytics", "Social media marketing", "Campaign measurement", "Funnel performance", "Attribution concepts" ], "toolProficiency" : [ "HubSpot", "Salesforce", "Google Analytics", "Sprout Social" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Maintain documentation; Maintain technology playbooks; Maintain best practices; Maintain process guidance", "problemSolvingSkills" : "Problem-solving; Translate data into insights", "outcomesObjectives" : "Improve campaign outcomes; Improve funnel outcomes; Improve marketing channel strategy; Improve marketing channel performance", "qualificationsBasic" : "3-5 years digital marketing experience, 3-5 years marketing operations experience, 3-5 years channel analytics experience, Experience analyzing multi-channel marketing performance, Experience reporting multi-channel marketing performance, Understanding of campaign measurement, Understanding of funnel performance, Understanding of attribution concepts, Analytical skills, Problem-solving skills, Highly organized, Detail-oriented, Ability to manage multiple priorities, Ability to maintain accurate documentation, Demonstrated ability to work independently, Demonstrated ability to work collaboratively, Bachelor's degree in marketing, Bachelor's degree in business, Bachelor's degree in analytics, Equivalent practical experience", "qualificationsPreferred" : "HubSpot Certification strongly preferred, Google Analytics familiarity, Ad platforms familiarity, CMS tools familiarity, Social media automation tools familiarity, Sprout Social preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are founded on a culture that is passionate about transforming the way the world acquires talent by delivering client-focused solutions that make a difference for businesses worldwide. From refining how businesses manage their contingent workforce to strengthening employer brands to recruit top talent, our integrated solutions drive business results. As an industry leader, we draw upon decades of experience to design innovative tools, products and processes. We develop competitive practices that position organizations for growth and we deliver the insight needed to succeed in today's global marketplace. As a workplace, we focus on relationships – with each other, our clients and our candidates. In fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful. See what it’s like to work at AGS by searching [#LifeAtAGS](https://twitter.com/hashtag/lifeatags) on any social network. Job Summary The Marketing Performance & Analytics Specialist partners closely with the Digital Experience Manager to measure, analyze and optimize the organization’s digital marketing performance across channels. This role combines strong marketing channel analytics capabilities with hands-on ownership of HubSpot, ensuring data integrity, reliable reporting and actionable insights that improve campaign and funnel outcomes. As the primary HubSpot super user and administrator, this individual is responsible for managing reporting infrastructure, dashboards, workflows and data hygiene, while partnering with Sales Enablement and Technology to ensure aligned data, accurate attribution and effective use of HubSpot – Salesforce integrations. This position is ideal for a curious, detail-oriented self-starter who enjoys solving problems, improving systems and translating data into clear, actionable insights that influence marketing channel strategy and performance. Responsibilities * Serve as the HubSpot Super User and Administrator, owning day-to-day platform configuration, user support, permissions, workflows, dashboards, and ongoing optimization of the marketing automation platform. * Own and maintain marketing reporting infrastructure within HubSpot, including dashboards, campaign tracking and lifecycle reporting aligned to business outcomes * Ensure strong data hygiene and governance practices across marketing and CRM systems to support accurate reporting, attribution and decision-making * Analyze marketing and digital performance across channels (paid media, email, website and social) to identify trends, surface insights and recommend optimizations * Prepare and deliver regular and ad hoc performance summaries and presentations to marketing leadership and cross-functional partners, ensuring insights are accessible and actionable * Partner with Technology, CRM, and Sales Enablement teams to maintain seamless integration between HubSpot and Salesforce, supporting consistent data flow and reporting integrity * Deliver CRM and marketing automation enhancements, including lifecycle updates, property management and data cleanup initiatives to improve scalability and reporting accuracy * Collaborate with external vendors and internal stakeholders on platform enhancements, renewals, integrations, and feature rollouts aligned to business needs. * Support testing and optimization efforts, including A/B testing of emails, forms, landing pages, and digital experiences, and assist with measurement and learnings. * Enable the broader marketing team through training and documentation, maintaining up-to-date technology playbooks, best practices, and process guidance. ## Qualifications Qualifications, Skills and Experience * 3-5 years of experience in digital marketing, marketing operations or channel analytics-focused role with increasing responsibility for reporting and platform support * Strong working knowledge of HubSpot including reporting dashboards, workflows, properties, and user management; HubSpot Certification strongly preferred * Experience analyzing and reporting on multi-channel marketing performance, including paid media (LinkedIn, Google PPC), website analytics and email marketing * Understanding of campaign measurement, funnel performance and attribution concepts across digital channels * Familiarity with tool such as Google Analytics, ad platforms, CMS tools and social media automation tools (Sprout Social preferred). * Strong analytical and problem-solving skills, with the ability to connect data points and translate insights into clear, actionable recommendations * Highly organized and detail-oriented, with the ability to manage multiple priorities and maintain accurate documentation in a fast-paced environment. * Strong communication skills, with the ability to explain technical concepts clearly and partner effectively with Marketing, Technology, and Sales Enablement teams. * Demonstrated ability to work independently and collaboratively, showing ownership of work while contributing to cross-functional initiatives. * Bachelor’s degree in marketing, business, analytics, or a related field, or equivalent practical experience.", "summaryDescription" : "Digital Analytics Specialist at Allegis Global Solutions. Skills: Digital marketing analytics, HubSpot administration, Marketing performance analysis, Data reporting. Serve as HubSpot Super User. Administer HubSpot platform", "postedDate" : "2026-06-15T09:13:23.000", "createdAt" : "2026-06-15T23:49:14.235", "lastUpdated" : "2026-06-16T07:37:17.621", "ingestTimestamp" : "2026-06-15T23:49:14.235", "mongoId" : "6a30615bf292fd229cf9637b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Marketing automation", "CRM systems", "Campaign tracking", "Lifecycle reporting", "A/B testing", "Digital marketing analytics", "HubSpot administration", "Marketing performance analysis", "Data reporting", "Marketing channel strategy", "Performance optimization", "Data integrity", "Reporting infrastructure", "Dashboard management", "Workflow management", "Data hygiene", "Attribution modeling", "Data analysis", "Insight generation", "Cross-functional alignment", "Data cleanup", "Digital marketing", "Marketing operations", "Channel analytics", "Paid media", "Email marketing", "Website analytics", "Social media marketing", "Campaign measurement", "Funnel performance", "Attribution concepts", "HubSpot Certification", "HubSpot", "Salesforce", "Google Analytics", "Sprout Social" ], "skillCount" : 36, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 746.7232, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8d6f74d8ee00a0978f94", "title" : "Data Science Manager, Marketing Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 158000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-15T09:48:30.880", "fingerprint" : "00c736fc5b50714513b91ede802b7d0b0f540a6aeccda92aaf7117468826f905", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/557c7b14-68a3-4349-8c59-356975d3711b/application", "externalId" : "557c7b14-68a3-4349-8c59-356975d3711b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Python, Spark, SQL, Databricks, Airflow, Git, GitHub, Tensorflow, Sci-kit learn, Gradient Boosting, Neural Networks", "professionalSkills" : [ "Data analysis", "Pipeline tools", "MLOps", "Statistical modeling", "Personalization models", "Incentive models", "Growth strategy" ], "hardSkillsList" : [ "Data engineering", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "MLOps best practices" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "MLOps best practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine learning, Data analytics, Analytics engineering, Statistical modeling", "majorSkillsList" : [ "Machine learning", "Data analytics", "Analytics engineering", "Statistical modeling" ], "coreResponsibilities" : "Lead data science projects, Gather requirements, Clean complex datasets, Develop technical solutions, Evaluate technical solutions, Productionize technical solutions, Optimize incentive models, Build code repositories, Build packages, Build workflows in Python, Implement MLOps best practices, Establish automated processes, Scale insights, Perform advanced ML, Perform descriptive analyses, Speak with stakeholders, Serve as leader, Bring operational practices, Bring culture-building practices, Research industry trends, Suggest areas of improvement, Handle data securely, Identify phishing attempts, Report security incidents", "teamCollaboration" : "Internal partners; External partners; Marketing leaders; Cross-functional areas; Direct to consumer marketing; B2B marketing", "projectManagementSkills" : [ "Prioritize effectively" ], "domainKnowledge" : "Marketing analytics; Personalization models; Incentive models; Media measurement", "domainList" : [ "marketing-analytics", "personalization-models", "incentive-models", "media-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Personalization models", "Incentive models", "Media measurement" ], "toolProficiency" : [ "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "communicationSkills" : "Stakeholder communication; Interpersonal skills", "continuousLearning" : "Research industry trends", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem-solving experience", "specialRequirements" : "Live in United States, 3 days in office", "qualificationsBasic" : "5+ years experience, 2+ years management experience, Bachelor's degree, Expert-level data analysis, Expert-level pipeline tools, SQL proficiency, Python proficiency, Spark proficiency, Airflow proficiency, Git/GitHub proficiency, Machine learning expertise, Statistical techniques expertise", "qualificationsPreferred" : "Analytical ability preferred, Problem-solving experience preferred, Marketing/media measurement preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. THE ROLE This is a player/coach role that will lead the data science and analytics engineering functions within the Marketing Analytics team, while driving innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. You will work closely with direct to consumer and B2B marketing leaders to define and execute Ibotta’s growth strategy, translating business questions and performance goals into Machine Learning driven personalization models This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. WHAT YOU’LL BE DOING - Lead data science projects end-to-end: gathering requirements, cleaning complex datasets, and developing, evaluating, and productionizing innovative technical solutions, while optimizing existing incentive models - Build centralized and extensible code repositories, packages, and workflows in Python. - Implement MLOps best practices and establish automated processes to scale insights across Ibotta. - Flex work between advanced ML capabilities and descriptive analyses to meet the business where it's at. - Confidently speak with internal and external stakeholders about foundational models and project deliverables. - Serve as a leader across the department, bringing operational and culture-building best practices. - Research industry trends to stay abreast of new developments and proactively suggest areas of improvement. - Uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and the belief that a good idea can come from anywhere. What we’re looking for: - 5+ years of experience in a measurement-driven function with experience working directly with leadership. - 2+ years of management experience with a proven ability to hire and develop talent. - Bachelor’s degree in computer science, data analytics, computer engineering, or a related field. - Expert-level experience with data analysis and pipeline tools, including Databricks, SQL, Python, Spark, Airflow, and Git/GitHub. - Experience hiring, leading, developing, and retaining talent - Deep expertise in machine learning tools (e.g., Tensorflow, sci-kit learn, Gradient Boosting, Neural Networks) and statistical techniques (Causal inference, A/B testing). - Demonstrated analytical ability and problem-solving skills; experience in marketing/media measurement is strongly preferred. - Excellent interpersonal and communication skills, with the ability to collaborate across functional areas. - Curiosity and the capability to prioritize effectively in a fast-paced environment. About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Job Description - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $158,000 - $185,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Data Science Manager, Marketing Analytics at Ibotta. Skills: Machine learning, Data analytics, Analytics engineering, Statistical modeling. Lead data science projects. Gather requirements", "createdAt" : "2026-06-14T09:42:29.739", "lastUpdated" : "2026-06-15T09:48:30.880", "ingestTimestamp" : "2026-06-14T09:42:29.739", "mongoId" : "6a2c8d6f74d8ee00a0978f94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 158000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "MLOps best practices", "Leadership", "Data analytics", "Analytics engineering", "Statistical modeling", "Data analysis", "Pipeline tools", "MLOps", "Personalization models", "Incentive models", "Growth strategy", "Prioritize effectively", "Marketing analytics", "Media measurement", "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 745.01526, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d3b3474d8ee00a0b2d909", "title" : "Senior Marketing Data Analist", "company" : "KPMG Nederland", "industry" : "Accounting", "salary" : { "min" : 3800.0, "max" : 6000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amstelveen, NH, Netherlands", "locations" : [ "Amstelveen", "NH", "Netherlands" ], "timestamp" : "2026-06-15T07:07:34.576", "fingerprint" : "2c4aa5afd97b7c5703ad1db50564d7ddf8e843501716d0ee69046f1bd3be4314", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/KPMGNederland/744000131849030-senior-marketing-data-analist", "externalId" : "744000131849030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amstelveen", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2862177,4.8526493" } ], "locationText" : "Amstelveen, North Holland, Netherlands", "employmentType" : "CONTRACT", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "not-applicable", "technicalSkills" : "Power BI, Excel, SQL, Google Tag Manager, Adobe Launch", "professionalSkills" : [ "Data analysis", "Reporting", "Forecasting", "Scenario analysis", "KPI monitoring", "Data translation", "Strategic thinking", "Agile working" ], "hardSkillsList" : [ "Data structuring", "Tracking implementation", "Data compliance" ], "softSkillsList" : [ "Coaching", "Knowledge sharing" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Tracking implementation", "level" : "intermediate" }, { "name" : "Data compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Coaching" }, { "name" : "Knowledge sharing" } ], "majorSkills" : "Marketing analytics, Data analysis, Business intelligence, Reporting", "majorSkillsList" : [ "Marketing analytics", "Data analysis", "Business intelligence", "Reporting" ], "coreResponsibilities" : "Build dashboards, Build reports, Connect data sources, Structure data sources, Set up measurement plans, Implement tracking, Ensure tags work, Ensure triggers work, Ensure data layers work, Make forecasts, Make scenario analyses, Monitor KPIs, Translate data to insights, Translate data to improvements, Translate data to advice, Train team, Coach team, Share knowledge, Engage stakeholders, Monitor data quality, Monitor compliance", "teamCollaboration" : "Internal stakeholders; External stakeholders; Marketing teams; Data teams; IT teams; Web design specialists; Digital channels specialists; Marketing technology specialists", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Marketing analytics; Data compliance; AVG/GDPR", "domainList" : [ "marketing-analytics", "data-compliance", "avg-gdpr" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Data compliance", "AVG/GDPR" ], "toolProficiency" : [ "Power BI", "Excel", "SQL", "Google Tag Manager", "Adobe Launch" ], "communicationSkills" : "Translate data; Provide advice; Explain concepts; Share knowledge", "continuousLearning" : "Training; Education", "problemSolvingSkills" : "Translate complex questions", "outcomesObjectives" : "Drive decisions; Improve digital performance; Improve user experience", "qualificationsBasic" : "8-10 years experience, Marketing analytics experience, Data analysis experience, Business intelligence experience, Power BI skills, Excel skills, SQL skills, Connect data sources, Set up data structures, Knowledge of privacy rules, Understand data compliance", "qualificationsPreferred" : "Agile working experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "* Je bouwt dashboards en rapportages in o.a. Power BI en zorgt dat deze aansluiten op de informatiebehoefte van de organisatie * Je koppelt en structureert databronnen tot een betrouwbaar geheel * Je zet meetplannen op, richt tracking in (Google Tag Manager of Adobe Launch) en zorgt dat tags, triggers en datalagen correct werken * Je maakt forecasts en scenario-analyses, monitort KPI’s en zorgt dat meetplannen daadwerkelijk sturen op resultaat * Je vertaalt data naar scherpe inzichten, concrete verbeterkansen en praktisch advies waar teams direct mee verder kunnen * Je versterkt het team in data (training, coaching, kennisdeling), schakelt met interne en externe stakeholders en bewaakt datakwaliteit en compliance (AVG/GDPR) Als Data & Reporting Analyst maak jij marketingdata bruikbaar voor de afdeling Marketing & Reputation. Je verzamelt en combineert data, duikt in de cijfers en vertaalt je inzichten naar dashboards en rapportages die richting geven. Zo help je collega’s sneller en beter beslissingen te nemen. Je werkt nauw samen met teams uit marketing, data en IT en je adviseert op basis van heldere analyses. Daarbij bewaak je de datakwaliteit en zorg je dat we privacy- en compliance-afspraken volgen. Ook neem je het team mee: je legt uit, helpt verbeterkansen te identificeren en deelt kennis. Zo verbind je marketeers, developers en data-analisten. “Als Data & Reporting Analyst bij KPMG geef je data betekenis. Je verbindt inzichten uit verschillende Marketing & Reputatie databronnen en ziet hoe jouw analyses direct bijdragen aan strategie. Het is dynamisch, impactvol en je werkt echt op het snijvlak van data & digitale innovatie.” — Lorrell Cheng, Channels & Insights Team Je werkt in het Product Team Channels & Insights binnen Marketing & Reputatie (M&R) van KPMG Nederland. Samen zorgen we dat data niet alleen klopt, maar ook echt gebruikt wordt. Je werkt met specialisten in Web Design, Digital Channels en Marketing Technology. Met jouw inzichten verbeteren we onze digitale prestaties en maken we de gebruikerservaring elke dag een stukje beter. ## Qualifications * Minimaal 8–10 jaar aantoonbare ervaring in marketing analytics, data-analyse en/of business intelligence, met sterke vaardigheden in Power BI, Excel en SQL * Ervaring met het slim koppelen van databronnen en het opzetten van datastructuren die automatische rapportages mogelijk maken * Kennis van privacyregels (AVG/GDPR) en begrip van wat data compliance in de praktijk vraagt * Strategisch denkvermogen en het snel vertalen van complexe vraagstukken naar heldere, concrete inzichten * Sterke communicatieve vaardigheden in Nederlands en Engels; ervaring met agile werken is een pré ## Additional Information * Brutomaandsalaris tussen € 3.800,- en € 6.000,- afhankelijk van je werkervaring, variabele prestatie beloning, een vaste onkostenvergoeding en een vaste thuiswerkvergoeding per gewerkte dag. * Een flexibel pensioen zonder verplichte eigen bijdrage. * 30 vakantiedagen (op fulltime basis) en de mogelijkheid om meer dagen te kopen of je vakantiedagen te verkopen. * Bij KPMG werken we hybride, dus een combinatie van zowel thuis als op kantoor. * Een volledig ingerichte thuiswerkplek. * Vergoeding van je reiskosten met een NS business kaart of reiskostenvergoeding. * Een laptop en iPhone. * Een uitgebreid aanbod van trainingen en opleidingen die bijdragen aan jouw professionele en persoonlijke ontwikkeling. * Diversiteitsnetwerken op het gebied van pride, gender, ability, cultural diversity en generations die regelmatig verschillende activiteiten organiseren om verschil te vieren! * Aandacht voor vitaliteit! Sporten op het kantoor in Amstelveen of korting op een sportschool bij jou in de buurt én toegang tot coaching, gezondheids- en vitaliteitprogramma’s. * ‘Together’ is één van onze kernwaarden. Je kunt dus rekenen op verschillende sociale activiteiten zoals teamuitjes, borrels en evenementen samen met je collega’s.", "summaryDescription" : "Senior Marketing Data Analist at KPMG Nederland. Skills: Marketing analytics, Data analysis, Business intelligence, Reporting. Build dashboards. Build reports", "postedDate" : "2026-06-12T09:11:50.000", "createdAt" : "2026-06-14T05:09:22.559", "lastUpdated" : "2026-06-15T07:07:34.576", "ingestTimestamp" : "2026-06-14T05:09:22.559", "mongoId" : "6a2d3b3474d8ee00a0b2d909", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data structuring", "Tracking implementation", "Data compliance", "Coaching", "Knowledge sharing", "Marketing analytics", "Data analysis", "Business intelligence", "Reporting", "Forecasting", "Scenario analysis", "KPI monitoring", "Data translation", "Strategic thinking", "Agile working", "Agile", "AVG/GDPR", "Power BI", "Excel", "SQL", "Google Tag Manager", "Adobe Launch" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 744.9764, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30730ff292fd229c000449", "title" : "Email Campaign Manager - Fixed Term Contract", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mid-level Email Campaign Managers in Bulgaria, adjusted for the technology industry and a remote work mode." }, "location" : "Mexico City, CDMX, MX", "locations" : [ "Mexico City", "CDMX", "MX" ], "timestamp" : "2026-06-16T13:57:18.125", "fingerprint" : "58b28f327e79facbf5a740ff016866decebc8db5b258cc8e3a6cec0a6d57041f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289469-email-campaign-manager-fixed-term-contract", "externalId" : "744000132289469", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "HTML, CSS, SQL", "professionalSkills" : [ "Email marketing", "Project management", "Stakeholder communication" ], "hardSkillsList" : [ "Email campaign management", "Responsive email development", "Marketing automation", "Audience segmentation", "Multitasking" ], "hardSkills" : [ { "name" : "Email campaign management", "level" : "intermediate" }, { "name" : "Responsive email development", "level" : "intermediate" }, { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "Audience segmentation", "level" : "intermediate" }, { "name" : "Multitasking", "level" : "intermediate" } ], "majorSkills" : "Email campaign management, Marketing automation, Audience segmentation", "majorSkillsList" : [ "Email campaign management", "Marketing automation", "Audience segmentation" ], "coreResponsibilities" : "Oversee email marketing campaigns, Manage project timelines, Manage project scopes, Optimize email execution, Advise on campaign performance, Architect campaign workflows, Build complex workflows, Create scalable templates, Create playbooks, Create trainings, Collaborate on project management requirements, Collaborate on production requirements, Leverage shared resources, Set up A/B test campaigns, Execute A/B test campaigns, Analyze campaign performance, Report campaign results, Report recommendations, Implement email programs, Work with production teams, Ensure effective use of platforms, Ensure effective use of tools, Contribute to channel strategies, Contribute to campaign planning", "teamCollaboration" : "Cross-functional collaboration; Work with production teams", "projectManagementSkills" : [ "Project management", "Multitasking" ], "domainKnowledge" : "Email marketing platforms; Responsive email design; Front-end development", "domainList" : [ "email-marketing-platforms", "responsive-email-design", "front-end-development" ], "domainSpecificKnowledge" : [ "Email marketing platforms", "Responsive email design", "Front-end development" ], "toolProficiency" : [ "Adobe Campaign" ], "communicationSkills" : "Tailor messaging", "qualificationsBasic" : "4+ years experience deploying high-volume emails, Business fluency in English", "qualificationsPreferred" : "1+ year managing offshore teams, BAS degree, Ability to collaborate with production teams, Understand platform capabilities, Experience in Adobe Campaign, Proficient in responsive email design, Proficient in front-end development, Working knowledge of HTML/CSS, Working knowledge of SQL", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role is part of LinkedIn’s broader effort to build and scale an in-house owned media agency, including the creation of tools that will significantly increase production speed and operational efficiency. As such, the position is structured as a 12-month contractor role. This role will be based in Mexico. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is remote, meaning it will be performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. Job Overview The Owned In-House Agency Team supports the LinkedIn Owned Media team, which leads channel strategy, prioritization, and performance across Email and LinkedIn Ads. This team partners closely with Owned Media to bring campaigns to life at scale, ensuring high-quality execution and operational excellence across a complex portfolio. This includes driving execution of campaign builds, QA, and reporting insights based on the Owned Media team's strategy and priorities. This team also plays a key role in enabling efficiency and consistency through the use and enablement of technology, automation, and tooling—delivering impact through execution, scalability, and continuous improvement within a high-performing marketing organization. The Email Campaign Manager is responsible for overseeing and executing ongoing email marketing programs within a designated business line. This role provides strategic recommendations for email execution, manages project workflows, and determines resource needs for new requests. The Email Campaign Manager is accountable for implementing email programs after the Owned Media Team has established the overall channel strategy. Responsibilities * Oversee and manage the day-to-day operations of multiple email marketing campaigns to ensure timely and accurate delivery. * Manage project timelines and scopes to maintain schedule and quality standards. * Provide recommendations to optimize or advise on email execution and campaign performance. * Architect and build new and complex campaign workflows based on business requirements. * Create scalable templates, playbooks, and trainings for the production team. * Collaborate cross-functionally to determine project management and production requirements for new requests, leveraging shared resources as needed. * Set up and execute A/B test email campaigns, analyze performance, and report results and recommendations. * Implement email programs based on strategies developed by the Owned Media Team. * Work closely with production teams to ensure effective use of email marketing platforms and tools. * Contribute to the development or refinement of channel strategies as an integral part of campaign planning processes. ## Qualifications Qualifications Basic Qualifications * 4+ years of experience deploying high-volume emails using an email marketing platform or applicable experience * 1+ year of management experience; prior experience managing offshore teams is a plus * Business fluency in English, with the ability to tailor messaging for diverse audiences Preferred Qualifications * BA/BS degree * Ability to collaborate with production teams and understand platform capabilities * Experience and proficiency in Adobe Campaign * Proficient in responsive email design and front-end development * Working knowledge of HTML/CSS and SQL * Proven ability to manage multiple projects in a deadline-driven environment Suggested skills * Email Campaign Management * Responsive Email Development (HTML, CSS) * Marketing Automation & Audience Segmentation (SQL) * Project Management & Multitasking in Deadline-driven Environments * Cross-functional Leadership & Stakeholder Communication ## Additional Information Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Email Campaign Manager - Fixed Term Contract at LinkedIn. Skills: Email campaign management, Marketing automation, Audience segmentation. Oversee email marketing campaigns. Manage project timelines", "postedDate" : "2026-06-15T21:44:33.000", "createdAt" : "2026-06-16T01:34:31.300", "lastUpdated" : "2026-06-16T13:57:18.125", "ingestTimestamp" : "2026-06-16T01:34:31.300", "mongoId" : "6a30730ff292fd229c000449", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Email campaign management", "Responsive email development", "Marketing automation", "Audience segmentation", "Multitasking", "Email marketing", "Project management", "Stakeholder communication", "Email marketing platforms", "Responsive email design", "Front-end development", "Adobe Campaign" ], "skillCount" : 12, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 737.8862, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e9b74d8ee00a0af8726", "title" : "Insights Manager, YouTube Marketing", "company" : "Google", "industry" : "Media", "salary" : { "min" : 195000.0, "max" : 295000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in the Media industry in San Bruno, United States, adjusted for Google's company size and the specified seniority level." }, "location" : "[San Bruno, CA, USA, [901 Cherry Ave, San Bruno, CA 94066, USA], San Bruno, 94066, CA, US]", "locations" : [ "[San Bruno, CA, USA, [901 Cherry Ave, San Bruno, CA 94066, USA], San Bruno, 94066, CA, US]", "[Chicago, IL, USA, [Chicago, IL, USA], Chicago, null, IL, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[Los Angeles, CA, USA, [Los Angeles, CA, USA], Los Angeles, null, CA, US]" ], "timestamp" : "2026-06-16T14:42:48.716", "fingerprint" : "a482dd96a8ab10fa1220c31d6af6672e1352b118304ca053c822a29ce33dedbc", "source" : "google", "language" : "en", "externalId" : "105371821355737798", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Bruno", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6248536,-122.4145986" } ], "locationText" : "San Bruno, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning" ], "hardSkillsList" : [ "A/B testing", "Data analysis", "Marketing strategy" ], "hardSkills" : [ { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Marketing strategy", "level" : "intermediate" } ], "majorSkills" : "Marketing analytics, Data visualization, A/B testing", "majorSkillsList" : [ "Marketing analytics", "Data visualization", "A/B testing" ], "coreResponsibilities" : "Develop and execute marketing strategies, Analyze campaign performance, Identify growth opportunities, Build and maintain dashboards, Present insights to stakeholders, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams; Marketing teams; Product teams", "domainKnowledge" : "YouTube marketing; Digital advertising; Consumer behavior", "domainList" : [ "youtube-marketing", "digital-advertising", "consumer-behavior" ], "domainSpecificKnowledge" : [ "YouTube marketing", "Digital advertising", "Consumer behavior" ], "toolProficiency" : [ "Tableau", "Looker", "Google Analytics" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Drive marketing growth; Optimize campaign performance; Increase user engagement", "qualificationsBasic" : "5+ years of experience in marketing analytics, Experience with A/B testing, Experience with SQL, Experience with data visualization tools", "qualificationsPreferred" : "Experience with Python or R, Experience with statistical modeling, Experience with machine learning", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Insights Manager, YouTube Marketing at Google. Skills: Marketing analytics, Data visualization, A/B testing. Develop and execute marketing strategies. Analyze campaign performance", "postedDate" : "2026-06-16T01:49:38.691", "createdAt" : "2026-06-16T01:49:38.691", "lastUpdated" : "2026-06-16T14:42:48.716", "ingestTimestamp" : "2026-06-16T01:49:38.691", "mongoId" : "6a210e9b74d8ee00a0af8726", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195000, "salaryAnnualMax" : 295000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "A/B testing", "Data analysis", "Marketing strategy", "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning", "YouTube marketing", "Digital advertising", "Consumer behavior", "Tableau", "Looker", "Google Analytics" ], "skillCount" : 13, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 734.83734, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb05a74d8ee00a09d9b2a", "title" : "Staff Software Engineer (Marketing Platforms)", "company" : "Nubank", "industry" : "Engineer", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Software Engineer in Brazil, adjusted for executive seniority and the FinTech industry." }, "location" : "Brazil", "locations" : [ "Brazil" ], "timestamp" : "2026-06-15T09:15:55.495", "fingerprint" : "5bf53789a89c38a6e9acea7da275e1c95f05151ff6ad8557453af89a9cb8e687", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nubank/d01c1dbc-8802-47b1-9fc5-ee59a280729d/application", "externalId" : "d01c1dbc-8802-47b1-9fc5-ee59a280729d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Brazil", "continent" : "sa", "workMode" : "hybrid" } ], "locationText" : "Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data-intensive platforms, Martech, Experimentation, Audience, Identity, Web platforms, Campaign orchestration, Website capabilities", "professionalSkills" : [ "System design", "Platform architecture", "Roadmap planning", "Stakeholder management", "Dependency management", "Interface management" ], "hardSkillsList" : [ "Data intelligence" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing platforms, Audience Manager, Website Platform, Campaign Manager", "majorSkillsList" : [ "Marketing platforms", "Audience Manager", "Website Platform", "Campaign Manager" ], "coreResponsibilities" : "Design evolving large-scale platforms, Operate across multiple channels, Operate across multiple markets, Partner Audience Manager squads, Partner Website Platform squads, Partner Campaign Manager squads, Define technical direction, Shape roadmaps, Ensure platforms work together, Translate strategy platform architecture, Turn needs architectural choices, Set architectural direction, Lead design reviews, Evolve engineering standards, Mentor engineers tech leads, Help teams design systems, Support data-driven decision making, Navigate complex stakeholder landscapes, Collaborate Product Data Design, Collaborate Marketing platform teams, Align priorities, Manage dependencies, Keep interfaces healthy, Operate high-visibility areas, Frame ambiguous problems, Drive alignment communication", "teamCollaboration" : "Cross-functional teams; Multiple squads; Product Data Design Marketing; Other platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Marketing technology; Audience/identity; Web platforms; Customer data platforms; Journey orchestration; Experimentation platforms; Growth platforms; Martech; CRM platforms; Digital financial services; Data intelligence", "domainList" : [ "marketing-technology", "audience-identity", "web-platforms", "customer-data-platforms", "journey-orchestration", "experimentation-platforms", "growth-platforms", "martech", "crm-platforms", "digital-financial-services", "data-intelligence" ], "domainSpecificKnowledge" : [ "Marketing technology", "Audience/identity", "Web platforms", "Customer data platforms", "Journey orchestration", "Experimentation platforms", "Growth platforms", "Martech", "CRM platforms", "Digital financial services", "Data intelligence" ], "communicationSkills" : "Technical documentation; RFCs; Design sessions; Presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Nucleo learning platform; NuLanguage language course", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "outcomesObjectives" : "Acquire engage retain customers; Platform decisions affect growth; Platform decisions affect brand", "qualificationsBasic" : "Solid experience Staff-level engineer, Designing evolving large-scale platforms, Data-intensive platforms experience, Marketing technology experience, Experimentation platforms experience, Audience/identity platforms experience, Web platforms experience, Work end-to-end multi-product stack, Partnering with several squads, Connect product strategy platform design, Growth brand objectives architectural choices, Audience campaign website capabilities, Technical leadership skills, Setting architectural direction, Driving design reviews, Evolving engineering standards, Mentoring engineers tech leads, High tolerance ambiguity, Frame complex problems clear options, Drive alignment structured communication", "qualificationsPreferred" : "Growth platforms background, Martech platforms background, CRM platforms background, Multi-country environments experience, Multi-brand environments experience, Customer data platforms experience, Journey orchestration experience, Experimentation platforms experience", "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT NU Nu is one of the largest digital financial services platforms in the world, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our institutional page: https://www.nu.com/2026-en STAFF SOFTWARE ENGINEER – MARKETING PLATFORMS ABOUT US Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and beyond — and this is still just the beginning of the purple future we’re building. We combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Learn more at: https://international.nubank.com.br/careers/ https://international.nubank.com.br/careers/ ABOUT THE ROLE The Marketing Platforms area, inside our Growth Platforms BU, is responsible for enabling Nubank’s growth engine across owned and paid channels. This includes our public websites (BR, MX, CO and future markets), the Audience Manager platform (how we build, govern and activate audiences for campaigns and experiments), and Campaign Manager / orchestration capabilities that connect messages, audiences and channels into coherent customer journeys at scale. As a Staff Software Engineer – Marketing Platforms , you will be a senior technical leader working across this ecosystem: defining architecture and technical direction, ensuring that Audience Manager, Website Platform and Campaign Manager evolve as a cohesive platform, and directly influencing how Nubank acquires, engages and retains customers across countries. YOU’LL BE RESPONSIBLE FOR - Designing and evolving large-scale, data-intensive marketing platforms, in domains such as martech, experimentation, audience/identity and web platforms, operating across multiple channels and markets. - Working end-to-end across the Marketing Platforms stack, partnering with Audience Manager, Website Platform and Campaign Manager squads to define technical direction, shape roadmaps and ensure these platforms work together as a cohesive ecosystem. - Translating growth and brand strategy into platform architecture, turning audience, campaign and website needs into clear architectural choices and explicit trade-offs with a long-term view. - Providing strong technical leadership: setting architectural direction, leading design reviews, evolving engineering standards and mentoring engineers and tech leads across multiple squads. - Helping teams design systems that are observable, debuggable and experimentation-friendly, supporting data-driven decision making in how we run campaigns and optimize journeys. - Navigating complex stakeholder landscapes, collaborating with Product, Data, Design, Marketing and other platform teams to align priorities, manage dependencies and keep interfaces between systems healthy over time. - Operating in high-visibility, cross-impact areas, where platform decisions directly affect Nubank’s growth, brand presence and audience activation across BR, MX, CO and future geos. - Framing ambiguous problems into clear options, and driving alignment through well-structured communication (technical docs, RFCs, design sessions and presentations). WE ARE LOOKING FOR A PERSON WHO HAS Required - Solid experience as a Staff-level engineer designing and evolving large-scale, data-intensive platforms, ideally in marketing technology, experimentation, audience/identity or web platforms. - Ability to work end-to-end across a multi-product stack, partnering with several squads to make sure platforms interoperate as a coherent ecosystem. - Proven track record connecting product strategy and platform design, turning growth and brand objectives into concrete architectural choices for audiences, campaign orchestration and website capabilities. - Strong technical leadership skills: setting architectural direction, driving design reviews, evolving engineering standards and mentoring senior engineers and tech leaders. - Experience with experimentation and data-driven decision making, and with designing systems that are observable, instrumented and easy to reason about. - Demonstrated ability to navigate complex stakeholder environments, collaborating with Product, Data, Design, Marketing and other platform teams to align priorities and manage dependencies. - Comfort operating in high-visibility, cross-impact domains, where platform decisions have direct effect on growth and brand outcomes. - High tolerance for ambiguity, with the ability to frame complex problems into clear options and drive alignment through structured written and verbal communication. Nice to have - Background in growth, martech or CRM platforms. - Experience in multi-country or multi-brand environments. - Previous work on customer data platforms, journey orchestration or experimentation platforms. LOCATION FOR THIS OPPORTUNITY - Brazil – Hybrid hubs: São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte (aligned with Nubank’s official office locations). WORK MODEL FOR THIS ROLE - Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ https://building.nubank.com/nu-hybrid-work-model/ OUR BENEFITS – BRAZIL (EMPLOYEE, HYBRID) - Chance of earning equity at Nubank - Food / Meal Card (Vale-Refeição and/or Vale-Alimentação) - Public Transportation Commuting Benefit (Vale-Transporte) - NuCare – Psychological, Financial and Legal Assistance Program - Life Insurance - Medical Plan - Dental Plan - NuLanguage – Language Course Program - Nucleo – Our learning platform of courses - Extended Parental Leave - Daycare Allowance - Parental Consultancy - Work-from-home Allowance - Gym Partnerships - 30 days of paid vacation - Relocation Assistance Package, if applicable JOIN US If you want to shape the platforms that power Nubank’s growth engine — from how we build audiences to how we orchestrate campaigns and run our public websites — we’d love to hear from you. Apply now to be our Staff Software Engineer – Marketing Platforms in Brazil. By submitting an application, I acknowledge that I have read and understand the Nubank Candidate Privacy Notice. Nubank Candidate Privacy Notice (English https://building.nubank.com/privacy-notice-for-candidates// Portuguese https://building.nubank.com/pt-br/aviso-de-privacidade-para-candidatos/ / Spanish). https://nu.com.mx/aviso-de-privacidad-candidatos/", "summaryDescription" : "Staff Software Engineer (Marketing Platforms) at Nubank. Skills: Marketing platforms, Audience Manager, Website Platform, Campaign Manager. Design evolving large-scale platforms. Operate across multiple channels", "createdAt" : "2026-06-14T04:42:53.860", "lastUpdated" : "2026-06-15T09:15:55.495", "ingestTimestamp" : "2026-06-14T04:42:53.860", "mongoId" : "6a2cb05a74d8ee00a09d9b2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data intelligence", "Leadership", "Mentoring", "Marketing platforms", "Audience Manager", "Website Platform", "Campaign Manager", "System design", "Platform architecture", "Roadmap planning", "Stakeholder management", "Dependency management", "Interface management", "Marketing technology", "Audience/identity", "Web platforms", "Customer data platforms", "Journey orchestration", "Experimentation platforms", "Growth platforms", "Martech", "CRM platforms", "Digital financial services" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 734.4838, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305987f292fd229cf48951", "title" : "Senior Campaign Manager, Global Campaigns", "company" : "1Password", "industry" : "Marketing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Campaign Manager in the SaaS industry in the United States, adjusted for company size and remote work." }, "location" : "Remote (United States | Canada)", "locations" : [ "Remote (United States | Canada)" ], "timestamp" : "2026-06-16T10:38:39.164", "fingerprint" : "7a562b1194d4c5a633b2b682b166d4272bc32cc1938a668361ba5bd987d6d938", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/1password/638f4a62-bf56-4b2a-91fb-77397e74a20d/application", "externalId" : "638f4a62-bf56-4b2a-91fb-77397e74a20d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, our purpose is to build a safe, simpler digital future for everyone. We believe security and convenience shouldn't be in conflict — and we're proving it every day for hundreds of thousands of businesses and millions of people around the world. The Senior Campaign Manager for Global Campaigns is where that belief meets the market. This is a high-impact role at the center of 1Password's growth engine, responsible for owning integrated campaign strategy that drives new logo demand and cross-sell expansion across key areas of the business. You won't just build campaigns — you'll shape how the market understands and adopts 1Password's most important solutions. To do it, you'll work at the intersection of storytelling and revenue, partnering closely with Solution Marketing, Product Marketing, Revenue Marketing, Performance Marketing, Growth Web, and Sales to turn sharp positioning into pipeline. You'll bring the right message to the right audience at the right moment — and you'll move fast to keep pace with a product portfolio that's rapidly evolving. A key part of how you'll operate is through AI. You'll actively build and leverage AI agents and automated workflows to accelerate campaign development, sharpen audience insights, and scale execution across markets — without losing the human judgment that makes great campaigns land. This is a role for someone who thrives in motion. You're comfortable operating in ambiguity, energized by evolving strategy, and excited by the opportunity to build campaigns that matter — in a category that's reshaping how businesses think about identity and security. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: - 8+ years of experience in demand generation, campaign marketing, or growth marketing within B2B SaaS or enterprise technology. - Proven ability to plan, execute, and measure multi-channel campaigns that drive pipeline, adoption, and revenue impact. - Strong experience leading cross-functional initiatives, including programs that bring new products or capabilities to market - Deep familiarity with enterprise sales cycles, buying committees, and the content/messaging needed to influence them. - Strong understand of enterprise B2B SaaS growth metrics including ARR, pipeline generation, product adoption, retention, and expansion - Strong analytical and decision-making skills with the ability to balance experimentation, data, and strategic judgement - Ability to deliver clear recommendations and influence decisions across all levels of the organization - Experience using AI as a force-multiplier for demand generation efforts—speeding research, insights, and content iteration—while preserving brand voice and accuracy. What you can expect: Growth Marketing Leadership in a Fast Paced, Test and Learn Environment - Own enterprise marketing sourced pipeline generation goals through campaign strategy, audience development, and programs. - Partner with Solution Marketing to define new logo ICP and target customers, priority use cases, and demand hypotheses. - Translate product strategy into clear value focused market narratives, demand generation plans, and activation programs. Demand Creation & Market Activation - Build full-funnel demand generation campaigns leveraging AI tools for audience segmentation, creative personalization, and optimal channel spend to drive engagement and pipeline growth. - Develop campaign briefs, timelines, and project plans, ensuring alignment and smooth, on-time delivery with clear ownership and accountability. - Test new campaigns, plays, and routes to market that drive meaningful impact. - Track and report regularly on marketing performance. Work with early indicators of traction, learn quickly, and iterate based on results. Cross-Functional Partnership - Partner with Performance & Paid Media, Growth Web, and Field Marketing to build omni-channel programs. - Work with Solution Marketing to shape positioning, messaging frameworks, and proof points. - Collaborate with Content, Product Marketing, and Design to develop and iterate on high-performing assets across all stages of the buyer journey, from awareness through closed-won. - Align closely with Sales to enable early pipeline generation and refine qualification and messaging based on real-world feedback. What success looks like: - Pipeline creation and sales engagement driven by marketing-led initiatives. - Clear, validated positioning and messaging that drives scalable growth. - Strong alignment between Solution Marketing, Sales, and Marketing on target customers and GTM approach. - Development of an always-on campaign engine that consistently delivers pipeline while enabling flexibility and testing. - Regularly build & run AI agents to automate the repetitive, amplify the creative, and free yourself to focus on the strategy that moves the needle. USA-based roles only: The annual base salary for this role is between $150,000 USD and $218,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $147,000 CAD and $213,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing \uD83D\uDC76 Maternity and parental leave top-up programs \uD83E\uDE7A Competitive health benefits \uD83C\uDFDD Generous PTO policy Growth and future \uD83D\uDCC8 RSU program for most employees \uD83D\uDCB8 Retirement matching program \uD83D\uDD11 Free 1Password account Community \uD83E\uDD1D Paid volunteer days \uD83C\uDFC6 Peer-to-peer recognition through Bonusly \uD83C\uDF0E Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.", "summaryDescription" : "Senior Campaign Manager, Global Campaigns at 1Password. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics", "createdAt" : "2026-06-16T00:32:02.451", "lastUpdated" : "2026-06-16T10:38:39.164", "ingestTimestamp" : "2026-06-16T00:32:02.451", "mongoId" : "6a305987f292fd229cf48951", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 729.15155, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309bc1f292fd229c0f3ef6", "title" : "Experiential Marketing Manager", "company" : "Wing", "industry" : "Innovation Engineering", "salary" : { "min" : 60000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T13:58:46.391", "fingerprint" : "f0f7b494525574a42e69f679bad8dd0c321cc526f39d1657abf6775471db125b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/getwingapp/1bbc1541-1fe6-40c3-9b2d-733364fa3142/apply", "externalId" : "1bbc1541-1fe6-40c3-9b2d-733364fa3142", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Event logistics", "Budget management", "Negotiation", "Vendor management", "Relationship management" ], "hardSkillsList" : [ "Event planning", "Campaign management", "Budget forecasting", "KPI reporting", "Lead capture", "Lead qualification", "Post-event reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Event planning", "level" : "intermediate" }, { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Budget forecasting", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Lead capture", "level" : "intermediate" }, { "name" : "Lead qualification", "level" : "intermediate" }, { "name" : "Post-event reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Event marketing, Field marketing, Campaign management, Budget management", "majorSkillsList" : [ "Event marketing", "Field marketing", "Campaign management", "Budget management" ], "coreResponsibilities" : "Source and prioritize events, Research and evaluate events, Recommend tradeshows and conferences, Own 12-month event calendar, Negotiate and contract sponsorships, Negotiate booth space, Negotiate speaking slots, Manage vendor relationships, Manage venue relationships, Plan and execute events, Manage booth design, Manage booth shipping, Manage swag, Manage collateral, Manage lead capture, Manage badge scanners, Manage AV, Manage catering, Manage hotel blocks, Manage team travel, Attend events in person, Set up booths, Tear down booths, Troubleshoot in real time, Brief attending team members, Partner with sales, Book pre-show meetings, Run dinners, Run customer events, Ensure lead capture, Ensure lead qualification, Ensure lead follow-up, Run pre-event campaigns, Run post-event campaigns, Manage event spend, Track event costs, Forecast event spend, Define event KPIs, Report on event results, Build post-event reports", "teamCollaboration" : "Partner with sales; Partner with marketing; Partner with product; Brief attending team members", "projectManagementSkills" : [ "Timeline management", "Budget management", "Vendor management" ], "domainKnowledge" : "Agentic AI; B2B SaaS; AI for business", "domainList" : [ "agentic-ai", "b2b-saas", "ai-for-business" ], "domainSpecificKnowledge" : [ "Agentic AI", "B2B SaaS", "AI for business" ], "toolProficiency" : [ "HubSpot", "Cvent", "Splash", "Bizzabo", "Goldcast" ], "communicationSkills" : "Written communication; In-person communication; Executive briefing; Prospect engagement", "problemSolvingSkills" : "Troubleshooting; Problem-solving on feet", "specialRequirements" : "Travel 30-50%, Live near major airport hub", "outcomesObjectives" : "Drive real pipeline; Turn badge scans into meetings; Turn badge scans into opportunities; Turn badge scans into revenue; Maximize ROI", "qualificationsBasic" : "1-4 years event marketing experience, 1-4 years field marketing experience, 1-4 years event coordination experience, B2B or tech event marketing experience, Track record organizing events end to end, Experience managing events budget, Ability to define KPIs, Ability to build reports, Experience using AI for work, Familiarity with HubSpot, Project management instincts, Comfortable negotiating with vendors, Comfortable negotiating with event organizers, Excellent communicator, Calm under pressure, Willing to travel 30-50%", "qualificationsPreferred" : "Experience with Cvent, Experience with Splash, Experience with Bizzabo, Experience with Goldcast, Experience with international events, Experience with international vendors, Background in B2B SaaS, Background in fast-paced tech", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Wing is seeking elite talent to join M32 AI (backed by top-tier Silicon Valley VCs), dedicated to building agentic AI for traditional service businesses. Think of it like a startup within a corporate: fast moving and agile, with the stability of a corporate, and zero bureaucracy. If you’re driven by challenge and eager to make a significant impact in a high-caliber role, this is the opportunity you’ve been waiting for. We're hiring a Field & Events Marketer to own our presence at industry events, tradeshows, and conferences across North America. You'll source the right shows, run them end to end, and be the person on the ground making sure every event drives real pipeline. This is a hands-on role for someone 1-4 years into their career who loves logistics, thrives in fast-paced environments, and gets a kick out of pulling off a great event. You'll partner closely with sales, marketing, and product to turn booth space and badge scans into meetings, opportunities, and closed revenue. Why This Role You'll own a high-visibility function from day one. Every event is a chance to shape how customers, prospects, and the industry see us. If you want to grow fast, take real ownership, and build a portfolio of events you're genuinely proud of, this is the seat for you. ## What You'll Do Source and prioritize events. Research, evaluate, and recommend tradeshows, conferences, and industry events that align with our ICP and revenue goals. Own a rolling 12-month event calendar. Negotiate and contract. Manage relationships with event organizers, vendors, and venues. Negotiate sponsorships, booth space, speaking slots, and add-ons to stretch every dollar. Plan and execute end to end. Own every detail, including booth design and shipping, swag, collateral, lead capture, badge scanners, AV, catering, hotel blocks, and travel logistics for the team. Be the on-site point of contact. Attend every event in person. Set up and tear down booths, troubleshoot in real time, and make sure our presence looks sharp from start to finish. Prep the team. Brief attending team members on objectives, talking points, target accounts, and logistics. Make sure everyone knows where to be, when, and what to do. Drive pipeline with sales. Partner with sales to book pre-show meetings, run dinners and customer events on-site, and ensure every lead is captured, qualified, and followed up on quickly. Run pre- and post-event campaigns. Work with marketing on email outreach, landing pages, paid promotion, and social to drive booth traffic and meeting bookings before the show. Own the budget. Manage event spend across the full calendar. Track costs, forecast accurately, flag risks early, and make smart trade-off decisions when priorities shift. Define KPIs and report on results. Set clear KPIs for each event (leads, meetings, pipeline, ROI) and build clean post-event reports that show what worked, what didn't, and how to improve next time. ## What We're Looking For 1 to 4 years of experience in event marketing, field marketing, or event coordination, ideally B2B or tech. A track record of organizing events end to end, even at smaller scale. You can point to shows you ran and what came out of them. Experience managing an events budget. You know how to forecast, track spend, and make trade-offs to maximize ROI. Comfortable defining KPIs and building reports that connect event activity to pipeline and revenue. Genuinely into AI and using it to work smarter. You can show us specific projects, tools, or workflows where you've used AI to automate or improve your work as an events marketer (research, vendor outreach, post-event reporting, content drafting, lead enrichment, etc.). This is a must, not a nice to have. Familiarity with HubSpot is sufficient on the CRM side; we'll take care of the rest. Strong project management instincts. You stay on top of timelines, budgets, vendors, and dozens of moving pieces without dropping the ball. Comfortable negotiating with vendors and event organizers to get the best terms. Excellent communicator, written and in person. You can rally a team, brief executives, and chat up prospects on a show floor with equal ease. Calm under pressure. Things go wrong at events; you problem-solve on your feet. Willing and able to travel 30 to 50% during peak event seasons across North America, with potential European travel as we expand. ## Location and Work Authorization This is a fully remote role open to candidates based in the US or Canada. Because travel is core to the job, we need you to live within roughly an hour of a major airport hub with frequent direct flights. This keeps travel costs reasonable and gets you to events without painful layovers. Qualifying US hubs include (but aren't limited to): Atlanta (ATL), Boston (BOS), Charlotte (CLT), Chicago (ORD/MDW), Dallas (DFW), Denver (DEN), Detroit (DTW), Houston (IAH), Los Angeles (LAX), Miami (MIA), Minneapolis (MSP), New York (JFK/EWR/LGA), Philadelphia (PHL), Phoenix (PHX), San Francisco (SFO), Seattle (SEA), Washington DC (IAD/DCA). Qualifying Canadian hubs: Toronto (YYZ), Vancouver (YVR), Calgary (YYC), Montreal (YUL). If you're near another major hub with strong direct connectivity to the cities where industry events typically happen (Las Vegas, Orlando, San Francisco, NYC, Chicago, Austin), we'd love to hear from you. Work authorization: You must have the right to work in the country where you live. We are not able to offer visa sponsorship for this role. Nice to have Experience with event tools like Cvent, Splash, Bizzabo, or Goldcast. Experience working with international events or vendors. Background in B2B SaaS or a similar fast-paced tech environment. ## Additional Information Note: due to the seniority of this role, you are exempt from completing any initial assessments sent to you via email. If you do receive them, simply ignore them.", "summaryDescription" : "Experiential Marketing Manager at Wing. Skills: Event marketing, Field marketing, Campaign management, Budget management. Source and prioritize events. Research and evaluate events", "postedDate" : "2026-06-15T23:13:06.229", "createdAt" : "2026-06-15T23:13:06.229", "lastUpdated" : "2026-06-16T13:58:46.391", "ingestTimestamp" : "2026-06-16T03:27:05.711", "mongoId" : "6a309bc1f292fd229c0f3ef6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Event planning", "Campaign management", "Budget forecasting", "KPI reporting", "Lead capture", "Lead qualification", "Post-event reporting", "Leadership", "Event marketing", "Field marketing", "Budget management", "Event logistics", "Negotiation", "Vendor management", "Relationship management", "Timeline management", "Agentic AI", "B2B SaaS", "AI for business", "HubSpot", "Cvent", "Splash", "Bizzabo", "Goldcast" ], "skillCount" : 24, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 725.9826, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "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" : 724.119, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "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" : 721.47595, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca67974d8ee00a09bbb40", "title" : "Trade Marketing Intelligence Analyst Intern", "company" : "SumUp", "industry" : "FinTech", "salary" : { "min" : 26000.0, "max" : 34000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Trade Marketing Intelligence Analyst Intern in London, United Kingdom, with adjustments for the FinTech industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T03:21:05.538", "fingerprint" : "54790d972c317cde627c3b981412227e1dbddbb74bcffc4182a0f371eb9f190c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://sumup.com/careers/positions/8547167002?gh_jid=8547167002", "externalId" : "8547167002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "ML modelling" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "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" } ], "majorSkills" : "Data science, Data engineering, ML/AI, BI, Analytics engineering", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "BI", "Analytics engineering" ], "coreResponsibilities" : "Manage multiple requests, Prioritise effectively, Deliver clear outputs, Spot errors, Spot inconsistencies, Summarise complex data", "teamCollaboration" : "Cross-functional teams; Global collaboration", "domainKnowledge" : "Fintech products", "domainList" : [ "fintech-products" ], "domainSpecificKnowledge" : [ "Fintech products" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Summarise complex data", "problemSolvingSkills" : "Methodical approach", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the team SumUp's Retail Click familiarity with Power BI or similar BI tools is a plus Ability to manage multiple requests at once, prioritise effectively, and deliver clear outputs under time pressure Comfort working with large, sometimes messy datasets and a methodical approach to spotting errors or inconsistencies Strong communication skills, with the ability to summarise complex data in a way that's easy for non-technical stakeholders to act on Why join SumUp Berlin benefits \uD83C\uDF0E Opportunity to work with SumUppers globally on fintech products used by millions of businesses worldwide, from our Berlin office at Ostbahnhof \uD83C\uDF08 Be part of an inclusive and collaborative environment where different perspectives are valued \uD83C\uDFD6️ 28 days of paid leave plus public holidays and special leave days, pro-rated \uD83D\uDEB5\uD83C\uDFFE‍♂️ Access health and well-being support through our Employee Assistance Programme, an Urban Sports Club subsidy, and fitness activities, including on-site gym access, yoga sessions, and team sports \uD83D\uDE86 Benefit from subsidised public transport with the Deutschlandticket, offering unlimited travel on local and regional transport across Germany \uD83E\uDD57 Enjoy partially subsidised office lunches and weekly breakfast \uD83D\uDD17 Receive additional rewards through our employee referral programme when referring talents to join our team About SumUp Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.", "summaryDescription" : "Trade Marketing Intelligence Analyst Intern at SumUp. Skills: Data science, Data engineering, ML/AI, BI, Analytics engineering. Manage multiple requests. Prioritise effectively", "postedDate" : "2026-06-13T21:59:19.670", "createdAt" : "2026-06-13T21:59:19.670", "lastUpdated" : "2026-06-15T03:21:05.538", "ingestTimestamp" : "2026-06-13T21:59:19.670", "mongoId" : "6a2ca67974d8ee00a09bbb40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "BI", "Analytics engineering", "Quantitative analysis", "Business intelligence", "ML modelling", "Fintech products", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Power BI" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 719.5482, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305119f292fd229cef9d13", "title" : "Media Manager, Brand Marketing and Integrated Campaigns", "industry" : "Marketing", "salary" : { "min" : 80000.0, "max" : 95000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T11:12:28.212", "fingerprint" : "1856a57b4e056bc4ca0317d660231caf6dc4d5d65ebae0c1f2c23bde74abc6e3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9b7024a1-7233-4541-a9bf-e4d8bda66c51/apply", "externalId" : "9b7024a1-7233-4541-a9bf-e4d8bda66c51", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Google Analytics, GA4, PowerBI", "professionalSkills" : [ "Media planning", "Media execution", "Media optimization", "Investment strategy", "Budget management", "Stakeholder management" ], "hardSkillsList" : [ "Performance analysis", "Data interpretation" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Media strategy, Campaign execution, Performance optimization, Budget management", "majorSkillsList" : [ "Media strategy", "Campaign execution", "Performance optimization", "Budget management" ], "coreResponsibilities" : "Lead development of media strategies, Lead execution of media strategies, Translate brand objectives into media plans, Translate campaign objectives into media plans, Define channel mix, Define investment strategy, Define optimization approach, Manage end-to-end campaign execution, Brief agencies, Oversee trafficking readiness, Oversee QA processes, Ensure accurate in-platform setup, Monitor campaign performance, Analyze campaign performance, Optimize campaign performance, Generate insights, Generate actionable recommendations, Manage media budgets effectively, Ensure efficient allocation of spend, Track performance, Align with acquisition goals, Align with fundraising goals, Oversee agency relationships, Ensure clear agency briefs, Ensure agency accountability, Ensure timely agency delivery, Ensure alignment with performance expectations, Ensure alignment with KPIs, Contribute to scalable media workflows, Contribute to reporting standards, Contribute to optimization frameworks", "teamCollaboration" : "Internal stakeholders; External stakeholders; Analytics teams; Brand teams; Marketing teams; Communications teams; Digital teams", "domainKnowledge" : "Digital media ecosystem; Paid search; Digital acquisition; Emerging media; Fundraising marketing; Nonprofit marketing; Mission-driven marketing", "domainList" : [ "digital-media-ecosystem", "paid-search", "digital-acquisition", "emerging-media", "fundraising-marketing", "nonprofit-marketing", "mission-driven-marketing" ], "domainSpecificKnowledge" : [ "Digital media ecosystem", "Paid search", "Digital acquisition", "Emerging media", "Fundraising marketing", "Nonprofit marketing", "Mission-driven marketing" ], "toolProficiency" : [ "Google Analytics", "GA4", "PowerBI" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Professional development opportunities; Continuous learning support", "problemSolvingSkills" : "Data interpretation; Actionable recommendations", "specialRequirements" : "Occasional travel to Toronto office", "qualificationsBasic" : "6–8 years of experience in media planning, 6–8 years of experience in media execution, 6–8 years of experience in media optimization, Expertise in digital media, Expertise in performance media, Proven experience managing always-on media programs, Proven experience managing large-scale integrated campaigns, Experience working with external media agencies, Experience briefing agencies, Experience performance oversight of agencies, Experience budget accountability with agencies, Solid understanding of the digital media ecosystem, Solid understanding of paid search, Solid understanding of digital acquisition, Solid understanding of emerging media opportunities, Analytical skills to interpret performance data, Ability to translate insights into actionable media strategies, Experience working in cross-functional environments, Excellent communication skills, Excellent stakeholder management skills, Ability to influence without direct authority", "qualificationsPreferred" : "Proficiency in Google Analytics, Proficiency in GA4, Proficiency in PowerBI, Experience in fundraising marketing, Experience in nonprofit marketing, Experience in mission-driven marketing", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Accountabilities Lead the development and execution of media strategies across integrated campaigns, including always-on performance media, paid search, digital acquisition, and emerging channels. Translate brand and campaign objectives into actionable media plans, defining channel mix, investment strategy, and optimization approach in collaboration with internal and external stakeholders. Manage end-to-end campaign execution, including briefing agencies, overseeing trafficking readiness, QA processes, and ensuring accurate in-platform setup across channels. Monitor, analyze, and optimize campaign performance in real time, working closely with analytics teams to generate insights and actionable recommendations. Manage media budgets effectively, ensuring efficient allocation of spend, clear tracking of performance, and alignment with acquisition and fundraising goals. Oversee agency relationships, ensuring clear briefs, accountability, timely delivery, and alignment with performance expectations and KPIs. Contribute to the development of scalable media workflows, reporting standards, and optimization frameworks to improve overall marketing effectiveness. Requirements: 6–8 years of experience in media planning, execution, and optimization, with strong expertise in digital and performance media. Proven experience managing always-on media programs alongside large-scale integrated campaigns across multiple channels. Strong background in working with external media agencies, including briefing, performance oversight, and budget accountability. Solid understanding of the digital media ecosystem, including paid search, digital acquisition, and emerging media opportunities. Strong analytical skills with the ability to interpret performance data and translate insights into actionable media strategies. Experience working in cross-functional environments with Brand, Marketing, Analytics, Communications, and Digital teams. Excellent communication and stakeholder management skills, with the ability to influence without direct authority. Proficiency in tools such as Google Analytics (including GA4) and PowerBI is considered an asset. Bonus: experience in fundraising, nonprofit, or mission-driven marketing environments. Benefits: Competitive salary range of CAD 80,000–95,000 aligned with experience and internal compensation framework. Comprehensive health, dental, vision, life, and disability insurance coverage. Defined contribution pension plan with employer matching. Generous paid time off including vacation days, personal days, wellness days, and year-end holiday closure. Flexible hybrid work model with occasional travel to the Toronto office. Employee assistance program (EAP) and wellness-focused benefits. Home office setup support and mobile phone reimbursement. Professional development opportunities and continuous learning support. Inclusive, values-driven culture focused on equity, diversity, and community impact. ## 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" : "Media Manager, Brand Marketing and Integrated Campaigns. Skills: Media strategy, Campaign execution, Performance optimization, Budget management. Lead development of media strategies. Lead execution of media strategies", "postedDate" : "2026-06-15T12:32:22.542", "createdAt" : "2026-06-15T12:32:22.542", "lastUpdated" : "2026-06-16T11:12:28.212", "ingestTimestamp" : "2026-06-16T03:21:48.944", "mongoId" : "6a305119f292fd229cef9d13", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Data interpretation", "Media strategy", "Campaign execution", "Performance optimization", "Budget management", "Media planning", "Media execution", "Media optimization", "Investment strategy", "Stakeholder management", "Digital media ecosystem", "Paid search", "Digital acquisition", "Emerging media", "Fundraising marketing", "Nonprofit marketing", "Mission-driven marketing", "Google Analytics", "GA4", "PowerBI" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 718.70795, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051ccf292fd229cf06f05", "title" : "Manager - Analytics", "company" : "Glance", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager - Analytics in Bangalore, India, adjusted for the technology industry and company size." }, "location" : "Bangalore, Karnataka, India", "locations" : [ "Bangalore", "Karnataka", "India" ], "timestamp" : "2026-06-16T07:42:17.077", "fingerprint" : "baa5b03b4592b8424c3cd5750aa62b69c77846415fe485b6022b97405e16a04b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/glance/jobs/7984361", "externalId" : "7984361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceLevel" : "Manager", "rawDescription" : "Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. What is the role about? Manager Analytics is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders. What will you be doing? You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data driven decision making. You will execute quantitative analysis that translates data into actionable insights You will drive data driven decision making through the stakeholders You will influence new opportunities for business based on internal/ external data You will drive the team to adopt new and innovative ways of solving business problems What is expected out of you? Educational/ Work Qualifications Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 5+ Years of experience in advanced analytics, python scripting. Required abilities / competencies: Ability to breakdown any problem into components that can be collaboratively solved Ability to negotiate on the scope of the problem through business understanding Penchant for business and persistence to work with data to derive insights Experience in analyzing very large, complex, multi-dimensional data sets Ability to find innovative solutions to mitigate dependencies and risks for deliverables Ability to independently plan and execute deliveries Exceptional written and verbal communication skills Ability to multitask and work on a diverse range of requirements Technical capabilities: Expertise in SQL, Excel, other scripting languages (R, Python, etc.) Good background in statistical modelling and experience with statistical tools such as R, Python, Spark Working experience with BI tools(Power BI, Superset) \"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email.\"", "summaryDescription" : "Manager - Analytics at Glance", "postedDate" : "2026-06-15T23:19:48.062", "createdAt" : "2026-06-15T23:19:48.062", "lastUpdated" : "2026-06-16T07:42:17.077", "ingestTimestamp" : "2026-06-15T23:19:48.062", "mongoId" : "6a3051ccf292fd229cf06f05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 717.8651, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c692474d8ee00a090635c", "title" : "Senior Product Manager - Merchant Intelligence and Analytics", "industry" : "Product", "location" : "Remote", "locations" : [ "Remote", "Remote - EMEA" ], "timestamp" : "2026-06-15T09:41:08.681", "fingerprint" : "130ebb148618211b59b3bd68d425e661a4f39b1a3359d54546b1eb6b84dad77d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/e7426b59-431b-418b-a501-dde7f13b21bf/application", "externalId" : "e7426b59-431b-418b-a501-dde7f13b21bf", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Product strategy", "Business intelligence", "Reporting design" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Business intelligence, Customer insights, Data analysis", "majorSkillsList" : [ "Product strategy", "Business intelligence", "Customer insights", "Data analysis" ], "coreResponsibilities" : "Develop product strategy, Execute product strategy, Define business intelligence metrics, Define insights metrics, Build actionable reporting, Communicate Constructor's impact, Design reporting for personas, Own cross-product revenue breakdown, Surface shopping journey impact, Drive proactive insights, Lead cross-functional team, Scale cross-functional team, Manage product cycle, Conduct customer research, Understand analytics consumption, Understand decision making, Understand value proof, Collaborate with product teams, Ensure data quality, Ensure data actionability, Communicate at all levels, Set expectations, Provide updates", "teamCollaboration" : "Cross-functional teams; Fellow product teams; GTM teams; Internal stakeholders", "projectManagementSkills" : [ "Product cycle management", "Roadmap planning" ], "domainKnowledge" : "Product discovery; E-commerce; Business performance; Return on investment; Shopping journey", "domainList" : [ "product-discovery", "e-commerce", "business-performance", "return-on-investment", "shopping-journey" ], "domainSpecificKnowledge" : [ "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "communicationSkills" : "Shareable narratives; Regular updates", "problemSolvingSkills" : "Root cause analysis; Opportunity assessment; Risk assessment; Decision making", "outcomesObjectives" : "Prove Constructor value; Make insights accessible; Make insights actionable; Drive retention; Drive upsells; Drive customer trust; Make ROI visible; Explain revenue drivers; Expand insight reach; Ensure value transparency; Ensure value clarity; Understand business performance; Understand ROI; Deliver compelling narratives; Position Constructor indispensable; Drive e-commerce business; Unify merchandisers; Unify product managers; Unify marketers; Unify analysts; Unify executives; Provide actionable insights; Explain why insights happen; Guide next steps; Launch products; Enable teams; Enable customers; Iterate on results", "qualificationsBasic" : "Customer research competencies, Strategic thinking, Cross-functional leadership, Experience working remotely, Experience in agile software development", "qualificationsPreferred" : "Background in analytics, Background in e-commerce products", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT YOU As the Product Manager for Merchant Intelligence & Analytics (MIA), you will lead a cross-functional team building intelligence products that prove the value Constructor brings to e-commerce businesses — making insights from the product discovery journey accessible and actionable for stakeholders from digital merchandisers to executives. You are a data storyteller and user experience advocate who excels at turning fragmented analytics into proactive, guided, and holistic user journeys delivered to the right persona through the right channel at the right time. By leveraging your competencies in customer research, strategic thinking, and cross-functional leadership, you will bridge the gap between raw analytics data and business intelligence that drives retention, upsells, and customer trust. JOB DESCRIPTION Constructor is the only platform that delivers reinforcement-learning-based product discovery that delivers the right product to the right person at the right time in the right context. Our customers need actionable data that proves ROI, informs merchandising strategy, and surfaces opportunities for improvement across the entire product discovery journey. The business impact we deliver to our customers is real — Constructor has never lost an A/B test against competition. The opportunity ahead is to make it continuously visible beyond A/B tests, building an always-on explanation of how product discovery drives revenue. Our customer-facing dashboard already serves merchandisers well, and the next challenge is expanding the reach to every persona responsible for conversion: product managers, marketers, analysts, and executives. Success in this role means ensuring that the massive business value Constructor delivers is fully transparent and clear across our customers' organizations. As a Product Manager leading the MIA team, you will own the customer job of understanding business performance and ROI of product discovery driven by Constructor. This is a high visibility, high impact role that involves conducting deep customer research across multiple personas, finding the right channels to deliver insights, defining metrics for insight quality and adoption, leading your cross-functional team, and ultimately, translating vast and complex data into compelling, shareable narratives for all audiences, from IC merchandisers to executives. WHAT YOU WILL DO - Develop and execute a comprehensive product strategy and metrics for business intelligence and insights that position Constructor as an indispensable product discovery platform for driving e-commerce business. - Build clear and actionable reporting that communicates Constructor's impact on business metrics and is designed to be consumed and shared across multiple personas through the right channels (customer app, email, exports, conversational AI). - Own the cross-product revenue breakdown: surface how each step in the shopping journey drives e-commerce business as the shared mental model that unifies merchandisers, product managers, marketers, analysts, and executives. - Drive proactive, actionable insights at each step of the product discovery journey — not just data on what's happening, but why it's happening and what to do next. - Lead and scale a cross-functional team of engineers and a designer, while owning the full product cycle from discovery to prototyping, implementation, launching, enabling fellow teams and customers, and iterating on results. - Conduct customer research across multiple personas and industries to understand how different stakeholders consume analytics, make decisions, and prove value internally. - Collaborate closely with fellow product teams to ensure data quality and actionability in merchandising, explainability, reporting, and AI agent workflows. - Communicate effectively at all levels to ensure wonderful experience for customers, prospects, GTM teams, and internal stakeholders, by setting the right expectations and providing regular updates on product strategy, roadmap, and progress against key initiatives and team metrics. WHO WE ARE LOOKING FOR - You are a data storyteller — you can take complex e-commerce data and translate it into compelling, value-based, and actionable narratives tailored to different audiences: executives, PMs, merchandisers, marketers. - You are a user experience advocate who turns fragmented workflows into proactive, guided, and holistic experiences. You understand that data is not delivered until it provokes action. - You love doing qualitative and quantitative customer research. You go beyond surface-level requests to understand the underlying business needs behind them. - You are a problem solver who digs into root causes, assesses opportunities and risks, and makes decisions even when faced with uncertainty. - You are able to motivate cross-functional teams and drive outcomes by involving and guiding fellow product and GTM teams. - You think strategically and execute consistently — delivering tangible wins while ensuring focus on long-term objectives. You know how to trade off short-term customer requests with strategic bets. - You are comfortable collaborating with technical teams (data engineering, ML, backend) outside your area of expertise to make informed product decisions. - You are naturally curious about new ideas and products. - You seek a fast-moving entrepreneurial environment and thrive in ever-evolving processes. - You have experience of working remotely and in agile software development with empowered cross-functional teams. - Having a background in analytics and/or e-commerce products is a plus.", "summaryDescription" : "Senior Product Manager - Merchant Intelligence and Analytics. Skills: Product strategy, Business intelligence, Customer insights, Data analysis. Develop product strategy. Execute product strategy", "createdAt" : "2026-06-14T04:55:21.210", "lastUpdated" : "2026-06-15T09:41:08.681", "ingestTimestamp" : "2026-06-14T04:55:21.210", "mongoId" : "6a2c692474d8ee00a090635c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Qualitative research", "Quantitative research", "Product strategy", "Business intelligence", "Customer insights", "Data analysis", "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Reporting design", "Product cycle management", "Roadmap planning", "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 715.5435, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b4374d8ee00a0910f24", "title" : "Staff Analytics, Product & Marketing", "company" : "EarnIn", "industry" : "FinTech", "salary" : { "min" : 215000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-16T01:10:19.088", "fingerprint" : "043ab32fd9448a8004b95cf62046870977c314421b43aeee401d291c508f19b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/earnin/jobs/8001075", "externalId" : "8001075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "SQL, Python, Experimentation, Statistical modeling, AI, LLMs, Automation, Uplift modeling, Causal inference, Databricks, Snowflake, Dbt, Amplitude, Looker", "professionalSkills" : [ "Analytics strategy", "Product analytics", "Growth analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Uplift modeling", "Causal inference", "Experimentation rigor", "Data modeling" ], "hardSkillsList" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Uplift modeling", "level" : "intermediate" }, { "name" : "Product analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "AI-driven workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics strategy, AI-driven analytics, Product analytics, Growth analytics", "majorSkillsList" : [ "Analytics strategy", "AI-driven analytics", "Product analytics", "Growth analytics" ], "coreResponsibilities" : "Shape analytics strategy, Drive analytics strategy, Mentor the team, Develop the team, Collaborate with Marketing, Collaborate with Product, Collaborate with Engineering, Translate business needs, Build AI-driven pipelines, Surface insights proactively, Scale decision-making, Build AI-driven analytics agents, Automate workflows, Productionize systems at scale, Develop experimentation frameworks, Develop causal measurement frameworks, Develop product analytics frameworks, Design measurement approaches, Implement measurement approaches, Design modeling approaches, Implement modeling approaches, Develop deep understanding, Identify opportunities for growth, Identify risks for growth, Identify levers for growth, Communicate insights clearly, Influence product roadmaps, Influence marketing roadmaps", "teamCollaboration" : "Cross-functional partners; Product teams; Engineering teams; Marketing teams; Executives; Cross-functional leaders", "domainKnowledge" : "Earned wage access; Fintech; Consumer tech; Product analytics; Growth analytics; Acquisition; Activation; Engagement; Retention; Monetization; LTV; Paid surfaces; Owned surfaces; Product surfaces", "domainList" : [ "earned-wage-access", "fintech", "consumer-tech", "product-analytics", "growth-analytics", "acquisition", "activation", "engagement", "retention", "monetization", "ltv", "paid-surfaces", "owned-surfaces", "product-surfaces" ], "domainSpecificKnowledge" : [ "Earned wage access", "Fintech", "Consumer tech", "Product analytics", "Growth analytics", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces" ], "toolProficiency" : [ "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "communicationSkills" : "Storytelling; Technical audiences; Non-technical audiences", "innovationCreativity" : "AI-driven workflows; Automation", "problemSolvingSkills" : "Actionable insights; Identify opportunities; Identify risks; Identify levers", "outcomesObjectives" : "Drive user growth; Drive user engagement; Transform analytics operations; Scale decision-making", "qualificationsBasic" : "7+ years in analytics, 7+ years data science, Deep hands-on execution, SQL technical skills, Python technical skills, Experimentation technical skills, Statistical modeling technical skills, Experience building AI-driven analytics workflows, Solid background in product analytics, Solid background in growth analytics, Experience with causal inference, Experience with uplift modeling, Experience with experimentation frameworks, Ability to operate as high-leverage IC, Partner closely with executives, Partner closely with cross-functional leaders, Excellent communication skills, Excellent storytelling skills", "qualificationsPreferred" : "Experience in fintech a plus, Experience in consumer tech a plus, Experience in data-driven product organizations a plus, Familiarity with modern data stacks a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself. The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week. WHAT YOU'LL DO Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces. Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale. Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV. Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional). Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth. Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights. WHAT WE'RE LOOKING FOR 7+ years in analytics, data science with deep hands‑on execution. Strong technical skills in SQL, Python, experimentation, and statistical modeling. Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar). Solid background in product and growth analytics across activation, engagement, retention, and monetization. Experience with causal inference, uplift modeling, and experimentation frameworks. Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders. Excellent communication and storytelling skills for technical and non‑technical audiences. Experience in fintech, consumer tech, or data‑driven product organizations is a plus. Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus #LI-Hybrid At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.", "summaryDescription" : "Staff Analytics, Product & Marketing at EarnIn. Skills: Analytics strategy, AI-driven analytics, Product analytics, Growth analytics. Shape analytics strategy. Drive analytics strategy", "postedDate" : "2026-06-14T18:33:18.417", "createdAt" : "2026-06-14T18:33:18.417", "lastUpdated" : "2026-06-16T01:10:19.088", "ingestTimestamp" : "2026-06-14T18:33:18.417", "mongoId" : "6a2c6b4374d8ee00a0910f24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows", "Leadership", "Mentoring", "Analytics strategy", "AI-driven analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Experimentation rigor", "Data modeling", "Earned wage access", "Fintech", "Consumer tech", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces", "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 715.1268, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc3ff74d8ee00a0a0b8de", "title" : "Associate Media Manager, Prime Video", "company" : "Amazon.com Services LLC", "industry" : "Marketing PR, Marketing, entertainment", "salary" : { "min" : 70400.0, "max" : 113700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-16T03:02:00.590", "fingerprint" : "2e589aafafe4aecc04c2f8ecac64340211d5e16e0a3865aed57bddf02c785d84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441104/apply", "externalId" : "6e6bc20c-8ac8-449a-8235-693325fa2a80", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SEO, SEM, SQL", "professionalSkills" : [ "Marketing analytics", "A/B testing", "Campaign management", "Brand strategy", "Customer acquisition", "Growth metrics" ], "hardSkillsList" : [ "Digital marketing", "Marketing analytics", "A/B testing", "SEO", "SEM" ], "hardSkills" : [ { "name" : "Digital marketing", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "SEO", "level" : "intermediate" }, { "name" : "SEM", "level" : "intermediate" } ], "majorSkills" : "Digital marketing, Marketing analytics, Campaign management", "majorSkillsList" : [ "Digital marketing", "Marketing analytics", "Campaign management" ], "coreResponsibilities" : "Develop and execute marketing strategies, Manage digital marketing campaigns, Analyze campaign performance, Optimize marketing spend, Identify new growth opportunities, Collaborate with internal teams, Report on key marketing metrics", "teamCollaboration" : "Internal teams", "domainKnowledge" : "Prime Video; E-commerce marketing", "domainList" : [ "prime-video", "e-commerce-marketing" ], "domainSpecificKnowledge" : [ "Prime Video", "E-commerce marketing" ], "toolProficiency" : [ "Amazon Ads", "Amazon DSP", "Amazon Marketing Cloud", "Tableau" ], "qualificationsBasic" : "5+ years of experience in marketing, 3+ years of experience in digital marketing, Experience with marketing analytics tools, Experience with A/B testing, Experience with SEO/SEM", "qualificationsPreferred" : "Experience with Amazon Ads, Experience with Amazon DSP, Experience with Amazon Marketing Cloud, Experience with Tableau, Experience with SQL", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video brings together the world’s best creators with the most passionate communities in a way that no other entertainment brand can. We offer customers distinctive, critically acclaimed and award-winning original programming including TV series such as The Boys, Fallout and The Summer I Turned Pretty, movies like The Pickup, The Idea of You, and Road House, and exclusive Live Sports such as Thursday Night Football and NBA on Prime. Prime Video offers a multi-dimensional experience that allows subscribers to fully immerse themselves in their fandom: to read the book, to listen to the soundtrack, to buy the costume, to replay live sports in real time, and more. The breadth and connection to the Amazon family of brands, along with the support of a passionate and diverse global team, makes Prime Video a company where creators of all kinds can build their future. We are seeking a talented Associate Media Manager to support our integrated media team in planning, executing, and optimizing media strategies for Prime Video marketing campaigns. This role focuses on media execution, insights collection, and cross-functional collaboration to build a transparent view of campaign performance and drive data-informed decisions. You will work closely with marketing, analysts, and media partners to ensure campaigns align with business goals and deliver measurable impact. This position blends strategic support and operational execution, developing and implementing go-to-market strategies across owned and operated digital platforms and paid media campaigns. Key job responsibilities Performance Monitoring & Insights – Collect, analyze, and socialize campaign performance data to inform strategic decisions. Generate regular performance reports for stakeholders, highlighting key metrics, trends, and improvement opportunities. Partner with cross-functional teams to identify actionable insights and recommend optimizations that enhance campaign effectiveness and drive measurable results. Media Planning & Execution Support – Assist in developing data-driven media strategies for Prime Video campaigns, translating audience insights into actionable plans. Support media operations, timeline management, and performance forecasting to ensure campaigns are executed efficiently and deliver measurable impact. Process Improvement & Standardization – Improve SOPs, enhance tool adoption, and perform governance audits to streamline media operations, including reporting dashboards and asset repositories. Identify and implement workflow efficiencies to improve campaign speed and accuracy across all media execution processes. About the team The integrated media team leads marketing campaigns across owned and operated digital platforms and paid media campaigns. They deliver high-impact, scaled launches for Amazon Original content, Live Events, and Sports on Prime Video. Basic Qualifications: - 2+ years of professional non-internship marketing experience - Experience using data and metrics to measure impact and determine improvements Preferred Qualifications: - 3+ years of professional non-internship marketing experience - Bachelor's degree in film, media, production, marketing 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, Culver City - 70,400.00 - 113,700.00 USD annually", "summaryDescription" : "Associate Media Manager, Prime Video at Amazon.com Services LLC. Skills: Digital marketing, Marketing analytics, Campaign management. Develop and execute marketing strategies. Manage digital marketing campaigns", "postedDate" : "2026-06-14T19:27:30.234", "createdAt" : "2026-06-14T19:27:30.234", "lastUpdated" : "2026-06-16T03:02:00.590", "ingestTimestamp" : "2026-06-14T19:27:30.234", "mongoId" : "6a2cc3ff74d8ee00a0a0b8de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441104/apply", "salaryAnnualMin" : 70400, "salaryAnnualMax" : 113700, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Digital marketing", "Marketing analytics", "A/B testing", "SEO", "SEM", "Campaign management", "Brand strategy", "Customer acquisition", "Growth metrics", "Prime Video", "E-commerce marketing", "Amazon Ads", "Amazon DSP", "Amazon Marketing Cloud", "Tableau" ], "skillCount" : 15, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 714.7297, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8be474d8ee00a0974050", "title" : "Growth Marketing Manager", "company" : "Injective", "industry" : "Marketing", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Growth Marketing Manager in New York, adjusted for the FinTech industry and company size." }, "location" : "New York or Remote (US)", "locations" : [ "New York or Remote (US)" ], "timestamp" : "2026-06-15T12:09:16.009", "fingerprint" : "a71a5ebbacda55ebdbe57e36827064143a548cdaf87c40670f82dd095c6741b0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/injective/e69f178e-b6fd-481c-9c81-2926fcfb0512/application", "externalId" : "e69f178e-b6fd-481c-9c81-2926fcfb0512", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Marketing analytics", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "User acquisition", "User activation", "User retention", "Product adoption", "Global markets expansion", "Onboarding flows", "Acquisition channels" ], "hardSkillsList" : [ "Experimentation methodologies" ], "hardSkills" : [ { "name" : "Experimentation methodologies", "level" : "intermediate" } ], "majorSkills" : "Growth marketing, User acquisition, Campaign optimization", "majorSkillsList" : [ "Growth marketing", "User acquisition", "Campaign optimization" ], "coreResponsibilities" : "Develop growth strategies, Execute growth strategies, Analyze user behavior, Analyze conversion funnels, Analyze campaign performance, Identify growth opportunities, Own growth metrics, Track growth metrics, Run growth experiments, Optimize campaigns, Partner with Product teams, Partner with Business Development teams, Improve onboarding flows, Improve user adoption, Identify new acquisition channels, Test new acquisition channels", "teamCollaboration" : "Cross-functionally; Partner with Product; Partner with Business Development", "domainKnowledge" : "Web3 finance; Layer-1 blockchain; Financial applications; DeFi; Blockchain space; Crypto", "domainList" : [ "web3-finance", "layer-1-blockchain", "financial-applications", "defi", "blockchain-space", "crypto" ], "domainSpecificKnowledge" : [ "Web3 finance", "Layer-1 blockchain", "Financial applications", "DeFi", "Blockchain space", "Crypto" ], "toolProficiency" : [ "Marketing analytics tools" ], "problemSolvingSkills" : "Translate data into recommendations", "outcomesObjectives" : "Drive user growth; Improve product adoption; Accelerate expansion", "qualificationsBasic" : "5+ years growth marketing, Experience scaling user growth, Experience analyzing marketing performance, Familiarity with growth marketing frameworks, Experience with marketing analytics tools, Analytical mindset, Strong interest in crypto, Fluent in English", "qualificationsPreferred" : "Experience in fintech, Experience in trading, Experience in crypto, Experience in regulated industry, Ability to keep finger on pulse, Passion for Injective mission, Ability to articulate Injective mission", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT INJECTIVE Injective is trailblazing a new era of Web3-enabled finance. As a Layer‑1 blockchain built exclusively for financial applications, Injective is one of the industry’s fastest‑growing ecosystems. Today, Injective powers custom tokenized assets, on‑chain markets, and groundbreaking DeFi applications, all designed for speed, interoperability, and real‑world utility. ABOUT THE ROLE We are looking for a Growth Marketing Manager with a proven track record of driving significant growth in fast-moving, regulated industries. This role is for someone who thrives in high-ownership environments and can operate effectively in highly technical settings. Most importantly, we are looking for someone who is genuinely passionate about DeFi. In this role, you will work cross-functionally to drive user growth, improve product adoption, and accelerate Injective's expansion across global markets. RESPONSIBILITIES: - Develop and execute growth strategies to drive user acquisition, activation, and retention across Injective products. - Analyze user behavior, conversion funnels, and campaign performance to identify growth opportunities. - Own and track key growth metrics, including user acquisition, engagement, activation, and retention. - Run growth experiments across channels and optimize campaigns based on data-driven insights. - Partner with Product and Business Development teams to improve onboarding flows and user adoption. - Identify and test new acquisition channels to expand Injective's reach beyond the existing crypto-native audience. WHO YOU ARE: - 5+ years of experience in a growth or performance marketing role with proven track record of driving measurable user growth. - Experience scaling user growth for a consumer-facing product, ideally in fintech, trading, crypto, or another regulated industry. - Experience analyzing marketing performance and user engagement metrics. - Familiarity with growth marketing frameworks and experimentation methodologies. - Experience with marketing analytics tools and campaign reporting. - Strong analytical mindset with the ability to translate data into actionable recommendations. - Possess a strong, proven interest in the crypto and DeFi space - Must be fluent in English - Strong written and oral communications - Ability to keep your finger on the pulse of current trends and developments in the blockchain space - Passion for the Injective mission and flourishing of DeFi, and the ability to articulate both - Working knowledge of popular blockchain companies, key players, and current industry trends WHY WORK WITH US? - Competitive salary and INJ token award - Remote-friendly work environment with flexible hours. - Health insurance. - Unlimited PTO - Equipment - Home Office Stipend - Opportunity to work on cutting-edge blockchain technology in the finance industry. - Collaborative team culture with opportunities for professional growth and development. - Global team meet ups. As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injective.foundation http://injective.foundation domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.", "summaryDescription" : "Growth Marketing Manager at Injective. Skills: Growth marketing, User acquisition, Campaign optimization. Develop growth strategies. Execute growth strategies", "createdAt" : "2026-06-14T04:04:39.176", "lastUpdated" : "2026-06-15T12:09:16.009", "ingestTimestamp" : "2026-06-14T04:04:39.176", "mongoId" : "6a2c8be474d8ee00a0974050", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Experimentation methodologies", "Growth marketing", "User acquisition", "Campaign optimization", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "User activation", "User retention", "Product adoption", "Global markets expansion", "Onboarding flows", "Acquisition channels", "Web3 finance", "Layer-1 blockchain", "Financial applications", "DeFi", "Blockchain space", "Crypto", "Marketing analytics tools" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 709.01227, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 119254, "totalPages" : 2386, "hasNext" : true, "hasPrevious" : false } }

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