{ "count" : 174749, "data" : [ { "id" : "6a2c7d1274d8ee00a094ee6c", "title" : "Senior Marketing Analytics Manager - BI & Data Architecture", "company" : "Samsara", "industry" : "SaaS", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Marketing Analytics Manager in Canada, adjusted for the technology industry and remote work in Toronto." }, "location" : "Remote - Toronto", "locations" : [ "Remote - Toronto" ], "timestamp" : "2026-06-15T09:51:53.005", "fingerprint" : "0ce1e4dcf3b12cefe5b6d08f3b1b7530d6bebd5c87a59fb228b7a9c79dc334c6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.samsara.com/company/careers/roles/7917475?gh_jid=7917475", "externalId" : "7917475", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "remote", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, DBT, Databricks, AI", "professionalSkills" : [ "Data architecture", "Business intelligence", "Data engineering", "Semantic models", "Data analysis", "Data modeling", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "ETL pipelines", "Data transformation", "Data modeling", "BI development", "Performance analysis", "Data warehousing" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data Architecture, Business Intelligence, Data Engineering, AI for BI", "majorSkillsList" : [ "Data Architecture", "Business Intelligence", "Data Engineering", "AI for BI" ], "coreResponsibilities" : "Design, build, and maintain robust ETL pipelines, Build 'Gold Layer' tables in Databricks, Develop and document semantic layers, Develop data dictionaries, Develop markdown files designed to train and enable, Develop dashboards and analyses to surface business-critical KPIs, Assess sales and marketing performance, Perform ad-hoc reporting and deep dives, Uncover key insights across programs and initiatives, Inform strategy and decision making, Partner with marketing stakeholders to translate complex business, Create scalable data models, Create analytics-ready datasets, Champion, role model, and embed Samsara’s cultural principles", "teamCollaboration" : "Marketing, Sales, and Data Engineering teams; Marketing stakeholders", "domainKnowledge" : "Connected Operations Cloud; IoT data; Physical operations; Video-Based Safety; Vehicle Telematics; Agentic AI workflows; AI for BI", "domainList" : [ "connected-operations-cloud", "iot-data", "physical-operations", "video-based-safety", "vehicle-telematics", "agentic-ai-workflows", "ai-for-bi" ], "domainSpecificKnowledge" : [ "Connected Operations Cloud", "IoT data", "Physical operations", "Video-Based Safety", "Vehicle Telematics", "Agentic AI workflows", "AI for BI" ], "toolProficiency" : [ "Databricks", "Tableau" ], "documentationSkills" : "Structured documentation", "problemSolvingSkills" : "Analytical and critical thinking skills", "qualificationsBasic" : "Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields, 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience, Expert in SQL, python, DBT and visualization platforms, Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets, Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows, Analytical and critical thinking skills with experience in data analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: Are you passionate about building robust data architectures that power next-generation, AI-driven business intelligence? Do you thrive in the intersection of data engineering and analytics, wearing both hats to design scalable backends and deliver actionable insights? We are looking for a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to join our Marketing Analytics team. In this role, you will work closely with our Marketing, Sales, and Data Engineering teams to build the foundational \"Gold Layers\" and semantic models that enable self-serve reporting and agentic AI workflows. This is a great opportunity for a highly technical analyst who is hands-on with Python, Databricks, and SQL, and is excited about creating the infrastructure that enables AI for BI. If you’re energized by the challenge of bridging the gap between raw data pipelines and advanced analytical outputs, we’d love to hear from you. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D. C. Metro Area. Relocation assistance will not be provided for this position. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: Act as the bridge between Data Engineering and Marketing Analytics, designing, building, and maintaining robust ETL pipelines and \"Gold Layer\" tables in Databricks. Develop and document semantic layers, data dictionaries, and markdown files designed specifically to train and enable AI agents for scalable, self-serve BI. Develop dashboards and analyses to surface business-critical KPIs and assess sales and marketing performance. Perform ad-hoc reporting and deep dives to uncover key insights across programs and initiatives to inform strategy and decision making. Partner with marketing stakeholders to translate complex business requirements into scalable data models and analytics-ready datasets. Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields. 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience. Expert in SQL, python, DBT and visualization platforms (Tableau preferred). Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets. Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows. Strong analytical and critical thinking skills with experience in data analysis. Comfortable leveraging AI tools to accelerate data transformation, analysis, and visualization workflows. Experience supporting Sales, Product or Marketing teams. An ideal candidate also has: Experience building interactive applications using Streamlit or Claude workflows. Experience building web applications Experience working in web analytics Sales and marketing experience including familiarity with MarTech tools. Navigate large, multifaceted datasets to answer hard questions — drawing on the right analytical or statistical approach for each problem. Data Science, machine learning or predictive analytics experience. Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks, exploring AI-assisted features in tools, and staying current on how AI is reshaping the analytics landscape. Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $119,000—$180,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.", "summaryDescription" : "Senior Marketing Analytics Manager - BI & Data Architecture at Samsara. Skills: Data Architecture, Business Intelligence, Data Engineering, AI for BI. Design, build, and maintain robust ETL pipelines. 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Develop scalable insights to power the business", "createdAt" : "2026-06-14T18:37:23.043", "lastUpdated" : "2026-06-16T03:27:33.787", "ingestTimestamp" : "2026-06-14T18:37:23.043", "mongoId" : "69faf7994c40e2acd186140c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1238.2307, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79f574d8ee00a0943db8", "title" : "Lead Data Analytics – Power BI", "company" : "Pearce Services Global", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Analytics role in India, adjusted for the technology industry and lead seniority level." }, "location" : "India", "locations" : [ "India" ], "certifications" : [ "Power BI certifications", "Microsoft certifications", "Data Analytics certifications" ], "timestamp" : "2026-06-15T09:33:02.863", "fingerprint" : "7f78829c7ee6ebdf66d941a998de23be240284db139690c5a6c89e711e0a0fe7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/psg/jobs/5233915008", "externalId" : "5233915008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Power BI, DAX, Power Query, M, SQL, Data modeling, Star schema", "professionalSkills" : [ "Business intelligence", "Reporting initiatives", "Data modeling", "Visualization standards", "Performance optimization", "Scalability", "Governance", "Requirement analysis", "Data integration", "Data architecture", "Data warehousing", "Data lakes", "Analytics platforms", "Data quality", "Data accuracy", "Validation", "Reconciliation", "Data governance", "Security", "Access controls", "Audit requirements", "Compliance requirements", "Documentation requirements" ], "hardSkillsList" : [ "Calculated measures", "ETL processes", "ELT processes", "Data extraction", "Data transformation", "Data validation", "Performance tuning", "Data quality standards", "Data accuracy standards", "Data reconciliation" ], "softSkillsList" : [ "Leadership", "Mentoring", "Team management", "Stakeholder engagement" ], "hardSkills" : [ { "name" : "Calculated measures", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "ELT processes", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Data quality standards", "level" : "intermediate" }, { "name" : "Data accuracy standards", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Team management" }, { "name" : "Stakeholder engagement" } ], "majorSkills" : "Power BI, Data Analytics, Business Intelligence, Reporting", "majorSkillsList" : [ "Power BI", "Data Analytics", "Business Intelligence", "Reporting" ], "coreResponsibilities" : "Lead data analysts, Manage BI developers, Prioritize tasks, Review quality, Develop skills, Establish best practices, Conduct design reviews, Ensure adherence, Own Power BI solution delivery, Analyze requirements, Develop reports, Develop dashboards, Test solutions, Deploy solutions, Optimize semantic models, Develop interactive dashboards, Develop self-service BI, Optimize reports, Optimize dashboards, Design ETL processes, Optimize ETL processes, Design ELT processes, Optimize ELT processes, Extract data, Transform data, Validate data, Tune performance, Participate in data architecture discussions, Support integration, Gather requirements, Document requirements, Translate requirements, Provide insights, Provide trends, Provide recommendations, Drive adoption, Ensure data quality, Ensure data accuracy, Ensure data validation, Ensure data reconciliation, Implement data governance, Maintain data governance, Implement security, Maintain security, Implement access controls, Maintain access controls, Support audit requirements, Support compliance requirements, Support documentation requirements", "teamCollaboration" : "Business stakeholders; Data engineering teams; Business leaders; Technical stakeholders; Non-technical stakeholders", "domainKnowledge" : "Data warehousing; Analytics platforms; Cloud data platforms", "domainList" : [ "data-warehousing", "analytics-platforms", "cloud-data-platforms" ], "domainSpecificKnowledge" : [ "Data warehousing", "Analytics platforms", "Cloud data platforms" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Explain insights", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "4+ years hands-on Power BI, Advanced DAX, Power Query / M, Data modeling, Star schema design, SQL skills, Querying large datasets, Optimizing large datasets, Data warehousing concepts, Large-scale enterprise data, Multiple source systems, Lead teams, Deliver analytics solutions, Analytical thinking, Problem-solving, Attention to detail, Communication skills", "qualificationsPreferred" : "Experience with cloud data platforms, Azure Synapse experience, Snowflake experience, Big Query experience, Data integration tools, Orchestration tools, Executive-level dashboards, Operational dashboards, Power BI certifications, Microsoft certifications, Data Analytics certifications, Master's degree", "rawDescription" : "Position: Lead Data Analytics – Power BI (E) Location: Hyderabad Experience: 7+ years overall experience in Data & Analytics (with 4+ years hands‑on Power BI) Role Overview We are seeking an experienced Lead Data Analytics – Power BI professional to lead enterprise business intelligence and reporting initiatives. This role combines hands‑on technical expertise with team leadership and stakeholder engagement. The ideal candidate will design scalable Power BI solutions, define data models and reporting standards, mentor a team of analysts, and translate complex business requirements into actionable insights that drive decision‑making across the organization. Key Responsibilities Leadership & People Management Lead, mentor, and manage a team of data analysts and BI developers, including task prioritization, quality reviews, and skill development. Establish best practices for Power BI development, data modeling, and visualization standards. Conduct design reviews and ensure adherence to performance, scalability, and governance guidelines. Power BI & Analytics Delivery Own end‑to‑end Power BI solution delivery, including requirement analysis, data modeling, report/dashboard development, testing, and deployment. Design and optimize semantic models, star schemas, and calculated measures using DAX. Develop interactive dashboards and self‑service BI solutions tailored to executive, operational, and functional audiences. Ensure reports and dashboards are optimized for performance, refresh efficiency, and usability. Data Engineering & Integration Work closely with data engineering teams to design and optimize ETL/ELT processes feeding Power BI datasets. Leverage SQL for data extraction, transformation, validation, and performance tuning. Participate in data architecture discussions involving data warehouses, data lakes, and analytics platforms. Support integration with cloud or on‑prem data platforms as needed. Stakeholder & Business Collaboration Partner with business stakeholders to gather, document, and translate reporting and analytics requirements into technical solutions. Act as a trusted advisor to business leaders by providing insights, trends, and recommendations based on data. Drive adoption of data‑driven decision‑making across departments. Data Quality, Governance & Security Ensure high standards for data quality, accuracy, validation, and reconciliation in all analytics outputs. Implement and maintain data governance, security, and access controls within Power BI. Support audit, compliance, and documentation requirements for enterprise reporting. Required Skills & Experience Strong hands‑on expertise in Power BI, including: DAX (advanced calculations, performance optimization) Power Query / M Data modeling and star schema design Strong SQL skills with experience querying and optimizing large datasets. Solid understanding of data warehousing concepts (facts, dimensions, slowly changing dimensions). Experience working with large‑scale enterprise data and multiple source systems. Proven ability to lead teams and deliver analytics solutions end‑to‑ Strong analytical thinking, problem‑solving, and attention to detail. Excellent communication skills with the ability to explain insights to technical and non‑technical stakeholders. Preferred / Nice‑to‑Have Qualifications Experience with cloud data platforms (e.g., Azure Synapse, Snowflake, Big Query, or similar). Exposure to data integration or orchestration tools. Experience supporting executive‑level and operational dashboards. Power BI, Microsoft, or Data Analytics certifications. Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related field.", "summaryDescription" : "Lead Data Analytics – Power BI at Pearce Services Global. Skills: Power BI, Data Analytics, Business Intelligence, Reporting. Lead data analysts. Manage BI developers", "postedDate" : "2026-06-14T08:49:44.849", "createdAt" : "2026-06-14T08:49:44.849", "lastUpdated" : "2026-06-15T09:33:02.863", "ingestTimestamp" : "2026-06-14T08:49:44.849", "mongoId" : "6a2c79f574d8ee00a0943db8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Calculated measures", "ETL processes", "ELT processes", "Data extraction", "Data transformation", "Data validation", "Performance tuning", "Data quality standards", "Data accuracy standards", "Data reconciliation", "Leadership", "Mentoring", "Team management", "Stakeholder engagement", "Power BI", "Data Analytics", "Business Intelligence", "Reporting", "Business intelligence", "Reporting initiatives", "Data modeling", "Visualization standards", "Performance optimization", "Scalability", "Governance", "Requirement analysis", "Data integration", "Data architecture", "Data warehousing", "Data lakes", "Analytics platforms", "Data quality", "Data accuracy", "Validation", "Reconciliation", "Data governance", "Security", "Access controls", "Audit requirements", "Compliance requirements", "Documentation requirements", "Cloud data platforms", "Power BI certifications", "Microsoft certifications", "Data Analytics certifications" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 1196.509, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 1090.685, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "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" : 1084.8789, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c77b774d8ee00a093d268", "title" : "Senior Analytics Manager (BI)", "company" : "Zopa", "industry" : "BI", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analytics Manager in London, adjusted for the FinTech industry and manager seniority." }, "location" : "London", "locations" : [ "London" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:28:43.546", "fingerprint" : "d54756e660f3a339f9a96759abf4ca6e93e3bb7f1ec1aa0c4d82014a2ae43cac", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/zopa/b7f3c5e2-3bf2-424f-ae5b-78d411a295fc/apply", "externalId" : "b7f3c5e2-3bf2-424f-ae5b-78d411a295fc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, Tableau, Dbt, Streamlit, LookML, BI", "professionalSkills" : [ "People development", "Stakeholder management", "BI strategy", "Data quality", "Definition consistency" ], "hardSkillsList" : [ "BI delivery", "Reporting infrastructure", "Automated MI packs", "Dashboard sprawl", "Data modelling", "Natural language querying", "AI adoption", "AI experimentation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "BI delivery", "level" : "intermediate" }, { "name" : "Reporting infrastructure", "level" : "intermediate" }, { "name" : "Automated MI packs", "level" : "intermediate" }, { "name" : "Dashboard sprawl", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Natural language querying", "level" : "intermediate" }, { "name" : "AI adoption", "level" : "intermediate" }, { "name" : "AI experimentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "BI, Analytics, Stakeholder management, Team leadership", "majorSkillsList" : [ "BI", "Analytics", "Stakeholder management", "Team leadership" ], "coreResponsibilities" : "Lead and develop a team, Invest in team growth, Set high standards, Build a culture of quality, Build a culture of accountability, Own prioritisation, Manage stakeholder demand, Make decisions on effort focus, Communicate decisions to senior partners, Drive BI delivery across the bank, Own the team's roadmap, Maintain reporting infrastructure, Evolve reporting infrastructure, Balance short-term delivery, Balance longer-term foundational work, Lead strategic effort to address dashboard sprawl, Build an approach for trusted dashboards, Build an approach for governed dashboards, Build an approach for findable dashboards, Build an approach for compute-cost efficient dashboards, Champion data quality, Champion definition consistency, Ensure published data is relied upon, Partner with analytics leads, Partner with analytics engineering, Partner with data engineering, Design scalable BI solutions, Design well-governed BI solutions, Build a semantic layer, Make natural language querying practical, Build a clear vision for BI team, Articulate a clear vision for BI team, Stay ahead of BI space change, Translate changes into a credible roadmap, Champion AI adoption within the team, Experiment with new tools, Help analysts build in new ways, Find resource-efficient paths, Manage transition without disrupting delivery", "teamCollaboration" : "Partner with analytics leads; Partner with analytics engineering; Partner with data engineering", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Credit concepts", "domainList" : [ "credit-concepts" ], "domainSpecificKnowledge" : [ "Credit concepts" ], "toolProficiency" : [ "Dbt", "Tableau", "Streamlit", "LookML" ], "communicationSkills" : "Senior partner communication", "continuousLearning" : "Experimenting with new tools; Exploring emerging technologies", "innovationCreativity" : "AI adoption; AI experimentation", "problemSolvingSkills" : "Address dashboard sprawl; Find resource-efficient paths", "specialRequirements" : "Work abroad 120 days", "qualificationsBasic" : "5+ years BI experience, SQL proficiency, Python proficiency, Tableau proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Fintech experience, Financial services experience", "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 ## A day in the life Lead and run BI today: Lead and develop a team of seven analysts, investing in their growth, setting high standards and building a culture of quality and accountability Own prioritisation and stakeholder management across diverse, concurrent demand – making clear-headed decisions about where to focus effort and communicating those decisions confidently to senior partners Drive BI delivery across the bank - own the team's roadmap, maintain and evolve our reporting infrastructure (including dbt models, Tableau dashboards and Python-based automated MI packs), balancing short-term delivery with longer-term foundational work Lead a strategic effort to address dashboard sprawl – building an approach that ensures dashboards are trusted, well-governed, easy to find and compute-cost efficient Champion data quality and definition consistency, ensuring everything the team publishes can be relied upon by stakeholders Partner with other analytics leads, analytics engineering and data engineering to design scalable, well-governed BI solutions Shape the future: Play a central role in building our semantic layer – a strategic initiative with full leadership backing – and making natural language querying a practical reality for analysts and stakeholders Build and articulate a clear vision for what the BI team looks like in the future: the tools it uses, the products it builds and the value it delivers as the platform landscape continues to evolve Stay ahead of rapid change in the BI space – from AI-assisted analysis and interactive HTML dashboards to new platform capabilities – and translate these into a credible roadmap Champion AI adoption within the team, actively experimenting with new tools and helping analysts build in new ways Find resource-efficient paths to move from the current world to the next, managing the transition without disrupting delivery ## About you Leadership and people development – you have proven experience leading a BI or analytics team in a fast-paced, data-driven environment Analytics experience – you've built experience across BI, analytics, product analytics or adjacent data disciplines and understand how these functions work together to create value Business-first mindset – you think in outcomes and value, not just data and delivery. You ask \"why does this matter?\" before \"how do we build it?\" Stakeholder management – you're comfortable navigating competing demands, managing senior relationships and building trust across a diverse set of stakeholders BI strategy – you have a clear point of view on what good looks like for a BI function, and you can articulate and sell that vision Technical skills – you bring fluency across SQL, Python and Tableau (or equivalent BI tooling) Innovation – you actively explore emerging technologies and identify practical opportunities to improve how teams work, access data and generate insight Modern BI tooling – experience with semantic layers, data modelling and modern BI approaches (e.g. dbt, Streamlit, LookML) Comfortable with ambiguity – you thrive when the landscape is shifting and can help your team do the same AI-fluent – you're actively using AI tools and can point to concrete examples of how they've changed the way you operate; a track record of building or deploying AI-powered data products is a strong advantage Fintech or financial services experience is an advantage but not essential – curiosity and a willingness to get up to speed on credit concepts matters more. ## 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" : "Senior Analytics Manager (BI) at Zopa. Skills: BI, Analytics, Stakeholder management, Team leadership. Lead and develop a team. 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Marketing teams; Engineering teams; Stakeholders", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Attribution modeling; Customer lifetime value", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "attribution-modeling", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present insights; Communicate findings", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2492 - Director, Data Science (Marketing Analytics) - UK Role Summary and Impact We are seeking an exceptional Senior Data Scientist to join our Marketing Science team, serving as both a technical leader and hands-on contributor in building advanced activation solutions that drive superior client performance. This role combines strategic leadership responsibilities with deep technical expertise in econometric modelling and predictive analytics. Responsibilities This is a dynamic and compelling role, and the successful candidate will need to demonstrate an ability to manage multiple projects simultaneously. You will develop a close working relationship with various internal and external teams. The objectives of the role are varied and will adapt to the business objectives as we grow. The following areas are key to the successful management and development of the team: Drive technical excellence and innovation in marketing measurement Build and scale team capabilities that enhance expertise in advanced analytics and marketing analytics methodologies Strengthen stakeholder relationships Establish analytical standards and best practices Foster a culture of continuous learning, collaboration, and excellence within the department Responsibilities Leadership and Team Management: Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence Establish team priorities, allocate resources effectively, and ensure delivery of high-quality analytical solutions Develop and implement training programs to enhance team capabilities in advanced analytics and marketing analytics Conduct performance reviews, provide regular feedback, and support career progression planning Build a collaborative, innovation-focused team culture that encourages experimentation and learning Stakeholder Management Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams Translate complex analytical insights into actionable business recommendations and strategic guidance Collaborate with client service teams to scope analytical requirements and deliver solutions that meet business objectives Present high-level insights, recommendations, and innovations to senior stakeholders Cultivate strong relationships with agencies, identifying opportunities for expanded collaboration and business growth Address escalated client concerns and ensure consistent delivery of high-quality solutions Technical Excellence & Data Science Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques Develop predictive models for campaign performance, customer behaviour, and business outcomes Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference Create cross-channel reach and frequency measurement frameworks and attribution models Build automated reporting and monitoring systems for ongoing campaign optimization Oversee the development of innovative data models and analytical frameworks to drive marketing effectiveness Ensure the team stays current with the latest advancements in data science and machine learning relevant to marketing Collaborate with the Marketing Strategists to translate complex data insights into actionable marketing strategies Guide the development of optimisation strategies both independently and in collaboration with WPP Media EMEA team. Innovation & Methodology Development Research and implement new analytical approaches, tools, and methodologies in marketing science Develop proprietary frameworks and best practices for effectiveness measurement and optimization Lead proof-of-concept projects exploring emerging techniques in marketing analytics Establish analytical standards and quality assurance processes across the team Contribute to thought leadership through white papers, industry presentations, and case studies Skills & Experience Advanced expertise in Marketing Mix Modelling (MMM) including media saturation curves, adstock effects, and base vs. incremental decomposition Strong econometrics background with experience in time series analysis, panel data methods, and causal inference Proficiency in predictive modelling using machine learning techniques (regression, tree-based methods, neural networks) Programming expertise in R and/or Python with experience in relevant libraries (e.g., tidyverse, scikit-learn, PyMC3, Stan) Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL) Knowledge of experimental design and A/B testing methodologies Familiarity with marketing measurement frameworks including attribution, incrementality testing, and media optimization Business & Leadership Skills Exceptional communication skills with ability to present complex analyses to non-technical stakeholders Proven experience managing and developing technical teams Strong project management capabilities with experience handling multiple concurrent initiatives Deep understanding of digital marketing ecosystem and media channels Experience working in agency, consulting, or client services environment preferred Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Director, Data Science (Marketing Analytics) at WPP Media. Skills: Data Science, Machine Learning, Data Engineering, Marketing Analytics. Develop and implement advanced statistical and machine learning. 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As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 1041.4899, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30503ff292fd229ceedf3c", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T05:40:25.996", "fingerprint" : "a1ad4d9a00366e1c7ae464d9c051fb28202e96a0de31f1b6f660b3f58f51c488", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "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", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data & Analytics, Business Intelligence, Data Modeling, Storytelling", "majorSkillsList" : [ "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Support scalable, efficient analysis, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain models that forecast business outcomes, Develop and maintain models that forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance measurement", "domainList" : [ "business-performance-measurement" ], "domainSpecificKnowledge" : [ "Business performance measurement" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Ambiguous questions", "outcomesObjectives" : "Drive business forward; Make smarter, faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data & Analytics, Business Intelligence, Data Modeling, Storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T21:41:34.690", "lastUpdated" : "2026-06-16T05:40:25.996", "ingestTimestamp" : "2026-06-15T21:41:34.690", "mongoId" : "6a30503ff292fd229ceedf3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling", "Manage multiple priorities", "Business performance measurement", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 1018.74164, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30578df292fd229cf3b183", "title" : "BI Senior Associate", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior BI Associate in London, adjusted for the media 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" : "2026-06-16T07:20:55.010", "fingerprint" : "26678c24328a4c59b82c5dc6c43a07024aa8ebb15157c259415260c3ff71e939", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5254645008", "externalId" : "5254645008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "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, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical analysis", "Data modelling", "ML modelling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ML modelling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform data analysis, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data scientists; Data engineers; Business analysts", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2260 - BI Senior Associate - UK About Mindshare: A Leading WPP Media Brand Mindshare delivers Good Growth for its clients. As “Growth Architects,\" we drive growth that benefits all stakeholders — better for people, planet, and business — by using media with intention. This approach creates more meaningful connections with consumers, increases consumer trust in the brand, and delivers better outcomes for all stakeholders. Role Summary and Impact You will be joining the BI & Data Management team, a community of BI and data engineering specialists within WPP Media, responsible for transforming marketing data into actionable insights and performance reporting across some of the UK's largest digital media investments. We're looking for a Business Intelligence Senior Associate to assist in the development and automation of data solutions for Mindshare’s clients in the UK, specifically leveraging the Measure data platform, a single data connection, ingestion, transformation reporting system. This is a hands-on role where you will be responsible for helping to deliver various client projects that aggregate diverse data sources into a single, unified view which are delivered in custom visualisations. The marketing industry often grapples with incomplete, inconsistent, and siloed data, with access primarily through APIs and FTPs. It is therefore our responsibility to help clients, both internal and external, who each have their own unique requirements for reporting and analysis. The Measure framework built on a robust technology stack based on Adverity, GCP and PowerBI, ensures we can adapt quickly to differing client needs and provide comprehensive insights. We are seeking a creative and motivated individual to help in the development of cutting-edge dashboards and solutions that are fit for purpose and utilise the latest technologies. Key Responsibilities Contribute to the development of bespoke data solutions within the BI team, ensuring the highest standards in business intelligence and data visualisation delivery. Champion analytics engineering and BI excellence by translating complex data opportunities into clear business value and continuously integrating new trends and technologies to deliver cutting-edge solutions. Collaborate effectively with planning teams to translate business specifications into precise technical requirements for implementation. Ensure data integrity and consistency by developing and executing queries and validating the accuracy and completeness of data. Develop, and maintain robust dashboarding solutions using Power BI, including troubleshooting and optimizing performance. Develop and maintain an expert understanding of digital advertising and ad serving technology (e.g., ad serving, vendor ad servers, web analytics, attribution). Skills and Experience At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Essential Experience working with dashboarding tools (PowerBi preferred) Knowledge of dashboard data modelling best practices Cloud platform knowledge: GCP (preferred), other cloud platform knowledge would be considered Experience using SQL to analyse and transform data Desirable: Experience working with digital marketing and/or web analytics data. Experience with DBT Experiencing working with tools such as: Jira, Confluence Has worked in a technical team that use Agile, Scrum methodologies Experience of DevOps tools: Github/Gitlab Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "BI Senior Associate at WPP Media. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-15T23:27:18.452", "createdAt" : "2026-06-15T23:27:18.452", "lastUpdated" : "2026-06-16T07:20:55.010", "ingestTimestamp" : "2026-06-15T23:27:18.452", "mongoId" : "6a30578df292fd229cf3b183", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data modelling", "ML modelling", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1014.78485, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055f8f292fd229cf23915", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T11:10:30.074", "fingerprint" : "3de3889dc8f3cbc8b3ebd51ed1b945bc3b570b2df4065e8762b67a0b1a1f9c4b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "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", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive presentations" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data analysis, Business intelligence, Data modeling, Data storytelling", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Data modeling", "Data storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain Looker dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain predictive models, Forecast business outcomes, Forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance metrics; Customer behavior analysis", "domainList" : [ "business-performance-metrics", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Business performance metrics", "Customer behavior analysis" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Growth opportunities; Leadership opportunities; Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Analytical rigor", "outcomesObjectives" : "Drive business forward; Make smarter decisions; Make faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data analysis, Business intelligence, Data modeling, Data storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T23:44:59.011", "lastUpdated" : "2026-06-16T11:10:30.074", "ingestTimestamp" : "2026-06-15T23:44:59.011", "mongoId" : "6a3055f8f292fd229cf23915", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data analysis", "Business intelligence", "Data storytelling", "Executive presentations", "Manage multiple priorities", "Business performance metrics", "Customer behavior analysis", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 1008.77893, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a83415", "title" : "Marketing Analytics Manager", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Marketing Analytics Manager in Irvine, United States, adjusted for manager seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1. Cross ‑ Platform Marketing Analytics & Insights · Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. · Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. · Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2. Journey Analytics & Attribution · Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. · Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. · Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. · Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. · Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3. Data & Marketing Technology Enablement · Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. · Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). · Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4. Cross ‑ Functional & Executive Partnership · Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. · Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. · Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. · Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring · Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. · Experience with Salesforce and Adobe technology stacks. · Experience with content marketing, email marketing, and SEO marketing. · Automotive or financial services industries preferred. · Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. · Salesforce or Adobe certification(s) a plus. · MBA a plus. · Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. · SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. · Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Marketing Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T19:48:31.205", "lastUpdated" : "2026-06-16T01:10:37.668", "ingestTimestamp" : "2026-06-14T19:48:31.205", "mongoId" : "69fc49a74c40e2acd1a83415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 996.36694, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. Build modern data warehouses", "postedDate" : "2026-06-15T23:15:28.137", "createdAt" : "2026-06-15T23:15:28.137", "lastUpdated" : "2026-06-16T08:45:12.907", "ingestTimestamp" : "2026-06-15T23:15:28.137", "mongoId" : "6a305107f292fd229cef8636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76194, "salaryAnnualMax" : 122981, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration", "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms", "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization", "Workstream management", "Prioritize tasks", "Delivery timelines", "Data transformation", "Data models", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation", "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "skillCount" : 52, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 988.2526, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f042beec4dd3d933ff0", "title" : "BI Manager, DSP Analytics, WW DSP Analytics", "company" : "ADCI HYD 13 SEZ", "industry" : "Business Intelligence, Business Intel Engineer, Logistics", "salary" : { "min" : 2250000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Logistics in Hyderabad, India, adjusted for company size and industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-14T23:39:14.982", "fingerprint" : "bd7ad219bd50863ff08ce100c885a1a716de8572245e4864169c4484bac3bb43", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382455/apply", "externalId" : "313f70b8-6d4f-459e-89cf-2d0fe9c0a417", "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, R, Python, Weka, SAS, Matlab, Tableau, Quicksight", "professionalSkills" : [ "Data engineering", "Distributed systems", "Cloud technologies", "Data governance", "Metrics definitions", "Data warehousing", "ETL/ELT processes", "Data pipelines", "Data modeling", "BI engineering", "Performance measurement" ], "hardSkillsList" : [ "Business intelligence", "Analytics", "Data visualization", "Statistical analysis", "Machine learning" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Business Intelligence, Data Engineering, Team Leadership", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Team Leadership" ], "coreResponsibilities" : "Build, mentor, and lead BI Engineers, Create and support datasets, metrics, and KPIs, Recruit top talent, Foster a culture of innovation, Foster a culture of collaboration, Foster a culture of professional growth, Provide guidance to team members, Provide feedback to team members, Provide performance evaluations, Drive team members' technical development, Drive team members' career success, Develop team members' technical skills, Partner with Data Engineers, Partner with Product Management Teams, Partner with Software Development Managers, Build relevant data products, Build relevant data solutions, Define data infrastructure, Develop data pipelines, Develop data warehousing, Develop ETL/ELT processes, Drive data governance initiatives, Implement tooling, Implement automation, Measure KPIs, Empower Delivery Associates, Empower DSPs, Stay current with technology trends, Stay current with methodologies, Stay current with tools in AI/Automation, Recommend technologies, Implement technologies, Establish strategic partnerships with business stakeholders, Understand requirements, Translate requirements into technical solutions, Build team's 1-year plan, Build team's 3-year plan, Communicate progress on key initiatives, Own roadmap strategy, Drive roadmap strategy, Define roadmap strategy, Make feature delivery decisions, Manage tradeoffs in data product development, Contribute to engineering strategy decisions, Contribute to technology strategy decisions, Contribute to data product strategy decisions, Oversee development of data products, Develop scorecards, Develop incentive systems, Develop dashboards, Develop visualizations, Develop relevant metrics, Develop defensible metrics, Track business strategy, Enable self-service analytics capabilities, Design data models, Document data models", "teamCollaboration" : "Partner with Data Engineers; Partner with Product Management Teams; Partner with Software Development Managers; Partner with technical teams; Partner with business stakeholders", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definitions" ], "domainKnowledge" : "Last Mile Delivery; DSP Performance", "domainList" : [ "last-mile-delivery", "dsp-performance" ], "domainSpecificKnowledge" : [ "Last Mile Delivery", "DSP Performance" ], "toolProficiency" : [ "Tableau", "Quicksight", "Airflow", "Step Functions" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Deliver best-in-class data products; Deliver best-in-class data solutions; Enable DSP Performance measurement; Enable continuous improvement; Simplify data access; Unlock self-service insights; Improve safety; Improve quality; Improve experience", "qualificationsBasic" : "7+ years BI and analytics experience, 5+ years managing BI/analytics team, Experience with SQL, Experience with ETL, Experience with data visualization, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years large data warehousing experience, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years ETL/ELT experience, 10+ years reporting/analytic tools experience, 10+ years data structures experience, 10+ years hands-on SQL coding, Experience with data orchestration tools, Experience with modern data stack tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about building high-performing data engineering teams that deliver best-in-class data products and solutions? Do you want to make a long-term impact on technology and business strategy? Are you ready to shape the future of small business owners in Last Mile delivery? We are seeking an experienced technical leader to join the Last Mile Delivery Service Partner (DSP) Analytics organization as an Business Intelligence Engineering Manager. In this role, you will lead a team of Engineers (Business Intelligence Engineers and Data Scientists) to build and maintain robust data and reporting that enables DSP Performance measurement and continuous improvement. You will drive the development of scalable data solutions, simplify data access, and unlock self-service insights through automation and best practices. Key job responsibilities Team Leadership & Development Build, mentor, and lead a high-performing team of Business Intelligence Engineers to create and support datasets, metrics, and KPIs aligned with DSP business goals Recruit top talent and foster a culture of innovation, collaboration, and professional growth Provide guidance, feedback, and performance evaluations to team members, driving their technical development and career success Develop team members' technical skills in data engineering, distributed systems, and cloud technologies Technical Strategy & Execution Partner with Data Engineers (DEs), Product Management Teams (PMTs), Software Development Managers (SDMs), and technical teams to build relevant data products and solutions Define and develop data infrastructure, including data pipelines, data warehousing, and ETL/ELT processes Drive data governance initiatives including data integrity, metrics definitions, single source of truth, accountability, and documentation Implement tooling and automation to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve safety, quality, and experience Stay current with technology trends, methodologies, and tools in AI/Automation, recommending, and implementing technologies that enhance capabilities and efficiencies Business Partnership & Strategy Establish strategic partnerships with business stakeholders to understand requirements and translate them into technical solutions Build the team's 1-year plan (1YP) and 3-year plan (3YP) vision and effectively communicate progress on key initiatives Own and drive roadmap strategy and definitions for data engineering deliverables Make feature delivery decisions and manage tradeoffs in data product development Contribute to engineering, technology, and data product strategy decisions at the organizational level Data Products & Analytics Enablement Oversee development of data products including scorecards, incentive systems, dashboards, and visualizations for key metrics and KPIs Partner with DSP Performance program managers to develop relevant and defensible metrics that drive and track business strategy Enable self-service analytics capabilities for business users through well-designed data models and documentation 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 - Experience with data orchestration tools (Airflow, Step Functions, or similar) - Experience with modern data stack tools and practices 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" : "BI Manager, DSP Analytics, WW DSP Analytics at ADCI HYD 13 SEZ. Skills: Business Intelligence, Data Engineering, Team Leadership. Build, mentor, and lead BI Engineers. 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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" : 973.76605, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## 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" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 972.1371, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "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" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 967.16925, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a7bf292fd229c03c918", "title" : "Power BI - Senior Engineer", "company" : "Power BI", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Power BI Engineer in Bengaluru, India, adjusted for industry and seniority." }, "location" : "Bengaluru", "locations" : [ "Bengaluru", "India" ], "timestamp" : "2026-06-16T11:19:35.665", "fingerprint" : "ffd9404aa705fe266f1649b86ad2ae95db9ec10d6dcea7a5b0b4c782292972a3", "source" : "workday", "language" : "en", "applyUrl" : "https://fractal.wd1.myworkdayjobs.com/Careers/job/Bengaluru/Power-BI---Senior-Engineer_SR-38625", "externalId" : "SR-38625", "industryFunction" : { }, "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Power BI, SQL, Excel, MQuery, DAX Studio, Azure, Datafactory, Databricks, Synapse, Power Platform, Powerapps, Power Automate, Dataverse, Power Virtual Agent, Model Driven Apps, Canvas apps", "professionalSkills" : [ "Data analysis", "Business analysis", "Data extraction", "Data transformation", "Data modeling", "Data integration", "Data pipeline creation" ], "hardSkillsList" : [ "DAX", "ETL", "Optimization techniques", "Data modelling schema" ], "hardSkills" : [ { "name" : "DAX", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Optimization techniques", "level" : "intermediate" }, { "name" : "Data modelling schema", "level" : "intermediate" } ], "majorSkills" : "Power BI, Data Visualization, SQL, Data Modeling", "majorSkillsList" : [ "Power BI", "Data Visualization", "SQL", "Data Modeling" ], "coreResponsibilities" : "Design Power BI dashboards, Understand business requirements, Work with offshore team, Align on KPIs, Align on data sources, Design mock-ups, Align on mock-ups, Define visuals, Define key KPIs, Work with IT team, Perform data extraction, Perform data transformation, Create data set, Develop mock-up design, Load dashboard with data, Implement feedback, Create final version, Scale solutions, Maintain solutions, Improve existing solutions, Refresh prototype with live data, Perform data transformations, Make data scalable, Enhance the dashboard, Migrate solutions to production, Modify processes, Ensure correct setup, Enable dashboard refresh, Prepare documentation, Enable knowledge transfer, Enable seamless transition, Support production team, Consult production team", "teamCollaboration" : "Work with offshore team; Work with IT team", "toolProficiency" : [ "Power BI", "SQL", "Excel", "DAX Studio", "Tabular Editor", "Power Platform", "Powerapps", "Power Automate", "Dataverse", "Power Virtual Agent", "Model Driven Apps", "Canvas apps" ], "documentationSkills" : "Prepare documentation", "problemSolvingSkills" : "Problem-solving aptitude", "outcomesObjectives" : "Enhance business intelligence system; Make better decisions", "qualificationsBasic" : "Minimum 6+ years experience in Analytics/Visualizations, Good project work experience using Power BI, SQL proficiency, Excel proficiency, Hands on experience of data manipulation in SQL, Proficient designing and implementing data models, Proficient implementing data integration", "qualificationsPreferred" : "Master's degree preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "It's fun to work in a company where people truly BELIEVE in what they are doing! _We 're committed to bringing passion and customer focus to the business._ **Senior Engineer: Power BI** **Role Overview:** We are looking for a Power Business Intelligence (BI) Developer to create and manage BI and analytics solutions that turn data into knowledge. In this role, you should have a background in data and business analysis. You should be analytical and an excellent communicator. If you also have a business acumen and problem-solving aptitude, we would like to meet you. Ultimately, you will enhance our business intelligence system to help us make better decisions. **Job Description:** * Design and develop Power BI dashboards * Understand the business requirements/ questions to be answered * Work with the offshore team to ensure the quality of deliverables * Align on KPIs and data sources to be used * Design and align on mock-ups * Define visuals and key KPI’s that enables speed to insight * Work with IT team closely to perform data extraction and data transformation processes to create the data set required for the dashboard * Develop the mock-up design in Power BI and load the dashboard with real data * Implement feedback from business users and create final version of the dashboard * Scale, maintain and improve existing solutions * Refresh the prototype with live data * Perform data transformations (if required) to make data in format which can be easily scaled across different geographies/ categories * Implement feedback from business users and further enhance the dashboard * Migrating solutions to production environment * Modify the processes (if required) to ensure they are set-up correctly to enable refresh of dashboard at aligned intervals in the production environment * Prepare holistic documentations (process and technical) to enable proper knowledge transfer of both process and solution to the production team * Enable seamless transition via shadow and reverse shadow process * Support and consult the production team if required. **Qualifications:** * Bachelor's or master's degree in computer science, Information Systems, Data Science, Supply Chain Management, or a related field **Must have skills:** * Minimum 6+ years (Senior Engineer) & 3+ Years (Engineer) of experience in Analytics/Visualizations & good project work experience using Power BI, SQL, Excel. * Strong experience with Power BI - Experienced in all aspects of Power BI, including establishing gateways, use of embedding, DAX, Paginated Reports * Hands-on experience deploying the PBI service to mid-market and/or enterprise scale organizations. * Hands on experience on basic ETL using MQuery, connections to different data sources, DAX Studio, Tabular Editor, Optimization techniques & different data modelling schema. * Hands on experience of data manipulation in SQL * Good visualization experience using Tableau or any other BI tools * Proficient designing and implementing data models and data integration * Hands on experience of data pipeline creation & exposure to Azure & Azure services like Datafactory, Databricks, Synapse, etc * Good exposure to Power Platform tools for design & development i.e. Powerapps, Power Automate, Dataverse, Power Virtual Agent, Model Driven Apps, Canvas apps, etc **Skills** : Advanced Power BI, SQL, DAX Query, Power Query, Dashboarding, Data Modeling, Storytelling, Azure, Power Platform - Power Apps, Power Automate ### ### We are especially interested in candidates who can start Immediately or within the next 30 days. Not the right fit? Set up email alerts as new job postings become available that meet your interest! **#LI-MA1** If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! ### **Hiring Related Queries** India: [_HiringsupportIndia @fractal.ai_](mailto:HiringsupportIndia@fractal.ai) Outside India: [_HiringsupportROW @fractal.ai_](mailto:HiringsupportROW@fractal.ai) This inbox does not process resume submissions. All applications must be made through posted job openings Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!", "summaryDescription" : "Power BI - Senior Engineer at Power BI. Skills: Power BI, Data Visualization, SQL, Data Modeling. Design Power BI dashboards. Understand business requirements", "postedDate" : "2026-06-16T03:52:47.842", "createdAt" : "2026-06-16T03:52:47.826", "lastUpdated" : "2026-06-16T11:19:35.665", "ingestTimestamp" : "2026-06-16T03:52:47.826", "mongoId" : "6a307a7bf292fd229c03c918", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fractal.wd1.myworkdayjobs.com/Careers/job/Bengaluru/Power-BI---Senior-Engineer_SR-38625", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "DAX", "ETL", "Optimization techniques", "Data modelling schema", "Power BI", "Data Visualization", "SQL", "Data Modeling", "Data analysis", "Business analysis", "Data extraction", "Data transformation", "Data modeling", "Data integration", "Data pipeline creation", "Excel", "DAX Studio", "Tabular Editor", "Power Platform", "Powerapps", "Power Automate", "Dataverse", "Power Virtual Agent", "Model Driven Apps", "Canvas apps" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 965.02716, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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" : 943.26154, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 942.87286, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "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" : 933.76575, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30662df292fd229cfaed57", "title" : "Head of Marketing Analytics", "company" : "Zopa", "industry" : "CAO General", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Marketing Analytics in London, UK, with adjustments for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T11:28:19.177", "fingerprint" : "43f1e3a0d70706b7c65f3e1f6a960310d15d571a53915075351643538d7db1a9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/zopa/f37c57aa-9b3c-4bb0-80e5-6cd1be81459b/apply", "externalId" : "f37c57aa-9b3c-4bb0-80e5-6cd1be81459b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "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" : 933.02875, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c7add74d8ee00a09471fe", "title" : "Intermediate Data Analytics", "company" : "AB InBev", "industry" : "Food & Beverage", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics roles in Brazil, adjusted for mid-seniority, the food & beverage industry, and the city tier of Campinas." }, "location" : "Campinas, São Paulo, Brazil", "locations" : [ "Campinas", "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T09:49:44.024", "fingerprint" : "2d47a7e473887ca103d16b45a16c152f654f1acf2b8936fce924b05d0a2c98ee", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/abinbev/jobs/8590377002", "externalId" : "8590377002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Campinas", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-22.9056391,-47.0595640" } ], "locationText" : "Campinas, São Paulo, Brazil", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, DAX, Power BI", "professionalSkills" : [ "Data modeling", "Data visualization", "User-centric design", "Business strategies", "Ad hoc analysis", "Critical thinking" ], "hardSkillsList" : [ "Statistical analysis", "Data storytelling" ], "softSkillsList" : [ "Storytelling", "Resilient", "Strategic thinking" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data storytelling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Resilient" }, { "name" : "Strategic thinking" } ], "majorSkills" : "Data Analytics, Business Intelligence, Power BI, SQL", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Power BI", "SQL" ], "coreResponsibilities" : "Design BI solutions, Model BI solutions, Maintain BI solutions, Query large datasets, Clean large datasets, Analyze large datasets, Transform findings into narratives, Apply data visualization best practices, Apply user-centric design, Deliver actionable dashboards, Deliver actionable reports, Collaborate with international teams, Partner with stakeholders, Deliver insights, Solve business challenges, Solve data challenges, Identify trends, Identify root causes, Identify opportunities", "teamCollaboration" : "International teams; Cross-functional stakeholders; Cross-functional teams", "domainKnowledge" : "BEES Personalization", "domainList" : [ "bees-personalization" ], "domainSpecificKnowledge" : [ "BEES Personalization" ], "toolProficiency" : [ "Power BI", "SQL" ], "communicationSkills" : "English communication; Explain complex concepts", "problemSolvingSkills" : "Root cause analysis; Data exploration", "outcomesObjectives" : "Drive business decision-making; Support informed decision-making", "qualificationsBasic" : "BAS/MS in Math, BAS/MS in Economics, BAS/MS in Statistics, BAS/MS in Engineering, BAS/MS in Computer Science, Advanced knowledge of Power BI, Advanced expertise in SQL, Intermediate English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "rawDescription" : "About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you'll do: Design, model, and maintain end-to-end BI solutions in Power BI, including data modeling, DAX calculations, report building, and interactive dashboards that drive business decision-making. Use SQL to query, clean, and analyze large datasets, ensuring accuracy and reliability of the data used in reporting. Transform analytical findings into compelling narratives that connect data insights with business strategies for both technical and non-technical stakeholders. Apply best practices in data visualization and user-centric design to deliver impactful, intuitive, and actionable dashboards and reports. Collaborate with international teams as part of a global project, leveraging advanced English communication skills to ensure alignment, standardization, and knowledge sharing across regions. Partner with cross-functional stakeholders to deliver high-quality, actionable insights under tight deadlines with a proactive and solution-oriented mindset. Solve complex business and data challenges through ad hoc analysis, identifying trends, root causes, and opportunities by combining data exploration, critical thinking, and business context to support informed decision-making. What you'll need: BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other related quantitative field. Advanced knowledge of Power BI (data modeling, DAX, report building, and dashboard design). Advanced expertise in SQL for querying and data preparation. Intermediate English (spoken and written) to effectively communicate insights with international stakeholders. Knowledge of statistics and statistical analysis techniques. Strong skills in data storytelling: ability to craft clear narratives that connect data insights to business strategy, ensuring stakeholders easily understand and act on the information. Understanding of data visualization best practices, design principles, and user-centric dashboards. Ability to translate complex datasets into insightful, visually compelling, and actionable reports. Organized and detail-oriented, capable of delivering under tight timelines while ensuring quality. Proactive, solution-oriented mindset with strong collaboration skills to work across cross-functional teams. More about you: Communication skills, with the ability to explain complex concepts clearly to both technical and non-technical audiences. Storytelling mindset, connecting data insights to business impact compellingly. Collaborative approach, working effectively with cross-functional and international teams while building trust and alignment. Detail-oriented, ensuring accuracy, reliability, and high-quality standards in all deliverables. Adaptable and resilient, comfortable managing tight deadlines and shifting priorities. Strategic thinking, always connecting insights to business outcomes and long-term goals. What We Offer: Performance-based bonus* Attendance Bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.com", "summaryDescription" : "Intermediate Data Analytics at AB InBev. Skills: Data Analytics, Business Intelligence, Power BI, SQL. Design BI solutions. Model BI solutions", "postedDate" : "2026-06-13T22:22:35.444", "createdAt" : "2026-06-13T22:22:35.444", "lastUpdated" : "2026-06-15T09:49:44.024", "ingestTimestamp" : "2026-06-13T22:22:35.444", "mongoId" : "6a2c7add74d8ee00a09471fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data storytelling", "Storytelling", "Resilient", "Strategic thinking", "Data Analytics", "Business Intelligence", "Power BI", "SQL", "Data modeling", "Data visualization", "User-centric design", "Business strategies", "Ad hoc analysis", "Critical thinking", "BEES Personalization" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 932.6137, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.98 }, { "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. Uphold standard for data-driven decision-making", "createdAt" : "2026-06-14T18:18:50.138", "lastUpdated" : "2026-06-15T21:50:22.493", "ingestTimestamp" : "2026-06-14T18:32:22.631", "mongoId" : "6a2cb00c74d8ee00a09d8a24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Data visualization", "Leadership", "Mentoring", "Marketing analytics", "Team building", "Data-driven decision making", "Data analysis", "Business decisions", "Stakeholder management", "Agile", "Marketing fundamentals", "Marketing attribution concepts", "Tableau" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 929.86194, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca42974d8ee00a09b06c1", "title" : "Senior Data / Analytics Engineer", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:08:33.890", "fingerprint" : "c7d74f7b3f5b9e144d0e12e1191ebf69a4b087a5101032152837ca84c9251e4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4249713009", "externalId" : "4249713009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "workMode" : "remote" } ], "locationText" : "New York, New York, United States", "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, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Statistical modeling" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "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 data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay updated with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with specific ML frameworks, Experience with cloud platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Location: NYC preferred or Remote | Full-time Experience: 5-8+ years in analytics engineering, modern data stack architecture, or data platform engineering Compensation: $150,000 DOE + bonus About Us Metro Vein Centers is a rapidly expanding healthcare organization with 70+ clinics across 8 states. We are a highly data-driven business operating at the intersection of healthcare, performance marketing, operations, and technology. As the organization has scaled rapidly, so has the complexity of our data ecosystem. We are now entering the next phase of maturity: building a scalable, governed, AI-ready data foundation that can support the future growth of the business. We are looking for a Senior Analytics Engineer to help lead that evolution. About the Role This is a foundational role within the Tech & Data organization, reporting directly to the Director of Tech & Data. You will help modernize and scale our data architecture across marketing, operations, finance, sales, and clinical systems while maintaining continuity for existing reporting, analytics, and business operations. This role is ideal for someone who thrives in high-growth environments and enjoys bringing structure, reliability, governance, and scalability to complex and evolving data ecosystems. You will play a central role in rebuilding and organizing our data foundation, establishing standards and architecture patterns, improving transformation and modeling practices, and helping create a modern healthcare data platform designed for long-term scale and AI-enabled workflows. This is not a pure backend engineering role. We are looking for someone who combines strong analytics engineering and warehouse architecture experience with practical business judgment and modern data stack expertise. What You’ll Own Data Architecture & Modernization Help design and implement a scalable modern data architecture within Google BigQuery Rebuild and organize fragmented data structures into standardized, maintainable models Establish naming conventions, modeling standards, lineage, and governance frameworks Help separate and structure sensitive vs non-sensitive data appropriately in a HIPAA-conscious environment Partner with leadership to define long-term warehouse and transformation architecture strategy Improve scalability and maintainability without disrupting existing business operations Analytics Engineering & Data Modeling Own and expand our dbt transformation layer and modeling practices Build clean, scalable transformation pipelines and business logic layers Create reliable curated datasets for analytics, reporting, operational workflows, and AI initiatives Standardize KPI logic and reduce duplicated transformation logic across systems Develop testing, QA, and documentation standards for data models and pipelines Improve data quality, observability, and reliability across the warehouse Data Pipelines & Platform Operations Build, maintain, and optimize ingestion and transformation pipelines across internal and third-party systems Work across platforms including: Google BigQuery dbt Fivetran Portable Improvado HubSpot Tableau Google Cloud Platform Troubleshoot pipeline failures, schema drift, integration issues, and data discrepancies Improve monitoring, documentation, and operational stability across the data stack AI-Ready Data Infrastructure Help build structured, reliable, AI-ready datasets and systems Partner with Tech & Data leadership on long-term AI infrastructure readiness Support future AI-enabled workflows, automation initiatives, and operational tooling Contribute to scalable data design practices that support evolving AI use cases across the business Cross-Functional Collaboration Partner closely with analysts, marketing, operations, finance, and technology stakeholders Support analysts by improving foundational data models and reducing engineering burden on analytics resources Collaborate with IT and leadership on governance, access, and long-term platform maturity Participate in architectural planning and technical roadmap discussions What You Bring Required Experience 5-8+ years in analytics engineering, data engineering, or modern data stack environments Strong expertise in SQL and warehouse-based data transformation workflows Hands-on experience with dbt and modern ETL workflows Deep experience working within Google BigQuery or comparable cloud data warehouses Proficiency with SFTP-based file transfer workflows, including key-based authentication, scheduled transfers, and error handling Experience designing scalable data models and transformation layers Experience working with complex operational and business systems data Strong understanding of data governance, documentation, testing, and QA practices Experience building and maintaining production-grade data pipelines Strong systems thinking and architectural judgment Ability to balance long-term architecture improvements with short-term operational stability Preferred Experience Experience with: Fivetran Portable Improvado Tableau HubSpot Google Cloud Platform Experience in healthcare or HIPAA-conscious environments Experience supporting marketing, operational, or revenue-focused analytics ecosystems Familiarity with AI-enabled data workflows and AI-ready platform design Experience helping mature or rebuild fragmented data environments Familiarity with Jira and collaborative technical project management workflows What Success Looks Like Within 12 months, this person will have helped: Establish scalable architecture and modeling standards across the warehouse Mature and expand the dbt transformation layer Improve documentation, lineage, governance, and data reliability Organize fragmented datasets into scalable, maintainable structures Improve separation and governance of sensitive vs non-sensitive data Reduce operational friction and engineering burden across the analytics ecosystem Build a more scalable and AI-ready data foundation for the future growth of the organization What We Offer Competitive compensation and bonus structure High ownership and autonomy Opportunity to help shape the long-term data architecture of a rapidly scaling organization Smart, collaborative, highly driven teammates Direct impact on operational performance, growth, and patient experience Opportunity to help build the next generation of healthcare data infrastructure and AI enablement at scale Benefits to Support Your Wellbeing & Lifestyle Full-time team members at Metro Vein Centers are eligible for: Medical, Dental, and Vision Insurance 401(k) Paid Time Off (PTO) + Paid Company Holidays Company-Paid Life Insurance Short-Term Disability Insurance Employee Assistance Program (EAP) Career Growth & Development Opportunities Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $150,000—$150,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Senior Data / Analytics Engineer at Metro Vein Centers. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:23.010", "createdAt" : "2026-06-14T19:16:23.010", "lastUpdated" : "2026-06-16T00:08:33.890", "ingestTimestamp" : "2026-06-14T19:16:23.010", "mongoId" : "6a2ca42974d8ee00a09b06c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Data science", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 929.4199, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad615", "title" : "Data Analytics Manager", "company" : "Hasbro", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:13:43.590", "fingerprint" : "259771a41afffa415d14f4530898ec10a1175559576952377e5c4e411be76c58", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249885009", "externalId" : "4249885009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "R, Python, SQL", "professionalSkills" : [ "Knowledge of and familiarity with games such as Magic: The Gathering." ], "hardSkillsList" : [ "R", "Python", "SQL" ], "softSkillsList" : [ "Self-directed, attention to detail" ], "hardSkills" : [ { "name" : "R", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed, attention to detail" } ], "majorSkills" : "Data Analysis, Team Leadership, SQL, R, Python", "majorSkillsList" : [ "Data Analysis, Team Leadership, SQL, R, Python" ], "coreResponsibilities" : "Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Data Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.", "summaryDescription" : "Senior Data Engineer, Analytics at Apptegy", "postedDate" : "2026-06-14T19:09:39.312", "createdAt" : "2026-06-14T19:09:39.312", "lastUpdated" : "2026-06-16T01:07:32.467", "ingestTimestamp" : "2026-06-14T19:09:39.312", "mongoId" : "6a2c7a9f74d8ee00a09461bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 921.63556, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28ed", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T08:03:57.276", "fingerprint" : "a1cd15acce936a285a1c0c7b67c3eaedb08046b35a48188d2a2bfb115c5ac737", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/f5b49cbf-fee1-4f56-b35d-2d76897383f0/application", "externalId" : "f5b49cbf-fee1-4f56-b35d-2d76897383f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Data structuring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles problem solving; Analytical problem solving", "outcomesObjectives" : "Grow from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:26:30.239", "lastUpdated" : "2026-06-16T08:03:57.276", "ingestTimestamp" : "2026-06-16T00:26:30.239", "mongoId" : "6a305098f292fd229cef28ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Data structuring", "BizOps", "Analytics", "Data insights", "First principles thinking", "Problem solving", "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 921.58606, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2a", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T10:34:33.079", "fingerprint" : "f59c3721e117ce6b8b52c4b73b920c7af7088905fe799a2905a60679bda4fa3d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/2455d942-1f05-46d6-811a-bb703e0cf22e/application", "externalId" : "2455d942-1f05-46d6-811a-bb703e0cf22e", "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" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell counterparts what is happening, Tell counterparts why it is happening, Tell counterparts next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Driving insights; Diagnostics; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "insurance", "driving-insights", "diagnostics", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication; Leadership presentations", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Analytical problem solving", "outcomesObjectives" : "Move team's key metrics; Drive business impact; Grow to 50M customers; Become $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:11.598", "lastUpdated" : "2026-06-16T10:34:33.079", "ingestTimestamp" : "2026-06-16T00:28:11.598", "mongoId" : "6a305930f292fd229cf45a2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Data insights", "Decision making", "First principles thinking", "Data analysis", "Problem solving", "Analytical insights", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 917.1499, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6931903370f0b99d58087a0f", "title" : "Senior BI Engineer, Healthcare, Finance Operations, Global Data Analytics", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Business Intel Engineer, finance", "salary" : { "min" : 89600.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T03:25:16.281", "fingerprint" : "8335a23940ed41a956c898663064d35bd13162c2bd5cfacb87bdfc7669e204a3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136946/apply", "externalId" : "3657b6ee-50dd-41ac-b7ba-26ccabf62f06", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, ETL, Oracle, Python, Tableau, Quicksight, AWS, EC2, DynamoDB, S3, Redshift", "professionalSkills" : [ "Data visualization", "Data pipelines", "Analytics solutions", "Automation solutions", "Business processes", "Data modeling", "ETL pipelines", "BI solutions", "Statistical analysis", "Predictive modeling", "Self-service analytics", "Analytics automation" ], "hardSkillsList" : [ "Data modeling", "ETL pipelines", "Statistical analysis", "Predictive modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics" ], "coreResponsibilities" : "Support business objectives, Collaborate with business leaders, Optimize business processes, Provide reporting, Design data pipelines, Implement data pipelines, Build analytics solutions, Collaborate with technology teams, Define BI solutions, Deliver BI solutions, Build reports, Build dashboards, Use advanced analytics techniques, Implement AI tools, Identify automation opportunities, Evaluate automation opportunities, Implement automation opportunities, Enhance analytics, Reduce manual effort, Represent BI function, Provide recommendations", "teamCollaboration" : "Cross-functionally with technology teams; Business reviews", "domainKnowledge" : "Healthcare Finance Operations; Accounts Receivable; Accounts Payable; Transactional processes", "domainList" : [ "healthcare-finance-operations", "accounts-receivable", "accounts-payable", "transactional-processes" ], "domainSpecificKnowledge" : [ "Healthcare Finance Operations", "Accounts Receivable", "Accounts Payable", "Transactional processes" ], "toolProficiency" : [ "Tableau", "Quicksight", "Oracle", "Python" ], "communicationSkills" : "Data-driven recommendations", "innovationCreativity" : "Automation solutions; AI-powered analytics", "problemSolvingSkills" : "Analytical insights; Uncover patterns; Identify trends; Identify opportunities", "outcomesObjectives" : "Empower AR/AP departments; Deliver actionable insights; Improve business outcomes", "qualificationsBasic" : "5+ years SQL, 5+ years ETL, 5+ years Oracle experience, 3+ years processing large datasets, 1+ years automated reporting, Experience data visualization, Experience data modeling, Experience building ETL pipelines, Experience using SQL, Scripting experience Python", "qualificationsPreferred" : "AWS solutions experience, Data mining experience, Experience using databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join one of Amazon's most impactful analytics organizations, empowering the world's largest Accounts Receivable and Payable departments through advanced data capabilities and real-time, actionable insights. Our Global Data Analytics (GDA) team is the trusted analytics partner for Finance Operations, providing data-driven solutions across global service centers and functions. We are custodians of data and metrics definitions, applying scientific methods to large-scale transactional processes. We're seeking an exceptional Senior Business Intelligence Engineer for our FinOps Healthcare Data and Analytics team. You'll deliver engineering excellence in data visualization, develop pipelines and build analytics solutions. You’ll identify, design and create automation solutions, using artificial intelligence (inter alia). As a key member of a global team of analytics professionals, you'll be a major contributor to business and process outcomes in the area of Healthcare Finance Operations. Key job responsibilities - Support the organization's strategic business objectives, process outcomes and decisions by analytical insights - Collaborate with business leaders and users to optimize data-driven business processes - Provide reliable, accurate, timely reporting for operations activities and leadership decision making - Design and implement complex, scalable, and high-performance data pipelines and models - Collaborate cross-functionally with technology teams, such as data engineers and data scientists, to define and deliver BI solutions - Build reports and dashboards using Amazon QuickSight - Use advanced analytics techniques, such as statistical analysis and predictive modeling, to uncover hidden patterns, trends and opportunities - Implement AI-powered self-service analytics tools - Identify, evaluate, and implement automation opportunities, incl. AI technology; continuously enhance analytics while reducing manual effort - Represent the BI function in business reviews and provide data-driven recommendations to business and process leaders About the team Global Accounts Payable and Global Accounts Receivable are in charge of all AP and AR processes across Amazon's businesses and geographies. Global Data Analytics (GDA) provide data, analytics and insights to AR and AP. Our mission: \"As trusted and business-focused analytics partners, we provide timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes and use automation to improve efficiency.\" Basic Qualifications: - 5+ years of SQL, ETL or Oracle experience - 3+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of developing automated reporting experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior BI Engineer, Healthcare, Finance Operations, Global Data Analytics at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Analytics. Support business objectives. Collaborate with business leaders", "postedDate" : "2026-06-13T06:34:37.672", "createdAt" : "2026-06-13T06:34:37.672", "lastUpdated" : "2026-06-15T03:25:16.281", "ingestTimestamp" : "2026-06-13T06:34:37.672", "mongoId" : "6931903370f0b99d58087a0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136946/apply", "salaryAnnualMin" : 89600, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "ETL pipelines", "Statistical analysis", "Predictive modeling", "Business Intelligence", "Data Engineering", "Analytics", "Data visualization", "Data pipelines", "Analytics solutions", "Automation solutions", "Business processes", "BI solutions", "Self-service analytics", "Analytics automation", "Healthcare Finance Operations", "Accounts Receivable", "Accounts Payable", "Transactional processes", "Tableau", "Quicksight", "Oracle", "Python" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 913.36383, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2ca53574d8ee00a09b5361", "title" : "Senior / Product Manager, Data Analytics (SC)", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Singapore, adjusted for the government industry and GovTech's size." }, "location" : "SC Singapore Customs", "locations" : [ "SC Singapore Customs" ], "timestamp" : "2026-06-16T05:08:43.229", "fingerprint" : "5a0beac348aff143992e7089dc3c99cafcb4ccef61799bebea78af25f25efb7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4001679201?gh_jid=4001679201", "externalId" : "4001679201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Focus on product strategy, Develop product roadmap, Define user stories, Collaborate cross-functionally", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Product management" ], "rawDescription" : "GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Learn more about GovTech at tech.gov.sg. A product manager to manage an analytics and AI system for Singapore Customs. Job Summary As a Product Manager at GovTech, you will play a pivotal role in transforming government services through data-driven insights. You will bridge the gap between business needs and technical solutions, leveraging data analytics to identify opportunities for improvement, optimize processes, and enhance decision-making across various government initiatives. Job Responsibilities Collaborate with various government agencies and stakeholders to understand their business processes, challenges, and data requirements. Translate complex business problems into clear, actionable data analytics requirements and user stories. Perform in-depth data analysis using various analytical tools and techniques to identify trends, patterns, and insights from large datasets. Develop and implement data visualization dashboards and reports to communicate key findings and recommendations to both technical and non-technical audiences. Evaluate the effectiveness of digital services and initiatives using data-driven metrics and provide recommendations for optimization. Work closely with data engineers, data scientists, and developers to ensure the successful implementation of data solutions. Conduct stakeholder interviews, workshops, and user acceptance testing (UAT) to validate solutions and ensure they meet business needs. Stay abreast of industry best practices in data analytics, business intelligence, and digital government. Contribute to the continuous improvement of GovTech's data analytics capabilities and frameworks. Job Qualifications Bachelor's degree in Information Systems, Computer Science, Business Analytics, Statistics, Economics, or a related quantitative field. Minimum of 3 years of experience as a Product Manager, with a strong focus on data analytics projects. Proficiency in data manipulation and analysis tools (e.g., SQL, Python, R). Experience with data visualization tools (e.g., Tableau, Power BI, QlikView). Strong understanding of data warehousing concepts, ETL processes, and data modeling. Excellent analytical, problem-solving, and critical thinking skills. Ability to effectively communicate complex technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively in a fast-paced environment. Experience in the public sector or with government digital services projects is a plus. Familiarity with agile methodologies is advantageous. As a product manager, you will also have to plan and manage product budget, schedule, backlogs, vendors and stakeholders. The job scope include Overall incharge of the product development writing paper for funding drafting contracts document, calling tender when required and conducting tender evaluation with a group of appointed working group overall incharge of managing security implementation and ensuring governance in compliance with the government and the agency's security policies and guidelines. overall incharge of any audits conducted on the product that include the ICT implementation and security controls, funding and procurement aspect. organising meetings manage contracts and cntractors scan market for latest technology to scale the product liaise with product vendors/ principals including inviting suitable product vendors to demonstrate and present their product to product owners and stakeholders, plan adoption of the product after obtaining endorsement from stakeholders work with a team of data engineers, software engineer and sdata analysts to ensure product implementation and scaling manage budget and schedule to meet the target We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*. We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round. Subject to the nature of your job role that might require you to be onsite during fixed hours.", "summaryDescription" : "Senior / Product Manager, Data Analytics (SC) at GovTech. Skills: Product strategy, Roadmap, User stories. Focus on product strategy. Develop product roadmap", "postedDate" : "2026-06-14T18:37:01.807", "createdAt" : "2026-06-14T18:37:01.807", "lastUpdated" : "2026-06-16T05:08:43.229", "ingestTimestamp" : "2026-06-14T18:37:01.807", "mongoId" : "6a2ca53574d8ee00a09b5361", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Product management" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 911.6785, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309f59f292fd229c10930e", "title" : "Senior Power BI Specialist", "company" : "Talan", "industry" : "Information Technology And Services", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Power BI Specialist in Málaga, Spain, adjusted for seniority and consulting industry." }, "location" : "Málaga, AN, Spain", "locations" : [ "Málaga", "AN", "Spain" ], "timestamp" : "2026-06-16T13:56:08.072", "fingerprint" : "2d39f143074eed9f943bf234c4b84bf5211833061670a27d889db5992236da9a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Talan/744000132147705-senior-power-bi-specialist", "externalId" : "744000132147705", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Málaga", "state" : "Andalusia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "36.7647913,-4.4422005" } ], "locationText" : "Málaga, Andalusia, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Power BI, SQL", "professionalSkills" : [ "Data modeling", "Data analysis" ], "hardSkillsList" : [ "Data extraction", "Data loading", "Data analysis", "Data transformation", "Data export" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data loading", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data export", "level" : "intermediate" } ], "majorSkills" : "Power BI, Data modeling, Business intelligence", "majorSkillsList" : [ "Power BI", "Data modeling", "Business intelligence" ], "coreResponsibilities" : "Lead BI project development, Execute BI projects, Transform corporate data, Generate business insights, Oversee data ingestion, Oversee data modeling, Oversee reporting, Oversee data distribution, Ensure stakeholder data access", "projectManagementSkills" : [ "Agile", "Scrum", "Product Ownership" ], "domainKnowledge" : "Data integration; Data science; Visualization; Big Data; AI; Generative AI; Cloud computing; SAP; Salesforce; Oracle; Microsoft; AWS; Supply Chain; Cybersecurity; ESG; Low-Carbon strategies; Transport & Logistics; Financial Services; Energy & Utilities; Retail; Media & Telecommunications", "domainList" : [ "data-integration", "data-science", "visualization", "big-data", "ai", "generative-ai", "cloud-computing", "sap", "salesforce", "oracle", "microsoft", "aws", "supply-chain", "cybersecurity", "esg", "low-carbon-strategies", "transport-logistics", "financial-services", "energy-utilities", "retail", "media-telecommunications" ], "domainSpecificKnowledge" : [ "Data integration", "Data science", "Visualization", "Big Data", "AI", "Generative AI", "Cloud computing", "SAP", "Salesforce", "Oracle", "Microsoft", "AWS", "Supply Chain", "Cybersecurity", "ESG", "Low-Carbon strategies", "Transport & Logistics", "Financial Services", "Energy & Utilities", "Retail", "Media & Telecommunications" ], "toolProficiency" : [ "Power BI", "Excel" ], "qualificationsBasic" : "Advanced Power BI knowledge, Proven Power BI experience, Design data models, Build efficient data models, Extract data into BI, Load data into BI, Analyze data, Exploit data, Transform data into insights, Export data to Excel, Export reports to Excel, C1 English level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Talan – Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year. Our Core Areas of Expertise * Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. * Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. * Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications. We are seeking a highly skilled and proactive Power B IExpert to lead the development, design, and end-to-end execution of our BI projects. In this role, you will be responsible for transforming raw corporate data into actionable business insights. You will oversee the entire data lifecycle—from ingestion and modeling to reporting and distribution—ensuring our stakeholders have the data required to make strategic decisions. ## Qualifications * Power BI: Advanced knowledge and proven experience using Power BI as the primary tool. * Data Modeling: Ability to design and build efficient data models. * Data Loading: Experience in extracting and loading data into the BI environment. * Data Exploitation: Ability to analyze, exploit, and transform information into insights. * Data Exportation: Competency in exporting data and reports seamlessly to Excel. * Language Proficiency: Minimum C1 English level ## Additional Information * Work Location: 100% Remote. * Working Hours: Ability to work full-time within the Spain time zone (CET/CEST)", "summaryDescription" : "Senior Power BI Specialist at Talan. Skills: Power BI, Data modeling, Business intelligence. Lead BI project development. 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Troubleshooting", "qualificationsBasic" : "Advanced Power BI knowledge, Proven Power BI experience, Design data models, Build efficient data models, Extract data into BI, Load data into BI, Analyze data, Exploit data, Transform data into insights, Export data to Excel, Export reports to Excel, C1 English level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Talan – Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year. Our Core Areas of Expertise * Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. * Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. * Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications. We are seeking a highly skilled and proactive Power B IExpert to lead the development, design, and end-to-end execution of our BI projects. In this role, you will be responsible for transforming raw corporate data into actionable business insights. You will oversee the entire data lifecycle—from ingestion and modeling to reporting and distribution—ensuring our stakeholders have the data required to make strategic decisions. ## Qualifications * Power BI: Advanced knowledge and proven experience using Power BI as the primary tool. * Data Modeling: Ability to design and build efficient data models. * Data Loading: Experience in extracting and loading data into the BI environment. * Data Exploitation: Ability to analyze, exploit, and transform information into insights. * Data Exportation: Competency in exporting data and reports seamlessly to Excel. * Language Proficiency: Minimum C1 English level ## Additional Information * Work Location: 100% Remote. * Working Hours: Ability to work full-time within the Spain time zone (CET/CEST)", "summaryDescription" : "Senior Power BI Specialist at Talan. Skills: Power BI, Data modeling, Business intelligence. Lead BI project development. Execute BI projects", "postedDate" : "2026-06-15T08:59:56.000", "createdAt" : "2026-06-16T00:15:59.407", "lastUpdated" : "2026-06-16T09:21:48.413", "ingestTimestamp" : "2026-06-16T00:15:59.407", "mongoId" : "6a305f20f292fd229cf78f03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data loading", "Data analysis", "Data transformation", "Data export", "Power BI", "Data modeling", "Business intelligence", "Agile", "Scrum", "Product Ownership", "Data integration", "Data science", "Visualization", "Big Data", "AI", "Generative AI", "Cloud computing", "SAP", "Salesforce", "Oracle", "Microsoft", "AWS", "Supply Chain", "Cybersecurity", "ESG", "Low-Carbon strategies", "Transport & Logistics", "Financial Services", "Energy & Utilities", "Retail", "Media & Telecommunications", "Excel" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 903.2636, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2e97ed74d8ee00a0e1b119", "title" : "IT Data Leaders: 15-Minute Survey On Analytics Platforms", "company" : "Terac", "industry" : "Participant Recruitment", "salary" : { "min" : 200.0, "max" : 200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T00:44:09.156", "fingerprint" : "9f66da3e727e738c8b814c830c0ebee4568b1fd274209ab27f5c0d1a83dfeadf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/terac/9c3d0698-691c-4393-8065-c1515ee806b5/application", "externalId" : "9c3d0698-691c-4393-8065-c1515ee806b5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Snowflake, Databricks, BigQuery, Power BI", "hardSkillsList" : [ "Data architecture", "Analytics platforms", "Cloud data warehousing", "Business intelligence adoption" ], "hardSkills" : [ { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Analytics platforms", "level" : "intermediate" }, { "name" : "Cloud data warehousing", "level" : "intermediate" }, { "name" : "Business intelligence adoption", "level" : "intermediate" } ], "majorSkills" : "Data architecture, Analytics platforms", "majorSkillsList" : [ "Data architecture", "Analytics platforms" ], "coreResponsibilities" : "Complete a 15-minute structured survey, Detail experience evaluating data platforms, Provide feedback on analytics tools, Record brief video responses", "domainKnowledge" : "Cloud data warehousing; Enterprise analytics platforms", "domainList" : [ "cloud-data-warehousing", "enterprise-analytics-platforms" ], "domainSpecificKnowledge" : [ "Cloud data warehousing", "Enterprise analytics platforms" ], "toolProficiency" : [ "Snowflake", "Databricks", "BigQuery", "Power BI" ], "specialRequirements" : "Camera access required", "qualificationsBasic" : "Senior practitioner or decision-maker, Hands-on experience with major enterprise cloud data platforms, Comfortable completing a desktop-based survey with camera access", "qualificationsPreferred" : "Camera access during the session", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHAT WE'RE RESEARCHING We're running a paid study evaluating modern data architecture and enterprise analytics platforms. The goal is to capture firsthand perspectives from IT professionals who manage or decide on technical tooling. Your input will help us map current trends in cloud data warehousing and business intelligence adoption. HOW IT WORKS You will complete a 15-minute remote survey from your desktop computer. The session will ask about your experience evaluating, implementing, and managing major data platforms in an enterprise environment. We request camera access during the session to verify participation and capture any brief video responses. You will navigate through a series of structured questions detailing your technical workflow and platform preferences. WHO THIS IS FOR We are looking for experienced IT and data practitioners who hold decision-making or senior technical roles. We welcome data architects, analytics directors, lead data engineers, and IT infrastructure managers. You should have direct experience using major cloud platforms like Snowflake, Databricks, BigQuery, or Power BI in your day-to-day operations. WHAT YOU'LL DO - Complete a 15-minute structured survey from your desktop computer - Detail your experience evaluating enterprise data and analytics platforms - Provide specific feedback on the analytics tools you currently use - Record brief video responses using your web camera if prompted WHO SHOULD APPLY - Senior practitioner or decision-maker in the IT or data analytics field - Hands-on experience with major enterprise cloud data platforms - Comfortable completing a desktop-based survey with camera access COMPENSATION $200 one-time READY TO PARTICIPATE? Start your paid interview now https://terac.com/interview/start/r/ed2ec151-8f27-4dbc-a88b-9011ad52ca61?utm_source=ashby_listing_description ABOUT TERAC Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets. Learn more at terac.com https://terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.", "summaryDescription" : "IT Data Leaders: 15-Minute Survey On Analytics Platforms at Terac. Skills: Data architecture, Analytics platforms. Complete a 15-minute structured survey. Detail experience evaluating data platforms", "createdAt" : "2026-06-14T22:09:01.624", "lastUpdated" : "2026-06-16T00:44:09.156", "ingestTimestamp" : "2026-06-14T22:09:01.624", "mongoId" : "6a2e97ed74d8ee00a0e1b119", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 200, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data architecture", "Analytics platforms", "Cloud data warehousing", "Business intelligence adoption", "Enterprise analytics platforms", "Snowflake", "Databricks", "BigQuery", "Power BI" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 900.1849, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0cb74d8ee00a09db152", "title" : "Senior Marketing Data Analyst", "company" : "Surfshark", "industry" : "Surfshark", "salary" : { "min" : 4000.0, "max" : 5900.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius, Lithuania", "locations" : [ "Vilnius, Lithuania", "Kaunas, Lithuania", "Warsaw, Poland" ], "timestamp" : "2026-06-15T07:24:55.598", "fingerprint" : "ba4c7e7d416d2bddaae00a426a1521d8d626e38db95ab01761dcb1cb53389460", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/surfshark/3876db4a-8a78-4cf4-9502-aa5ee33853a4/application", "externalId" : "3876db4a-8a78-4cf4-9502-aa5ee33853a4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Dbt, Git", "professionalSkills" : [ "Business acumen", "Analytical solutions", "Data models", "Data visualizations", "Data literacy" ], "hardSkillsList" : [ "SQL query writing", "Data modeling", "Data analysis", "Problem solving" ], "hardSkills" : [ { "name" : "SQL query writing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling, SQL", "majorSkillsList" : [ "Data analysis", "Data modeling", "SQL" ], "coreResponsibilities" : "Act as analytical partner, Build analytics solutions, Empower marketing stakeholders, Design data models, Design reporting layers, Ensure reliable data, Challenge assumptions, Uncover opportunities, Drive continuous improvement, Translate data, Create actionable visualizations, Ensure data products align, Advocate for data literacy, Help others self-serve", "teamCollaboration" : "Marketing stakeholders; Other teams", "domainKnowledge" : "Marketing analytics", "domainList" : [ "marketing-analytics" ], "domainSpecificKnowledge" : [ "Marketing analytics" ], "toolProficiency" : [ "Dbt", "Looker", "Tableau", "Git" ], "communicationSkills" : "Actionable visualizations; Clear communication", "continuousLearning" : "Learning opportunities; Online learning platforms; Books for professional growth", "innovationCreativity" : "Push boundaries", "problemSolvingSkills" : "Problem-solving; Analytical workstreams", "outcomesObjectives" : "Make smarter decisions; Make faster decisions; Ensure reliable data products", "qualificationsBasic" : "Proven analytical experience, Advanced SQL proficiency, Modern analytics stacks experience, Business acumen, Problem-solving skills, Communication skills, Structured analytical workstreams", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Want to lead a culture of data-driven decision-making? Love turning data into meaningful, actionable insights? If so, we want you on our Data team at Surfshark! This team comprises experts who specialize in collecting, analyzing, and interpreting large amounts of data. The Data team also takes pride in creating robust ETLs and dashboards that allow other teams to monitor, plan, and achieve their goals effectively. As a Data Analyst, you will play a crucial role in building a self-service-enabled reporting layer, helping businesses extract insights and knowledge from vast amounts of data. If this sounds interesting, read along! IF YOU WANT TO: - Act as an analytical partner by building robust, end-to-end analytics solutions that empower marketing stakeholders to make smarter, faster decisions; - Design clean, scalable data models and reporting layers to ensure reliable reporting; - Push the boundaries of how data is used by challenging assumptions, uncovering opportunities, and driving continuous improvement; - Translate complex data into clear, actionable visualizations and narratives; - Ensure that data products (dashboards, models) align with current principles, guidelines, and standards; - Advocate for data literacy and enablement, helping others self-serve and interpret data confidently. AND YOU CAN CHECK OFF: - Proven experience in an analytical role; - Advanced proficiency in SQL, with the ability to write performant and complex queries. - Experience with modern analytics stacks and workflows (e.g., dbt, Looker/Tableau, Git); - Strong business acumen, with the ability to challenge vague requests, clarify impact, and guide stakeholders toward meaningful, data-driven decisions; - Excellent problem-solving and communication skills, with the ability to manage end-to-end projects; - Proven ability to turn messy, ambiguous product or business problems into structured analytical workstreams with clear outcomes. HERE’S THE DEAL: - Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development; - Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts and a physical coach to health insurance and regular mental health checks; - Tools of your choice: choose the technical equipment and tools you need to do your best work; - Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations; - Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world; - More days off: additional vacation days depending on your tenure; - Premium Surfshark accounts: for you, your family, and friends; - Gross salary: 4000 - 5900 Eur/month for the Lithuanian market, 19600 - 25000 Pln/month for the Polish market. It may vary depending on your skills and experience.", "summaryDescription" : "Senior Marketing Data Analyst at Surfshark. Skills: Data analysis, Data modeling, SQL. Act as analytical partner. Build analytics solutions", "createdAt" : "2026-06-13T23:20:32.160", "lastUpdated" : "2026-06-15T07:24:55.598", "ingestTimestamp" : "2026-06-13T23:20:32.160", "mongoId" : "6a2cb0cb74d8ee00a09db152", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "SQL query writing", "Data modeling", "Data analysis", "Problem solving", "SQL", "Business acumen", "Analytical solutions", "Data models", "Data visualizations", "Data literacy", "Marketing analytics", "Dbt", "Looker", "Tableau", "Git" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 895.0021, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : 888.4555, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb21074d8ee00a09dfc5c", "title" : "Senior Manager, Marketing Analytics & Operations", "industry" : "Marketing", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Senior Manager seniority in Financial Services, with a remote work adjustment." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T22:08:36.000", "fingerprint" : "93d7dd824d7c79a341c5879ec96a24d3c4fe1586fc45d312b173a481061d0e1f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/8f3eae42-988c-44d3-be92-5cb32ade9a18/apply", "externalId" : "8f3eae42-988c-44d3-be92-5cb32ade9a18", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Dbt, Python", "professionalSkills" : [ "Performance measurement", "Business intelligence", "Data transformation", "Analytics engineering", "Forecasting models", "Measurement initiatives", "Data quality", "Data reliability", "Decision-making confidence", "Strategic recommendations" ], "hardSkillsList" : [ "Marketing analytics", "Marketing operations", "Performance measurement", "Business intelligence", "Data warehousing", "Data transformation", "Analytics engineering", "SQL optimization", "Digital marketing", "Attribution modeling", "Conversion tracking", "Data integration", "Data governance", "Measurement frameworks", "Attribution best practices", "Dashboard building", "Reporting solutions", "Forecasting", "Incrementality testing", "Geo-testing", "Lift studies", "Experimentation frameworks", "A/B testing", "Data quality improvement", "Data accessibility" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Marketing operations", "level" : "intermediate" }, { "name" : "Performance measurement", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Digital marketing", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Conversion tracking", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" }, { "name" : "Attribution best practices", "level" : "intermediate" }, { "name" : "Dashboard building", "level" : "intermediate" }, { "name" : "Reporting solutions", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Geo-testing", "level" : "intermediate" }, { "name" : "Lift studies", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data quality improvement", "level" : "intermediate" }, { "name" : "Data accessibility", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Marketing analytics, Marketing operations, Data warehousing, Attribution modeling", "majorSkillsList" : [ "Marketing analytics", "Marketing operations", "Data warehousing", "Attribution modeling" ], "coreResponsibilities" : "Design marketing analytics ecosystem, Build marketing analytics ecosystem, Oversee marketing analytics ecosystem, Develop marketing KPIs, Maintain marketing KPIs, Establish governance processes, Manage tracking infrastructure, Create reporting frameworks, Create dashboards, Create self-service analytics solutions, Partner with leadership, Develop forecasting models, Develop budget scenarios, Develop performance targets, Develop strategic recommendations, Lead measurement initiatives, Identify data quality issues, Implement solutions for data reliability, Implement solutions for data accessibility, Implement solutions for decision-making confidence, Translate analytical findings, Collaborate with data engineering, Collaborate with finance, Collaborate with marketing, Collaborate with executive teams", "teamCollaboration" : "Cross-functional teams; Marketing teams; Business leaders; Data engineering; Finance; Executive teams", "projectManagementSkills" : [ "Experimentation frameworks", "A/B testing programs" ], "domainKnowledge" : "Marketing analytics; Marketing operations; Performance measurement; Attribution modeling; Conversion tracking; Data governance; Measurement frameworks; Marketing attribution; Incrementality testing; Geo-testing; Lift studies; Experimentation frameworks; A/B testing", "domainList" : [ "marketing-analytics", "marketing-operations", "performance-measurement", "attribution-modeling", "conversion-tracking", "data-governance", "measurement-frameworks", "marketing-attribution", "incrementality-testing", "geo-testing", "lift-studies", "experimentation-frameworks", "a-b-testing" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Marketing operations", "Performance measurement", "Attribution modeling", "Conversion tracking", "Data governance", "Measurement frameworks", "Marketing attribution", "Incrementality testing", "Geo-testing", "Lift studies", "Experimentation frameworks", "A/B testing" ], "toolProficiency" : [ "Snowflake", "Dbt", "Looker", "LookML" ], "communicationSkills" : "Present findings; Actionable recommendations", "continuousLearning" : "Professional development opportunities; Continuous learning", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical mindset; Data quality issues; Data reliability", "specialRequirements" : "Physically located within the United States", "outcomesObjectives" : "Support growth objectives; Improve data reliability; Improve data accessibility; Improve decision-making confidence", "qualificationsBasic" : "5+ years marketing analytics experience, 2+ years cloud data warehouse management, Advanced SQL skills, Deep understanding of digital marketing channels, Experience integrating data from advertising platforms, Knowledge of data governance, Experience building dashboards, Analytical mindset, Excellent communication skills, Stakeholder management skills, Physically located within the United States", "qualificationsPreferred" : "Experience with Python for analytics, Supporting multiple brands experience, Background in insurance, Background in financial services, Background in fintech, Background in regulated industries", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and oversee a centralized marketing analytics ecosystem that supports performance measurement, attribution, forecasting, and growth optimization initiatives. Develop and maintain enterprise-level marketing KPIs, including customer acquisition cost, return on ad spend, conversion performance, lifetime value, attribution metrics, and revenue impact. Establish governance processes for marketing data collection, tracking accuracy, attribution methodologies, and reporting consistency across paid and owned channels. Manage tracking infrastructure, including pixels, tag management systems, server-side tracking implementations, conversion APIs, and offline conversion integrations. Create scalable reporting frameworks, dashboards, and self-service analytics solutions that provide actionable insights to marketing teams and business leaders. Partner with leadership to develop forecasting models, budget scenarios, performance targets, and strategic recommendations that support growth objectives. Lead advanced measurement initiatives such as incrementality testing, geo-testing, lift studies, experimentation frameworks, and A/B testing programs. Identify data quality issues and implement solutions that improve data reliability, accessibility, and decision-making confidence. Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders. Collaborate closely with data engineering, finance, marketing, and executive teams to align reporting standards and performance measurement practices. Requirements 5+ years of experience in marketing analytics, marketing operations, performance measurement, business intelligence, or related analytical functions. Minimum 2 years of hands-on experience managing cloud-based data warehouse environments, particularly Snowflake or comparable platforms. Strong expertise with dbt and modern data transformation, modeling, and analytics engineering practices. Advanced SQL skills with proven experience analyzing large and complex datasets. Deep understanding of digital marketing channels, including paid search, paid social, affiliate marketing, attribution modeling, and conversion tracking methodologies. Experience integrating data from advertising platforms, CRM systems, analytics tools, and marketing technology ecosystems. Knowledge of data governance, measurement frameworks, and marketing attribution best practices. Experience building dashboards and reporting solutions using Looker, LookML, or similar business intelligence platforms. Strong analytical mindset with the ability to convert data into strategic business recommendations. Excellent communication and stakeholder management skills, including the ability to present findings to senior leadership and executive audiences. Experience with Python for analytics, automation, or data science applications is highly desirable. Previous experience supporting multiple brands, business units, or product portfolios is preferred. Background in insurance, financial services, fintech, or other regulated industries is considered a strong advantage. Must be physically located within the United States. Benefits Competitive base salary ranging from $140,000 to $150,000 annually, based on experience and qualifications. Performance-based bonus opportunity of up to 15% of base salary. Comprehensive health and wellness benefits package. Fully remote work environment offering flexibility and work-life balance. Opportunity to build and lead a critical marketing analytics function with enterprise-wide visibility and impact. Direct exposure to executive leadership and strategic business initiatives. Professional development opportunities within a fast-growing, technology-driven organization. Collaborative culture that encourages innovation, continuous learning, and data-driven decision-making. Opportunity to work with modern analytics technologies, cloud data platforms, and advanced marketing measurement frameworks. Long-term career growth potential in a rapidly transforming business environment. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Manager, Marketing Analytics & Operations. Skills: Marketing analytics, Marketing operations, Data warehousing, Attribution modeling. Design marketing analytics ecosystem. Build marketing analytics ecosystem", "postedDate" : "2026-06-12T10:41:04.766", "createdAt" : "2026-06-12T10:41:04.766", "lastUpdated" : "2026-06-15T22:08:36.000", "ingestTimestamp" : "2026-06-14T21:44:46.724", "mongoId" : "6a2cb21074d8ee00a09dfc5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Marketing operations", "Performance measurement", "Business intelligence", "Data warehousing", "Data transformation", "Analytics engineering", "SQL optimization", "Digital marketing", "Attribution modeling", "Conversion tracking", "Data integration", "Data governance", "Measurement frameworks", "Attribution best practices", "Dashboard building", "Reporting solutions", "Forecasting", "Incrementality testing", "Geo-testing", "Lift studies", "Experimentation frameworks", "A/B testing", "Data quality improvement", "Data accessibility", "Leadership", "Forecasting models", "Measurement initiatives", "Data quality", "Data reliability", "Decision-making confidence", "Strategic recommendations", "A/B testing programs", "Marketing attribution", "Snowflake", "Dbt", "Looker", "LookML" ], "skillCount" : 38, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 885.53754, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92c174d8ee00a09867fc", "title" : "Finance BI & Data Engineer", "company" : "Hidden Job Board", "industry" : "FinTech", "salary" : { "min" : 130000.0, "max" : 175000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Finance BI & Data Engineer in Melbourne, Australia, adjusted for the Consumer Goods industry." }, "location" : "Melbourne, Victoria, Australia", "locations" : [ "Melbourne", "Victoria", "Australia" ], "timestamp" : "2026-06-16T02:53:15.949", "fingerprint" : "52c3e90e848e54b8518450a00f9068dc27350d6fe8b1f28884409c83a40548e1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wgachidden/jobs/8578175002", "externalId" : "8578175002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "CONTRACT", "technicalSkills" : "Snowflake, Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso, AI, ML", "professionalSkills" : [ "Systems thinking", "Data architecture", "Data modeling", "Semantic layers", "Integration layers", "AI/ML", "Predictive modeling", "Financial reporting", "Forecasting", "Scenario modeling", "Anomaly detection", "Data governance", "Reconciliation frameworks" ], "hardSkillsList" : [ "Data pipeline engineering", "BI reporting", "Profitability attribution", "Automated forecasting", "ML/AI deployment", "Data governance", "Reconciliation" ], "hardSkills" : [ { "name" : "Data pipeline engineering", "level" : "intermediate" }, { "name" : "BI reporting", "level" : "intermediate" }, { "name" : "Profitability attribution", "level" : "intermediate" }, { "name" : "Automated forecasting", "level" : "intermediate" }, { "name" : "ML/AI deployment", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Reconciliation", "level" : "intermediate" } ], "majorSkills" : "Data engineering, BI reporting, ML/AI, Financial forecasting", "majorSkillsList" : [ "Data engineering", "BI reporting", "ML/AI", "Financial forecasting" ], "coreResponsibilities" : "Design data models, Build semantic layers, Embed self-service reporting layer, Eliminate capability debt, Eliminate manual reconciliation, Build profitability attribution engine, Deploy applied ML/AI techniques, Automate forecasting, Accelerate capital allocation decisions, Engineer Financial Single Source of Truth, Build real-time reporting layer, Map P&L attribution model, Prototype predictive AI tools, Deploy ML/AI for cash forecasting, Deploy ML/AI for P&L forecasting, Deploy ML/AI for scenario modeling, Deploy ML/AI for anomaly detection, Evaluate core tooling, Lead technical evaluation, Assess NetSuite Planning and Budgeting module, Assess BI tool ecosystem, Establish auditable reconciliation frameworks, Codify sustainable documentation", "teamCollaboration" : "Commercial squads; Supply Chain squads; FP&A team; Finance requirements; Data engineering standards; Non-technical business leaders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "3-way financials; Profitability attribution; Financial forecasting; Capital allocation; ERP integration; Financial planning tools; Data governance; Reconciliation frameworks", "domainList" : [ "3-way-financials", "profitability-attribution", "financial-forecasting", "capital-allocation", "erp-integration", "financial-planning-tools", "data-governance", "reconciliation-frameworks" ], "domainSpecificKnowledge" : [ "3-way financials", "Profitability attribution", "Financial forecasting", "Capital allocation", "ERP integration", "Financial planning tools", "Data governance", "Reconciliation frameworks" ], "toolProficiency" : [ "Snowflake", "BI tools" ], "communicationSkills" : "Board reporting; Executive reporting", "documentationSkills" : "Sustainable documentation", "continuousLearning" : "Tailored learning and development", "problemSolvingSkills" : "Systems thinking; Spotting bottlenecks; Challenging legacy habits; Challenging ad-hoc reporting", "outcomesObjectives" : "Create Single Source of Truth; Systematically eliminate debt; Accelerate leadership decisions", "qualificationsBasic" : "Platform and data infrastructure experience, Scoping, tracking, and executing end-to-end data pipelines, Tool implementations or systems-level transformation roadmaps, Data architecture experience, Data modeling experience, Semantic layers experience, Custom integration layers experience, Practical AI/ML tools utilization, Predictive modeling workflows utilization", "qualificationsPreferred" : "Snowflake experience, NetSuite Planning and Budgeting module experience, BI tool ecosystem experience", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come join the revolootion! Funny name, serious business We make eco-friendly products and donate 50% of our profits to provide clean water and help build toilets for the billions of people who lack proper access. So far, we’ve contributed over $18 million AUD (roughly $12.5 million USD) to fund sanitation projects around the globe. Basically, we’re really good at doing good. With hubs in Australia, the Philippines, China, the US, UK and Europe, our amazing team of 200+ work to make the biggest possible impact for people and the planet. Over the next couple of years, we’re hoping to increase our annual donation tenfold to get us closer to our dream of everyone in the world having access to clean water and sanitation services. A bit about the role We are looking for a Finance BI and Data Engineer for a 12-month contract to act as the technical engine behind the transformation of our Finance function from standard data outputs to true value creation. Sitting within our Number Scrunchers / FP&A team and reporting to the Head of FP&A, you will design, build, and embed a real-time, self-service reporting layer that becomes our Single Source of Truth for 3-way financials. Your mission is to systematically eliminate capability debt and manual reconciliation. By building an advanced profitability attribution engine and deploying applied ML/AI techniques for automated forecasting, you will directly accelerate our leadership team's ability to make high-impact, confident capital allocation decisions. If you worked here this past month here are some things you might have been involved in: Engineering a Financial Single Source of Truth: Designing intuitive data models and semantic layers in Snowflake to build a real-time, self-service 3-way reporting layer for our Board and Executive team. Building a Profitability Engine: Partnering with our Commercial and Supply Chain squads to build and systematize a P&L attribution model mapped to channels, markets, and products. Prototyping Predictive AI Tools: Collaborating with FP&A to deploy applied ML/AI techniques for automated cash and P&L forecasting, scenario modeling, and anomaly detection with robust human-in-the-loop controls. Evaluating Core Tooling: Leading the technical evaluation and reconfiguration/replacement assessment of our NetSuite Planning and Budgeting (NSPB) module and broader BI tool ecosystem. Driving Data Governance: Establishing auditable reconciliation frameworks between your new reporting layer and source systems to maintain total data trust, while codifying sustainable documentation for a seamless hand-off. Let’s talk about you The Experience: You bring strong platform and data infrastructure experience, with a proven track record of scoping, tracking, and executing end-to-end data pipelines, tool implementations, or systems-level transformation roadmaps. A Systems Thinker: You have a unique ability to see how platforms, integrations, data flows, and manual team workflows connect into a singular ecosystem. You easily spot where constraints in one area create bottlenecks across the whole P& L. Technical & Architecture Savvy: You are highly proficient in data architecture (ideally with Snowflake or similar data lakes), data modeling, semantic layers, and custom integration layers with ERPs or financial planning tools (like NetSuite). Practically Fluent in AI: You have a demonstrated history of utilizing practical AI/ML tools or predictive modeling workflows to turn unstructured or fragmented data into automated, highly reliable business solutions. A Collaborative Translator: You effortlessly bridge the gap between finance requirements, data engineering standards, and non-technical business leaders. You are comfortable challenging legacy manual habits and ad-hoc reporting loops to protect the core architectural roadmap. You give a crap Do you want your work to make the world a better place? Do you want to work with other people who feel the same way? What a coincidence — us too! Why should you work with us? First off, as a certified B Corp™, we work to make a difference every day while maintaining the highest standards of social and environmental impact. With our most recent score of 125.5 we’re in very good company with other exceptional B Corps around the world. We also believe that helping to make the world a better place should be rewarded accordingly – that’s why we offer competitive, market informed salaries, meaningful support towards healthcare for our team around the world, generous paid leave, tailored learning and development opportunities, and free toilet paper (yes, you read that right). Our engagement surveys (thanks Culture Amp!) tell us that our team is really proud (95%) to work for Who Gives A Crap and, well, we couldn’t be more proud of that. Have you made it this far? If you’re still reading, we think there’s a strong chance you might be our kind of person. Here’s the thing, though — research suggests that 60% of women and underrepresented folks might have already talked themselves out of applying. Even if you don’t check every box above, we want to encourage you to introduce yourself. We believe a diversity of perspectives and experiences makes a team stronger — and the stronger our team, the closer we are to delivering toilets and clean water for all.", "summaryDescription" : "Finance BI & Data Engineer at Hidden Job Board. Skills: Data engineering, BI reporting, ML/AI, Financial forecasting. Design data models. Build semantic layers", "postedDate" : "2026-06-14T20:12:35.845", "createdAt" : "2026-06-14T20:12:35.845", "lastUpdated" : "2026-06-16T02:53:15.949", "ingestTimestamp" : "2026-06-14T20:12:35.845", "mongoId" : "6a2c92c174d8ee00a09867fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data pipeline engineering", "BI reporting", "Profitability attribution", "Automated forecasting", "ML/AI deployment", "Data governance", "Reconciliation", "Data engineering", "ML/AI", "Financial forecasting", "Systems thinking", "Data architecture", "Data modeling", "Semantic layers", "Integration layers", "AI/ML", "Predictive modeling", "Financial reporting", "Forecasting", "Scenario modeling", "Anomaly detection", "Reconciliation frameworks", "Roadmap planning", "3-way financials", "Capital allocation", "ERP integration", "Financial planning tools", "Snowflake", "BI tools" ], "skillCount" : 29, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 872.6416, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Goods", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c9074d8ee00a0919e0d", "title" : "Senior Analytics Engineer", "company" : "Justworks", "industry" : "SaaS", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Analytics Engineer in New York, adjusted for the technology industry and company size." }, "location" : "New York, New York", "locations" : [ "New York", "New York" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T06:01:46.992", "fingerprint" : "784cc36a107b83cdd503e11dc68a6146c848e28cf1eb7a92369affda0d2e486d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/justworks/jobs/7996861?gh_jid=7996861", "externalId" : "7996861", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Airflow, Fivetran, Dbt, GitHub, CircleCI, Tableau, Redash, Jira, Terraform", "professionalSkills" : [ "Data modeling", "Semantic layer design", "Metric definition", "Information design", "Data governance", "Analytics enablement" ], "hardSkillsList" : [ "Data warehousing", "Data modeling", "BI content development", "Data testing", "Data management", "Information design", "Data governance", "Analytics engineering" ], "softSkillsList" : [ "Critical thinking", "Mentorship" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "BI content development", "level" : "intermediate" }, { "name" : "Data testing", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Information design", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Mentorship" } ], "majorSkills" : "Analytics Engineering, Data Modeling, BI Development", "majorSkillsList" : [ "Analytics Engineering", "Data Modeling", "BI Development" ], "coreResponsibilities" : "Transform raw data, Design data models, Build data models, Maintain semantic layer, Define metrics, Define entities, Define business logic, Partner with analysts, Build BI content, Govern BI content, Translate business questions, Co-develop metric definitions, Drive adoption of models, Identify opportunities, Architect new facts, Architect new dimensions, Apply data testing, Manage sensitive data, Level up information design, Level up data governance, Level up analytics engineering, Define internal standards, Provide technical leadership, Mentor junior team members, Foster best practices", "teamCollaboration" : "Partner with analysts; Partner with business teams; Work with data engineers; Work with business stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Agile practices" ], "domainKnowledge" : "Medallion architecture; Data warehousing; BI platforms; Cloud data stacks; ML frameworks; Statistical methods; Quantitative analysis; Data engineering; ML/AI; Business intelligence; Analytics engineering", "domainList" : [ "medallion-architecture", "data-warehousing", "bi-platforms", "cloud-data-stacks", "ml-frameworks", "statistical-methods", "quantitative-analysis", "data-engineering", "ml-ai", "business-intelligence", "analytics-engineering" ], "domainSpecificKnowledge" : [ "Medallion architecture", "Data warehousing", "BI platforms", "Cloud data stacks", "ML frameworks", "Statistical methods", "Quantitative analysis", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering" ], "toolProficiency" : [ "Snowflake", "Airflow", "Fivetran", "Dbt", "GitHub", "CircleCI", "Tableau", "Redash", "Jira", "Terraform" ], "communicationSkills" : "Translate technical topics", "problemSolvingSkills" : "Solve ambiguous problems", "outcomesObjectives" : "Accelerate reporting; Accelerate insights; Accelerate self-service; Derive more value from datasets; Support enhanced operations; Support decision-making", "qualificationsBasic" : "5+ years experience, SQL proficiency, Data modeling experience, Experience with data warehousing, Experience with BI tools, Experience with data pipelines, Experience with data governance", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & Analytics About The Team The Data & Analytics team is Justworks' data and AI center of excellence — a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us! Who You Are You're a data practitioner with a strong track record for designing, building, and deploying models within a medallion architecture to accelerate reporting, insights, and self-service capabilities. You have a strong understanding of how to use data to answer business questions, and are passionate about unlocking that capability for data teams and business stakeholders across the organization. You enjoy partnering closely with stakeholders, translating their questions into trustworthy data products, and you display an enthusiasm for working through complex problems together. You have a keen sense of the big picture and can effectively drive projects toward realistic, yet rewarding business outcomes. As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive more value from its datasets through scalable, modular design of our enterprise data models and semantic layer. You will work closely with data engineers, analysts, and business stakeholders to develop & iterate on data requirements, put data models into production, and surface them through governed BI. Your work will directly support enhanced operations and decision-making as we improve the quality of our data assets and scale of our data practice. Your Success Profile What You Will Work On Transform raw data into high-quality data models that are easily queried and understood by various business units (e.g., Sales, Marketing, Product, Engineering, Operations) Design, build, and maintain our semantic layer using Snowflake semantic views — defining metrics, entities, and business logic so stakeholders can self-serve trustworthy, consistently-defined data without re-deriving logic Partner with analysts and business teams to build and govern BI content in Tableau and Redash — curated data sources, certified dashboards, and reusable metrics — and reduce dashboard sprawl through consolidation and clear standards Partner directly with stakeholders to translate business questions into data requirements, co-develop metric definitions, and drive adoption of governed models and dashboards Proactively identify opportunities to close gaps in reporting and insights generation by architecting new business facts and dimensions Apply effective data testing and sensitive data management strategies to ensure the quality and security of information provided to the business Level up our information design, data governance, and analytics engineering practices by defining our internal standards for lineage, maintainability, performance, and cost management Provide technical leadership and mentorship to junior and mid-level team members, fostering best practices in data modeling, orchestration, data warehouse architecture, data privacy, and analytics enablement Perform other related duties as assigned How You Will Do Your Work In the Senior Analytics Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies: Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome. Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what's in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better. Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism. Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking. Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve. In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for: Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You're an active listener, treat people respectfully, and have a strong desire to know and help others. Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You're curious, ask open questions, and are receptive to thoughts and feedback from others. Grit - You demonstrate grit by having the courage to commit and persevere. You're committed, earnest, and dive in to get the job done well with a positive attitude. Integrity - Simply put, do what you say and say what you'll do. You're honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. Simplicity - Be like Einstein: \"Everything should be made as simple as possible, but no simpler.\" Qualifications A minimum of 5 years of professional hands-on experience in analytics engineering, data analytics, data engineering, or a similar role Extensive experience transforming raw data into consistent, trustworthy data models for use by analytics and business stakeholders Hands-on experience building and maintaining a semantic/metrics layer (Snowflake semantic views or equivalent) that powers self-service analytics Demonstrated experience building and governing assets that power BI— certified data sources, dashboard design, and self-service enablement Proven track record partnering directly with non-technical stakeholders to define metrics, gather requirements, and drive adoption of data products Proficient in writing performant SQL and leveraging dbt for data transformation and model management Expert understanding of data warehousing concepts for analytics, including dimensional modeling, star schemas, and representation of complex business facts Experience with Python or other programming languages commonly used in data engineering Strong ability to troubleshoot, optimize, and scale data models for performance and usability Comfortable translating complex technical topics for business stakeholders Comfortable with Git, command line, and CI/CD best practices Comfortable managing workflows using Agile practices Ability to solve ambiguous problems independently Nice to have Experience w/modern data stack tools (e.g., Fivetran, dbt, Snowflake) Experience working in complex, highly dimensional data ecosystems Experience implementing sensitive data management solutions and privacy-by-design principles strongly preferred Technologies Used Languages: SQL, Python, Terraform Stack: Snowflake (incl. semantic views), Airflow, Fivetran, dbt, GitHub, CircleCI, Tableau, Redash, Jira The base wage range for this position based in our New York City Office is targeted at $147,000.00 - $190,000.00 per year. #LI-DG2 #LI-Hybrid Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location. For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks. Diversity At Justworks Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers. We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at accommodations@justworks.com. Your comfort and success matter to us, and we're here to ensure an inclusive experience. Our DEIB Report", "summaryDescription" : "Senior Analytics Engineer at Justworks. Skills: Analytics Engineering, Data Modeling, BI Development. Transform raw data. 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You thrive on the pursuit of factual information and require tangible resources to believe informat", "summaryDescription" : "Senior Power BI Consultant at Collectiv. Skills: Power BI development, Data analysis. Develop Power BI solutions. Implement Power BI solutions", "createdAt" : "2026-06-14T19:31:58.618", "lastUpdated" : "2026-06-16T02:38:33.376", "ingestTimestamp" : "2026-06-14T19:31:58.618", "mongoId" : "69cf19022beec4dd3d8f336c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Power BI development", "Power BI" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 858.00745, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28eb", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T10:22:50.609", "fingerprint" : "216ca82881666781998234198e0fbc798e94c407e43c5b28bae96ef01659e62c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/2455d942-1f05-46d6-811a-bb703e0cf22e/application", "externalId" : "2455d942-1f05-46d6-811a-bb703e0cf22e", "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" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving", "Data analysis", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell what is happening, Tell why it is happening, Tell what next steps should be", "teamCollaboration" : "Embedded business unit", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems", "outcomesObjectives" : "Move team metrics; Go from 5M to 50M customers; Become $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. 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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" : 850.861, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309c7af292fd229c0fb15c", "title" : "Senior Product Marketing Manager", "company" : "Boomi", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Marketing Manager in the SaaS industry in Canada, adjusted for seniority and company size." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T10:56:28.426", "fingerprint" : "d8a621ec77a78db446e8815315c73d0a484eae831b4a21b33a579fff84bdc3cd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boomi.com/boomi-jobs/?gh_jid=6030685004", "externalId" : "6030685004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data management", "professionalSkills" : [ "Market instincts", "Analyst relations", "Sales enablement" ], "hardSkillsList" : [ "Messaging development", "Positioning development", "Content production", "Performance analysis" ], "hardSkills" : [ { "name" : "Messaging development", "level" : "intermediate" }, { "name" : "Positioning development", "level" : "intermediate" }, { "name" : "Content production", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "majorSkills" : "Product marketing, Data management, Analyst relations", "majorSkillsList" : [ "Product marketing", "Data management", "Analyst relations" ], "coreResponsibilities" : "Develop messaging and positioning, Lead marketing strategy, Execute marketing strategy, Support analyst relations program, Lead analyst briefings, Lead analyst inquiries, Drive analyst report submissions, Produce high-quality content, Partner with sales, Build enablement materials, Deliver enablement materials, Design marketing programs, Execute marketing programs, Track marketing performance, Analyze marketing performance, Refine strategies, Monitor industry trends, Represent Boomi, Contribute to product trial experience", "teamCollaboration" : "Work with product management; Collaborate with marketing programs; Work cross-functionally; Collaborate with product; Collaborate with sales; Collaborate with customer success", "domainKnowledge" : "Data management; Agentic AI trends", "domainList" : [ "data-management", "agentic-ai-trends" ], "domainSpecificKnowledge" : [ "Data management", "Agentic AI trends" ], "communicationSkills" : "Translate complex concepts; Persuasive narratives", "documentationSkills" : "Case studies; White papers; Solution briefs; Blog posts; Competitive battlecards", "problemSolvingSkills" : "Analytical mindset", "outcomesObjectives" : "Drive awareness; Drive pipeline; Drive product adoption", "qualificationsBasic" : "8+ years product marketing experience, Marketing data management solutions experience, Analyst briefings experience, Driving analyst report submissions, Developing marketing strategies, Executing marketing strategies, Translating technical concepts, Presenting at customer events, Familiarity with agentic AI trends", "qualificationsPreferred" : "Master's degree in marketing or business", "rawDescription" : "About Boomi and What Makes Us Special Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more. How You'll Make An Impact: As Senior Product Marketing Manager for Data Management, you'll own the marketing strategy for Boomi's data management capabilities within the Boomi Enterprise Platform. Given Boomi is “The Data Activation Company”, this is one of the most strategically important areas of our product portfolio. You'll bring deep domain fluency, sharp market instincts, and the credibility to represent Boomi externally with analysts, customers, and industry audiences. This is a high-visibility role for a seasoned product marketer who has worked inside the data management space and who knows how to navigate the analyst ecosystem, from briefings and inquiries to leading report submissions like Gartner Magic Quadrants and Forrester Waves. What you’ll do: Develop sharp, differentiated messaging and positioning for Boomi Data Management that resonates with buyers and stands out in a crowded market Lead and execute the marketing strategy for data management, working closely with product management on launches and serving as the voice of the buyer to help shape roadmap decisions Support Boomi's analyst relations program for data management - leading briefings and inquiries, and driving product and marketing sections of analyst report submissions Produce high-quality content across the full funnel: case studies, white papers, solution briefs, demos, blog posts, and competitive battlecards Partner with sales to build and deliver enablement materials that help teams win in competitive deals Collaborate with the marketing programs team to design and execute programs that drive awareness, pipeline, and product adoption Track and analyze marketing performance, continuously refining strategies based on data and market feedback Monitor industry trends to keep Boomi's positioning sharp and relevant Represent Boomi as a subject matter expert at customer events, conferences, and webinars Contribute to an exceptional product trial experience that converts interest into adoption The Experience You Bring 8+ years of product marketing experience, with most spent marketing data management solutions at a data management vendor or a platform company with strong data management capabilities, this domain expertise is essential Proven track record of doing analyst briefings and driving submissions for major industry analyst reports (Gartner Magic Quadrant, Forrester Wave, or equivalent) Demonstrated success developing and executing marketing strategies that drive measurable impact on pipeline and adoption Exceptional communicator who can translate complex technical concepts into clear, persuasive narratives for both technical and business audiences Experience presenting at customer-facing events, webinars, or industry conferences as a subject matter expert Strong analytical mindset with the ability to turn market data into actionable strategy Collaborative by nature, with experience working cross-functionally across product, sales, and customer success Familiarity with agentic AI trends and how they intersect with the data management landscape Bachelor's or master's degree in marketing, business, or a related field Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities. All employment decisions are based on business needs, job requirements, and individual qualifications. Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.", "summaryDescription" : "Senior Product Marketing Manager at Boomi. Skills: Product marketing, Data management, Analyst relations. Develop messaging and positioning. Lead marketing strategy", "postedDate" : "2026-06-16T03:17:19.001", "createdAt" : "2026-06-16T03:17:19.001", "lastUpdated" : "2026-06-16T10:56:28.426", "ingestTimestamp" : "2026-06-16T03:17:19.001", "mongoId" : "6a309c7af292fd229c0fb15c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Messaging development", "Positioning development", "Content production", "Performance analysis", "Product marketing", "Data management", "Analyst relations", "Market instincts", "Sales enablement", "Agentic AI trends" ], "skillCount" : 10, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 846.29517, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8bd574d8ee00a0973e1b", "title" : "Senior Manager, Digital Analytics", "company" : "Gen Digital", "industry" : "Finance & Business Performance", "salary" : { "min" : 188000.0, "max" : 216000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "USA - New York, NY", "locations" : [ "USA - New York, NY", "USA - Mountain View, CA", "USA - Tempe, AZ" ], "timestamp" : "2026-06-15T09:34:34.880", "fingerprint" : "c93a3afcf2d70c0ae2aeecbdbc3bbd2db7e07358057602c1003da46180cd0750", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gen-digital/5aad1b19-6093-4b34-9137-034ca5712d94/application", "externalId" : "5aad1b19-6093-4b34-9137-034ca5712d94", "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" : "JavaScript, HTML, CSS, SQL", "professionalSkills" : [ "Data layer strategy", "Tag governance", "Web instrumentation", "Marketing tagging", "Privacy compliance" ], "hardSkillsList" : [ "Web analytics", "Tag management", "Data collection", "Data structuring", "Data flow management", "Schema definition", "Naming conventions", "Event taxonomy", "Variable standards", "Client-side tagging", "Server-side tagging", "Data fidelity", "Privacy compliance", "Tag audits", "QA validation", "Third-party tag configuration", "User behavior tracking", "Funnel tracking", "Event tracking", "SPA tracking", "Debugging", "SDK integration", "Conversion attribution", "Consent management", "Cookie governance" ], "hardSkills" : [ { "name" : "Web analytics", "level" : "intermediate" }, { "name" : "Tag management", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Schema definition", "level" : "intermediate" }, { "name" : "Naming conventions", "level" : "intermediate" }, { "name" : "Event taxonomy", "level" : "intermediate" }, { "name" : "Variable standards", "level" : "intermediate" }, { "name" : "Client-side tagging", "level" : "intermediate" }, { "name" : "Server-side tagging", "level" : "intermediate" }, { "name" : "Data fidelity", "level" : "intermediate" }, { "name" : "Privacy compliance", "level" : "intermediate" }, { "name" : "Tag audits", "level" : "intermediate" }, { "name" : "QA validation", "level" : "intermediate" }, { "name" : "Third-party tag configuration", "level" : "intermediate" }, { "name" : "User behavior tracking", "level" : "intermediate" }, { "name" : "Funnel tracking", "level" : "intermediate" }, { "name" : "Event tracking", "level" : "intermediate" }, { "name" : "SPA tracking", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "SDK integration", "level" : "intermediate" }, { "name" : "Conversion attribution", "level" : "intermediate" }, { "name" : "Consent management", "level" : "intermediate" }, { "name" : "Cookie governance", "level" : "intermediate" } ], "majorSkills" : "Web measurement infrastructure, Data layer specification, Tealium tag governance, Amplitude analytics", "majorSkillsList" : [ "Web measurement infrastructure", "Data layer specification", "Tealium tag governance", "Amplitude analytics" ], "coreResponsibilities" : "Define data layer specification, Maintain data layer schema, Establish naming conventions, Approve data layer changes, Own Tealium iQ implementation, Lead tag deployment strategy, Define tag governance standards, Onboard third-party vendor tags, Define instrumentation strategy, Implement data layer pushes, Own QA and validation process, Drive instrumentation-first development, Own marketing tag ecosystem, Manage cookie governance framework", "teamCollaboration" : "Partner with product engineering; Partner with product management; Partner with data engineering; Partner with marketing teams; Partner with adtech teams; Liaise with legal; Liaise with engineering", "domainKnowledge" : "Digital analytics; Tag management; Web instrumentation; Marketing tagging; Privacy regulations; GDPR; CCPA/CPRA; ePrivacy; Cookie governance; Consent management; Server-side tagging; Customer data platforms", "domainList" : [ "digital-analytics", "tag-management", "web-instrumentation", "marketing-tagging", "privacy-regulations", "gdpr", "ccpa-cpra", "eprivacy", "cookie-governance", "consent-management", "server-side-tagging", "customer-data-platforms" ], "domainSpecificKnowledge" : [ "Digital analytics", "Tag management", "Web instrumentation", "Marketing tagging", "Privacy regulations", "GDPR", "CCPA/CPRA", "ePrivacy", "Cookie governance", "Consent management", "Server-side tagging", "Customer data platforms" ], "toolProficiency" : [ "Tealium", "Amplitude", "Google Tag Manager", "Adobe Launch", "OneTrust", "Cookiebot", "FullStory", "Heap" ], "communicationSkills" : "Translate technical concepts", "documentationSkills" : "Documentation", "qualificationsBasic" : "5+ years experience, SQL proficiency, JavaScript proficiency", "qualificationsPreferred" : "Tealium AudienceStream experience a plus, Experience with consent management platforms, Familiarity with server-side tagging, Experience with other tag management systems, Exposure to adjacent tools, Experience in cybersecurity product environment, Familiarity with SQL and data warehouse querying", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT GEN: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. ABOUT THE ROLE: Gen Digital operates a portfolio of consumer security and privacy brands serving hundreds of millions of users worldwide. Every product decision, marketing dollar, and growth initiative depends on a single question: what is the data actually telling us? This role is the answer. The Digital Analytics & Tag Management Lead owns Gen's end-to-end web measurement infrastructure. You are the primary technical authority on how behavioral data is collected, structured, and delivered for our web properties — from the data layer specification through Tealium tag governance, web instrumentation, marketing tagging, cookie and consent management, and the Amplitude digital analytics platform. You lead a team of individual contributors and serve as the primary internal stakeholder for what the data layer should look like, ensuring it reliably powers product analytics, marketing measurement, and privacy compliance at global scale. KEY RESPONSIBILITIES: Data Layer Strategy & Governance - Serve as the primary internal stakeholder for Gen's data layer; Engineering still owns much of this , but you need to be defining and maintaining the specification that governs what data is collected, how it is structured, and how it flows to all downstream consumers. - Author and maintain the canonical data layer schema across web properties; own versioning, change management, and documentation. - Establish naming conventions, event taxonomy, and variable standards that enable consistent analytics across product lines and geographies. - Partner with product engineering, product management, and data engineering to review and approve any changes to the data layer before deployment. Tealium Tag Management - Own the enterprise Tealium iQ implementation end-to-end: tag library health, load rules, data layer variable configuration, publish workflows, and environment management. - Lead the strategy for client-side and server-side tag deployment, evaluating trade-offs between performance, data fidelity, and privacy compliance. - Define and enforce tag governance standards: tag audits, deprecation of legacy tracking, QA validation processes, and deployment approvals. - Partner with marketing and adtech teams to onboard, configure, and maintain third-party vendor tags within the Tealium ecosystem. Web Instrumentation - Define the instrumentation strategy for Gen's web and mobile web properties — determining what user behaviors, funnels, and events must be tracked to support product and marketing decisions. - Collaborate with front-end engineers to implement and validate data layer pushes, ensuring accurate event capture across SPA and traditional page architectures. - Own the QA and validation process for all instrumentation changes, including debugging via browser dev tools, Tealium's data trace, and Amplitude's event validation. - Drive a culture of instrumentation-first feature development: new product features ship with tracking requirements defined before code is written. Marketing Tagging & Privacy - Own the marketing tag ecosystem — paid search, paid social, affiliate, email, and display — ensuring tags fire correctly, attributing conversions accurately, and respecting user consent state. - Serve as the primary liaison between marketing, legal, and engineering on tagging-related privacy compliance: GDPR, CCPA/CPRA, and emerging global regulations. - Manage the cookie governance framework: audit and classify all cookies set across Gen properties, maintain the cookie inventory, and ensure alignment with disclosed privacy policies. - Own the consent management platform (CMP) configuration within Tealium, ensuring tag suppression, consent signal propagation, and opt-out behavior function correctly across all regions. - Partner with the privacy and legal teams on data residency requirements, PII redaction in tracking payloads, and incident response when a privacy issue involves tagging or instrumentation. Amplitude — Digital Analytics Platform - Own the Amplitude platform as Gen's primary digital analytics tool: contract, vendor relationship, governance model, and roadmap for adoption across product and marketing teams. - Define and enforce the Amplitude data governance model — taxonomy, event naming standards, user property conventions, and project/space structure — ensuring a trustworthy, self-service analytics environment. - Drive Amplitude adoption across product managers, growth managers, and marketers; build training materials, conduct workshops, and establish best practices so stakeholders can answer their own questions. - Own the Amplitude SDK integration strategy and instrumentation quality: work with engineering teams to ensure SDKs are correctly implemented, events are validated, and the platform reflects the canonical data layer spec. - Manage the integration between Tealium and Amplitude, ensuring data flows reliably, identity stitching is consistent, and the platform receives a clean, governed event stream. - Lead the evaluation of Amplitude feature releases and adjacent tooling (e.g., Amplitude Experiment for A/B testing, Amplitude CDP capabilities) and recommend adoption where it delivers clear value. People Management - Manage and mentor a team of 2-3 ICs, providing weekly 1:1s, clear performance feedback, and development plans aligned to the career framework. - Build succession plans, eliminate single points of failure, and develop the team's collective capability in data layer design, tag management, privacy, and Amplitude. - Participate in hiring: define role requirements, build interview panels, shadow interviewers, and make hire/no-hire decisions as the hiring manager. - Contribute meaningfully to the codebase on non-critical-path work — leading by example on code quality, process adherence, and high-quality pull requests. ABOUT YOU: Required - Bachelor’s degree in Computer Science, or a related field; Master’s or Ph.D. preferred. - 10+ years of experience in digital analytics, web measurement, or marketing technology, with at least 3–5 years in a formal people management role, demonstrating proficiency in all core management competencies. - Deep hands-on expertise with Tealium iQ: tag deployment, data layer configuration, load rules, extensions, and publish workflows; Tealium AudienceStream experience is a strong plus. - Proven ownership of a data layer at enterprise scale — authoring specs, governing changes, and partnering with engineering teams on implementation. - Expert-level understanding of web instrumentation: JavaScript event tracking, SPA tracking patterns, data layer pushes, browser debugging, and SDK integration. - Fluency in marketing tagging ecosystems: paid search (Google, Microsoft), paid social (Meta, TikTok), affiliate and display pixels, conversion APIs, and server-side tagging. - Hands-on experience with Amplitude, including SDK integration, taxonomy governance, and enabling self-service analytics for non-technical stakeholders. - Working knowledge of privacy regulations (GDPR, CCPA/CPRA, ePrivacy) and how they intersect with tagging, cookies, consent management, and data collection. - Proficiency in JavaScript and HTML/CSS sufficient to read, write, and debug custom tag code, data layer implementations, and instrumentation scripts. - Strong cross-functional communication: able to translate highly technical tagging and data layer concepts into clear requirements for engineers, privacy/legal teams, and marketing stakeholders. Preferred - Experience with consent management platforms (OneTrust, Cookiebot, or Tealium's native CMP) and IAB TCF / Google Consent Mode v2. - Familiarity with server-side tagging architectures and their privacy advantages over pure client-side approaches. - Experience with other enterprise tag management systems (Adobe Launch, Google Tag Manager) sufficient to assess migration and interoperability scenarios. - Exposure to adjacent tools in the measurement stack: session replay (FullStory, Heap), A/B testing platforms, and customer data platforms (CDPs). - Experience operating in a cybersecurity or consumer privacy-focused product environment, where data minimization is a core design constraint. - Familiarity with SQL and data warehouse querying (Snowflake, BigQuery) for validating upstream data quality. WHAT’S NEXT…. - Recruiter Interview - 1st Round Interview - 2nd Round Interview - Final Interview", "summaryDescription" : "Senior Manager, Digital Analytics at Gen Digital. Skills: Web measurement infrastructure, Data layer specification, Tealium tag governance, Amplitude analytics. Define data layer specification. Maintain data layer schema", "createdAt" : "2026-06-14T09:39:54.647", "lastUpdated" : "2026-06-15T09:34:34.880", "ingestTimestamp" : "2026-06-14T09:39:54.647", "mongoId" : "6a2c8bd574d8ee00a0973e1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 188000, "salaryAnnualMax" : 216000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Web analytics", "Tag management", "Data collection", "Data structuring", "Data flow management", "Schema definition", "Naming conventions", "Event taxonomy", "Variable standards", "Client-side tagging", "Server-side tagging", "Data fidelity", "Privacy compliance", "Tag audits", "QA validation", "Third-party tag configuration", "User behavior tracking", "Funnel tracking", "Event tracking", "SPA tracking", "Debugging", "SDK integration", "Conversion attribution", "Consent management", "Cookie governance", "Web measurement infrastructure", "Data layer specification", "Tealium tag governance", "Amplitude analytics", "Data layer strategy", "Tag governance", "Web instrumentation", "Marketing tagging", "Digital analytics", "Privacy regulations", "GDPR", "CCPA/CPRA", "ePrivacy", "Customer data platforms", "Tealium", "Amplitude", "Google Tag Manager", "Adobe Launch", "OneTrust", "Cookiebot", "FullStory", "Heap" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 845.87726, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8d6b74d8ee00a0978e4c", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "New York, New York", "Miami, Florida" ], "timestamp" : "2026-06-15T09:34:39.934", "fingerprint" : "634ef9f4b6358a18836a8e5f4474d391ff922358df3d89993cb68dba981957f9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/ec673979-7db1-42df-8c4a-cee67e198de8/application", "externalId" : "ec673979-7db1-42df-8c4a-cee67e198de8", "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", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data analysis", "Decision making", "Problem solving" ], "hardSkillsList" : [ "Analytical ability", "Data interpretation", "Metrics definition", "Report building", "Analysis design", "Experiment design" ], "hardSkills" : [ { "name" : "Analytical ability", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Analysis design", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data Insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data Insights" ], "teamCollaboration" : "Central BizOps team; Embedded in business unit; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Clear hypotheses", "qualificationsBasic" : "6+ years experience, Analytical ability, Track record of owning ambiguous analytical problems, Driving problems to business outcome, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHY WE EXIST Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, a repair marketplace, and home. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. WHY WE’RE HIRING Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former MBB consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then driving our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are adding a few new members to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. WHY YOU WILL (OR WON'T) LIKE WORKING HERE - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done here is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. You will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. WHAT YOU'LL OWN You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core product or business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. WHO YOU ARE - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. WHAT YOU'LL BRING - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous analytical problems and driving them to a business outcome. - Clear, persuasive communicator who can influence decisions at the leadership level. OUR TOOLS SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data Insights", "createdAt" : "2026-06-14T09:42:13.260", "lastUpdated" : "2026-06-15T09:34:39.934", "ingestTimestamp" : "2026-06-14T09:42:13.260", "mongoId" : "6a2c8d6b74d8ee00a0978e4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Analytical ability", "Data interpretation", "Metrics definition", "Report building", "Analysis design", "Experiment design", "BizOps", "Analytics", "Data Insights", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data analysis", "Decision making", "Problem solving", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 845.72327, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116c59", "title" : "Senior/Staff Data Scientist, Product Analytics", "company" : "Gallup", "salary" : { "min" : 135000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Omaha Riverfront", "locations" : [ "Omaha Riverfront" ], "timestamp" : "2026-06-16T14:10:48.359", "fingerprint" : "df4fb5183ce8d7b287b382fa0a23ef9977e48b1a697c4d21cef67c000c54c25a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4156860009", "externalId" : "4156860009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Shape product road maps and strategies with data-driven analytics and insights. As a senior/staff data scientist focused on product analytics for our Technology team, you’ll work with product managers, engineers and designers to define success, validate hypotheses, and measure user behavior and product performance. We’re looking for self-driven, curious analytics partners who thrive in ambiguity, learn continually and help teams accelerate decision-making. At Gallup, our analytics reflect what the world is thinking, empower millions of people to thrive using their strengths, and help leaders create exceptional workplaces. If you want your work to influence products that bring that mission to life, we’d love to hear from you. What You’ll Do Partner with product teams early in discovery, road map discussions and launch planning to turn goals into measurable outcomes Define and govern success metrics by building trusted metric definitions, dashboards and data models that enable self-serve decision-making Design and evaluate product experiments and analyses to assess the impact of new features, onboarding changes and product improvements Serve as a thought partner to product managers by pressure-testing hypotheses before implementation and confirming whether outcomes match expectations after launch Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next Improve analytics readiness by partnering with data platform and engineering teams on instrumentation, extraction, processing and modeling to ensure reliable, analysis-ready data Scale product analytics at Gallup by contributing to best practices, frameworks and repeatable ways of working What Makes You Stand Out Proactive problem-solving: You anticipate issues and opportunities in the data, translate analysis into action, and rapidly drive improvements to the user experience. Persistent resourcefulness: You independently create clarity from ambiguity, connecting distributed data, validating quality and delivering insights without relying on fully defined systems. Trusted product partnership: You collaborate closely with product, engineering, design, research and operations teams to solve complex problems, and confidently deliver constructive, data-backed recommendations. Experimentation judgment: You know when A/B tests are feasible and when they aren’t, and you can choose rigorous alternatives to answer product questions. Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on. Curious culture-builder: You experiment with emerging tools, including AI, to improve team effectiveness and actively build data fluency so partners can confidently navigate metrics and insights. What You Need Bachelor’s degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required At least five years of experience in product analytics or data science required; eight or more years of experience preferred At least five years of experience with SQL for analysis in modern data environments required At least five years of experience with Python and data science tool kits (e.g., pandas) required Experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights required Strong statistical intuition, analytical rigor, and experience validating data and performing quality checks required High fluency with MPP databases such as Snowflake or Redshift required Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred A commitment to working on-site at Gallup’s Omaha office at least three days per week required About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $135,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KW1", "summaryDescription" : "Senior/Staff Data Scientist, Product Analytics at Gallup", "postedDate" : "2026-06-16T03:17:26.320", "createdAt" : "2026-06-16T03:17:26.320", "lastUpdated" : "2026-06-16T14:10:48.359", "ingestTimestamp" : "2026-06-16T03:17:26.320", "mongoId" : "6a30a1e0f292fd229c116c59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 845.72314, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a914e74d8ee00a068dc40", "title" : "Analytics Manager, Marketing Analytics", "company" : "Wolt", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics Manager in E-Commerce in Berlin, Germany, adjusted for manager seniority and full-time employment." }, "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany", "Helsinki", "Finland", "London", "United Kingdom", "Stockholm", "Sweden" ], "timestamp" : "2026-06-14T22:11:03.932", "fingerprint" : "b448fe58cd4818db8868d043fcdf0ee24ec1114838113d97237114c76145e29f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wolt/jobs/7992265", "externalId" : "7992265", "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "city" : "Helsinki", "country" : "Finland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "60.1666204,24.9435408" }, { "city" : "Stockholm", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.3251172,18.0710935" }, { "country" : "Germany", "continent" : "eu", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "country" : "Finland", "continent" : "eu", "workMode" : "remote" }, { "country" : "Sweden", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Berlin, Germany; London, United Kingdom; Helsinki, Finland; Stockholm, Sweden; Germany; United Kingdom; Finland; Sweden", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Marketing strategies", "Business partnership", "Project management" ], "hardSkillsList" : [ "Data Analytics", "Data Science", "Statistical analysis", "Marketing analytics", "Measurement concepts" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data Analytics", "level" : "intermediate" }, { "name" : "Data Science", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Measurement concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Data science, Leadership", "majorSkillsList" : [ "Marketing analytics", "Data science", "Leadership" ], "coreResponsibilities" : "Define analytics roadmap, Prioritize business questions, Ensure work leads to clear decisions, Shape the future of initiatives, Define key performance indicators, Monitor key performance indicators, Brainstorm growth investment opportunities, Establish marketing investment framework, Lead team of Data Scientists, Coach team of Data Scientists, Develop team of Data Scientists, Improve marketing decisions, Improve marketing outcomes", "teamCollaboration" : "Cross-functional teams; Senior business leaders; Product leaders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Marketing analytics; Experimentation; Attribution; Media mix modeling; Marketing measurement", "domainList" : [ "marketing-analytics", "experimentation", "attribution", "media-mix-modeling", "marketing-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Experimentation", "Attribution", "Media mix modeling", "Marketing measurement" ], "communicationSkills" : "Clear communication; Business partnership", "innovationCreativity" : "0-to-1 growth investment opportunities", "problemSolvingSkills" : "Analytical work", "outcomesObjectives" : "Turn analytical work into decisions; Turn analytical work into actions; Turn analytical work into measurable impact", "qualificationsBasic" : "6+ years of experience in Data Analytics or Data Science, 2+ years of leadership experience, Experience in leading large teams, Expertise with SQL, Statistical analysis using Python, R, or equivalent, Understanding of experimentation, Understanding of attribution, Understanding of media mix modeling, Understanding of marketing measurement concepts, Clear communication skills, Business partnership skills", "qualificationsPreferred" : "Experience in hiring and mentoring skilled members for data science teams, Pragmatic approach to applying marketing measurement concepts to business decisions", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We’re looking for an experienced Analytics Manager to join Wolt in Berlin, Stockholm, Helsinki, or London! About the Marketing Analytics team In the Marketing Analytics team, we are focused on improving the effectiveness of our marketing spend and boosting Wolt’s growth. We work across a broad set of marketing questions, helping teams understand what is working, where to invest, and how to improve marketing performance across Wolt. We partner with Marketing, Product, and Strategy & Operations teams closely to guide measurement and tactical decision-making using advanced analytics. Considering the scale of Wolt’s marketing function, there are many exciting problems to be solved and plenty of opportunities to make a business impact! You’ll be part of this team working with top Data Science and Analytics Engineering professionals. As we grow the next level of maturity in Marketing Analytics, you’ll help shape the roadmap, develop the team, and build the operating rhythm that turns analysis into better business decisions. What you’ll be doing As an Analytics Manager at Wolt, you are essential in revolutionizing our marketing strategies. You’ll define the analytics roadmap for the team, prioritize the most important business questions, and ensure the work leads to clear decisions and follow-through. Acting as a critical partner to senior business and product leaders, this role will drive the Marketing domain forward, shaping the future of our initiatives. Key responsibilities include defining and monitoring key performance indicators to gauge the effectiveness of innovative marketing initiatives. The role offers an exciting opportunity to brainstorm 0-to-1 growth investment opportunities and establish the foundation for our marketing investment framework. You’ll lead, coach, and develop a team of Data Scientists, helping them stay close to the business and deliver work that improves marketing decisions and outcomes. Success in this role requires exceptional leadership and project management skills, along with strong communication and interpersonal abilities. Collaborating effectively with cross-functional teams will be crucial in fostering a culture of shared success and innovation. This position offers a thrilling opportunity to shape the future of growth at Wolt! Our humble expectations 6+ years of experience in a Data Analytics or Data Science position, with 2+ years of leadership experience. Experience in leading large teams (5-10 direct reports) Prior experience in hiring and mentoring skilled members for your data science teams. Expertise with SQL and statistical analysis using Python, R, or equivalent. Strong understanding of experimentation, attribution, media mix modeling, and marketing measurement concepts, with a pragmatic approach to applying them to business decisions. Clear communication and strong business partnership skills, with a track record of turning analytical work into decisions, actions, and measurable impact. What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics! You can choose the location from our tech hubs in Berlin, London, Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Germany, the UK, Finland or Sweden. \uD83D\uDC99 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.", "summaryDescription" : "Analytics Manager, Marketing Analytics at Wolt. Skills: Marketing analytics, Data science, Leadership. Define analytics roadmap. 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At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-16T03:34:20.306", "lastUpdated" : "2026-06-16T12:11:05.693", "ingestTimestamp" : "2026-06-16T03:34:20.306", "mongoId" : "6a308ec6f292fd229c0a5233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 843.77704, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f24f292fd229cee57da", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T04:35:28.813", "fingerprint" : "ef3e0f9d2b5464e255e116bd3a61dd5dcef426cbad4f6ace0c77ac76fc5ab58b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving, Participate in root cause analysis, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-15T21:31:38.376", "lastUpdated" : "2026-06-16T04:35:28.813", "ingestTimestamp" : "2026-06-15T21:31:38.376", "mongoId" : "6a304f24f292fd229cee57da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 843.77704, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 174749, "totalPages" : 3495, "hasNext" : true, "hasPrevious" : false } }

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