Top Analytics Jobs

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and drive data-informed decisions and outcomes. The role requires independent data work, strong problem-solving, stakeholder influence, and end-to-end ownership of ambiguous initiatives.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface actionable insights; and influence stakeholders’ decisions. The role requires independent data work, strong analytical judgment, clear communication, and ownership of ambiguous, high-impact initiatives.

Supports People Analytics initiatives by collecting, validating, analyzing, and visualizing workforce data. Develops dashboards, reports, scorecards, and AI-enhanced analytics solutions; prepares data, maintains quality, and communicates insights to HR and business leaders. Collaborates with HRIS, Talent Acquisition, and global stakeholders on reporting automation and HR technology improvements while protecting data privacy and confidentiality.

Manage credit card strategy and analytics, including risk management, targeting optimization, reporting, strategy validation, segmentation, modeling, and ad hoc analysis. Use SQL, SAS, Python, and analytical software to develop and execute strategies, automate reporting, maintain data quality, and present insights to management. The role supports loss mitigation and portfolio growth through data-driven recommendations and cross-functional project execution.

Aggregates enterprise data, builds advanced financial models, and delivers analytics, dashboards, reports, and executive insights supporting growth initiatives. Develops conversational and workflow agents using Claude, Microsoft Copilot Studio, Snowflake, and Salesforce; automates reporting and data distribution; and partners with stakeholders to define requirements. The role leads analytical projects from ideation through executive presentation and supports forecasting, advisor economics, growth ROI, and operational efficiency initiatives.

Lead PMG’s analytics organization across clients, industries, and regions. Define the analytics capability roadmap, scale teams, guide senior client relationships, and align measurement strategies with business objectives. Oversee attribution, incrementality, reporting, experimentation, and data architecture while partnering cross-functionally. Manage Director-level leaders, succession planning, performance processes, governance, and thought leadership. Use AI, automation, and emerging analytics technologies to improve efficiency, decision-making, and marketing performance.

Lead advanced analytics initiatives by analyzing structured and unstructured customer data, developing statistical insights, dashboards, reports, and data-driven recommendations. Partner with cross-functional teams and organizational leaders to guide prioritization and improve customer experiences. The role requires experience with SQL, Python or R, Tableau or Power BI, big data platforms, and analytical storytelling. Experience with digital interaction data, AI, generative AI, and automation is preferred.

Transforms ecommerce and consumer data into actionable insights through performance reporting, SQL/Python analysis, dashboards, experimentation, and measurement strategy. Partners with product, marketing, merchandising, UX, engineering, and data teams to improve customer experiences and business outcomes. Maintains tracking methodologies, supports personalization and A/B testing, contributes to analytics roadmaps, and serves as an internal web analytics subject matter expert.

Leads advanced analytics for Mattel’s direct-to-consumer ecommerce business, including statistical modeling, experimentation, performance measurement, predictive analysis, SQL-based data work, dashboard development, and data storytelling. Partners with engineering, product, marketing, merchandising, and technology teams to improve data architecture and decision-making. Mentors analysts, establishes analytics best practices, and supports consumer behavior, marketing effectiveness, and ecommerce growth initiatives.

Lead strategic analytics across the Our Brands portfolio, connecting customer, market share, sales, and profit data to drive business results. Partner with merchandising, pricing, promotions, and analytics leadership to establish category-review best practices. Oversee analytical tracking, deep-dive methodology, reporting, process implementation, compliance, continuous improvement, and training. Troubleshoot category roadblocks, coach analysts, and supervise direct reports while advising senior leaders and ensuring performance management.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

Leads marketing campaign measurement and analytics to evaluate campaign effectiveness, optimize performance, and maximize ROMI. Uses SQL, SAS, visualization tools, and advanced analytics to deliver actionable recommendations, present insights to senior stakeholders, drive adoption of measurement tools, manage projects, and mentor team members. Partners cross-functionally with marketing, analytics, and finance teams across geographies.

Lead GTM analytics across performance measurement, channel economics, data governance, forecasting, planning, and executive reporting. Own metric definitions, data standards, analytical priorities, and business requirements while partnering with Marketing, Data Science, Finance, RevOps, and Engineering. Analyze funnel, attribution, CAC, payback, conversion, retention, pipeline, and territory performance, translating findings into investment recommendations and strategic decisions for senior leadership.

Lead North American supply chain analytics by evaluating performance against forecasts and operating plans. Apply optimization, simulation, statistical analysis, data mining, and AI-enabled tools to improve reporting, forecasting, and decision-making. Conduct root cause analysis, drive continuous improvement, and translate complex operational and financial data into recommendations for senior and C-suite leaders. Partner cross-functionally to automate analytics and strengthen supply chain planning and performance.

The Product Analytics Manager analyzes product, merchandising, and assortment performance across channels and markets. Responsibilities include developing lifecycle models, evaluating newness and assortment productivity, creating analytical frameworks and reporting tools, maintaining an ETL-enabled analytics sandbox, improving product data quality, and automating recurring analyses. The role partners with merchandising, planning, strategy, data engineering, business intelligence, and analytics teams to translate data into commercially relevant decisions.

Analyze SKU counts, item-level profitability, design productivity, and pricing across toy products. Build SQL queries and Sigma dashboards, identify margin risks and SKU rationalization opportunities, support new item planning, and communicate actionable insights to nontechnical Brand Operations and marketing stakeholders.

Supports provider business development through bundled-payment pricing analytics, financial modeling, and strategic analysis. Builds and refines analytical tools and datasets, develops models for new healthcare bundles, supports provider negotiations, and partners with data science and engineering teams on optimization and data infrastructure. Requires healthcare knowledge, quantitative skills, cross-functional collaboration, and the ability to manage multiple priorities in a fast-paced remote startup environment.

Leads fraud analytics and fraud-vendor solution implementation across the enterprise. Identifies emerging fraud patterns, develops detection models, metrics, rules, scenarios, and controls, and applies statistical and data-mining techniques to mitigate risk. Partners with Fraud, Product, Technology, and business leaders, supports strategic initiatives, presents actionable insights, manages implementation, and serves as a subject matter expert in fraud data, modeling, governance, and criminal risk mitigation.

Leads advanced analytics strategy and delivery, including data preparation, statistical and machine learning model development, experimentation, validation, pricing analysis, and presentation of actionable insights. Partners with business stakeholders to identify opportunities, ensures analytical quality and automation, and builds and manages a high-performing analytics team. Requires leadership experience, advanced quantitative methods, large-scale database work, and proficiency with SQL, SAS, R, Python, and related tools.

Performs advanced SQL analysis of large datasets to evaluate marketing ROI, campaign and channel performance, customer behavior, attribution, retention, and conversion. Develops KPIs, dashboards, business cases, experiments, and analytical recommendations while identifying data quality issues. Partners with Marketing, Analytics, Data Engineering, Product, and Technology teams and communicates findings to technical and business stakeholders.

The posting identifies an Associate Director role focused on process data analytics at a cell and gene therapy company, but provides no specific responsibilities, qualifications, technologies, travel requirements, or clearance requirements.

Leads the commercial analytics function, developing advanced analytics frameworks, performance metrics, dashboards, forecasts, and strategic insights. Partners with senior leadership and cross-functional teams to optimize sales performance, resource allocation, commercial strategy, and operational efficiency. Oversees data quality, competitive analysis, sales compensation planning, analytical tools, and direct-report performance while promoting data-driven decision-making across the organization.

Analyze and transform complex audience and marketing data into actionable insights. Responsibilities include developing audience strategies, evaluating acquisition opportunities, building testing frameworks, writing advanced SQL, maintaining ETL workflows, conducting analyses, visualizing results, and presenting findings to technical and non-technical stakeholders. The role collaborates cross-functionally to support growth marketing and optimize channel performance.

Provides advanced decision science and analytics support across life, health, and annuity insurance. Gathers, transforms, and analyzes disparate data using statistical and quantitative methods; develops insight-to-action recommendations, visualizations, and executive presentations; documents methodologies and validation; and partners with product, underwriting, sales, and leadership teams to influence strategy and business outcomes.

The Senior Associate, Analytics develops and manages digital media analytics projects, structures data and queries, builds spreadsheets and visualizations, and translates findings into clear client recommendations. The role requires project ownership from planning through delivery, stakeholder communication, and experience with media buying platforms, ad servers, SEO, demand-side platforms, market mix modeling, Excel, SQL, and visualization tools.