Top Hybrid Data & Analytics Jobs

The Pricing Analyst will optimize mortgage pricing strategies to improve profitability, analyze data, collaborate with business leaders, and ensure pricing accuracy.

The Data Engineer II will build and maintain data pipelines and warehouses, ensure data quality, and collaborate with cross-functional teams to support business intelligence and machine learning efforts.

The Senior Associate, Product Solutions will enhance life insurance client experiences through operational improvements, data analysis, and leverage AI in process enhancements.

The Senior Data Analyst will analyze complex data sets, provide end-to-end data solutions, and collaborate with stakeholders to drive business decisions.

Design and implement data cleaning, preprocessing, integration, and quality checks. Develop dashboards and complex visualizations (Tableau/Power BI). Apply AI/ML techniques for unstructured data analysis and provide data engineering support for visualization and analytics.

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal measurement, test-and-learn designs, elasticity and incrementality analyses, and deliver executive-ready recommendations to optimize revenue, margin, and share.

Support Sports Game Science & Insights by analyzing game and business data to produce actionable insights, reports, and visualizations. Translate stakeholder needs into data projects, build scalable self-service tools, benchmark titles, and identify measurement approaches to drive growth and lifetime value.

Design, develop, test, and maintain scalable big data solutions. Lead and mentor engineers, build integrations and APIs, evaluate new tools, participate in design/code reviews, estimate development effort, provide documentation and production support, and work within Agile teams to improve the enterprise big data platform.

Convert shopper and retail environment data into actionable category, retail and customer strategies. Develop consumer selling stories using segmentation, generate behavior-changing insights, curate social intelligence, and drive data-informed recommendations for innovation, communication, and revenue planning. Partner with marketing, sales, customers, and agencies to integrate shopper insights into plans and optimize performance.

Lead portfolio analytics for Enterprise Classified Security by maintaining centralized project views, tracking milestones/risks, developing dashboards and scorecards, monitoring resource utilization, and delivering data-driven insights to stakeholders and leadership to support prioritization, planning, and executive reporting.