Top Senior Data & Analytics Jobs

The Analyst will manage eCommerce content syndication, ensuring product information is accurate for retailer platforms while supporting cross-functional teams.

The Director of Quantitative Research leads a team in developing quantitative models for private market insights and analytics. Responsibilities include setting research strategy, mentoring talent, ensuring data integrity, and collaborating with various teams to deliver actionable insights to clients.

The Senior Data Analyst develops insights supporting business decisions through performance reporting and marketing analytics, leveraging large datasets.

The Senior Business Insights Manager translates complex data into actionable insights and narratives for commercial decisions, identifying growth opportunities and ensuring data accuracy across stakeholders.

The Lead Platform Data Engineer will design data architecture, develop scalable workflows, ensure data quality, and mentor teams in modern DataOps practices.

The role includes leading financial data architecture and BI systems, automating processes, and driving operational excellence through analytics in healthcare.

The Senior Product Analyst will analyze user interactions and metrics to optimize renter experiences through data-driven insights, collaborating with cross-functional teams to inform product strategies and facilitate features supporting partner journeys.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

As a Client Engagement Specialist/SQL Developer, you'll bridge client needs with technical solutions, delivering accurate, scalable database and CRM solutions while collaborating with internal teams and ensuring data integrity.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.