Top Senior Data & Analytics Jobs in San Diego, CA

Lead scientific advisor applying advanced statistical modeling, research design, and program evaluation to human performance and behavioral science initiatives. Design and oversee complex studies, develop mathematical models, interpret data, produce actionable insights for leadership, support strategic planning and measures of effectiveness, and provide technical guidance across enterprise programs.

Seeking a Senior ETL/Informatica Developer with 5+ years of experience in production support and BI applications development, specifically Financials and HR Analytics. Knowledge of Data Warehousing and data modeling is essential. Cognos experience is a plus.

Seeking a Systems Analyst with 7+ years of experience in Oracle EBS Finance modules, specifically in AP, AR, GL, and Cost Management. Strong skills in procurement, communication, and teamwork are required.

Lead a team of data engineers to build, operate and optimise end-to-end data pipelines and platform components. Own delivery, production operations, monitoring, incident response, cost/performance, and engineering standards. Line-manage, hire, and develop engineers while partnering with product, modelling, governance and platform teams. Ensure regulatory, security, auditability, and governance requirements are met for data products and certified reporting.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Director of Data Engineering leads the development of data platforms to support analytics in cancer care, overseeing architecture and engineering while mentoring a team.

Lead implementation of active portfolio management for US Wholesale & Specialty. Bridge analytics, underwriting, actuarial, and claims to deliver actionable insights, prioritize analytics projects, monitor performance, enable underwriting adoption, and drive pricing and portfolio improvements to optimize risk selection and reduce loss ratios.

The Staff Data Scientist analyzes customer funnel performance and designs frameworks to improve conversion rates and operational efficiency. Responsibilities include partnership with various teams, supporting experimental initiatives, and translating insights into actionable strategies.

Lead marketing analytics and measurement strategy, build democratized dashboards and audience architecture, translate insights for executives, manage analysts and offshore delivery, align cross-functional teams, steward data ethics, integrate MarTech roadmap, and deliver impact reporting to optimize spend and drive firm growth.

The Director of Data Engineering leads the data engineering team, designs scalable data infrastructure, ensures data quality, and collaborates with cross-functional teams to drive data initiatives.