Top Data & Analytics Jobs in San Diego, CA

Optimize the insurance platform through partner performance management, data analytics, dashboards, integrations, and process improvements. Liaise with BGAs, carriers, and internal teams to improve advisor experience, placement rates, and operational efficiency while supporting technology rollouts, marketing coordination, and strategic platform expansion.

The role involves architecting data solutions in Azure's Big Data environment, focusing on integration and understanding of Big Data technologies.

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.

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.

Process and code charitable gifts in Blackbaud Raiser’s Edge NXT, maintain constituent data integrity, produce reports and mailing lists, generate donor acknowledgments, reconcile with Finance, perform data audits, and support fundraising analytics and compliance.

Lead end-to-end BI solution design and delivery using Cognos. Drive BI architecture, gather and document reporting requirements, train stakeholders on self-service reporting, and collaborate with DWH, ETL and BI teams. Work with Oracle DW and Informatica and follow SDLC/ITIL processes.

Design, build, and maintain ETL/ELT data pipelines and data models from SQL Server, PostgreSQL, SaaS, and internal apps. Ensure data quality, monitor ingestion, optimize Snowflake performance, collaborate with stakeholders to deliver dashboards and analytics, and recommend data architecture improvements.

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.

Design and implement enterprise data architecture, models, and pipelines; collaborate with stakeholders to translate requirements into data solutions; lead technical assessments for digitizing business functions; ensure data governance, quality, security, and provide architectural recommendations across teams.