Top Data & Analytics Jobs in San Diego, CA

Partner with Data & Analytics teams and enterprise stakeholders to develop and communicate data strategy, governance, and data literacy programs. Design curriculum, define policies and standards for metadata, data quality, lineage and access, manage stakeholder relationships, and create product requirements and best practices for data tooling.

The Principal Technical Product Analyst will strategize and enhance observability and AIOps capabilities, promote insights into operational efficiency, and lead cross-functional collaboration while ensuring standards and frameworks are established.

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.

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.

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

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.