Top Data & Analytics Jobs in San Diego, CA

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

The role involves leading analytics for product and marketing, defining measurement strategies, running experiments, and developing predictive models to optimize growth and performance.

Provide production support and enhancements for SAP BW/BOBJ/HANA and EUNA Budget environments. Develop and optimize BW data models, queries, reports, and integrations (including Snowflake and Power BI). Troubleshoot production issues, perform impact analysis, and provide architectural guidance for reporting, analytics, and budget planning solutions.

Operate and maintain recurring reports, dashboards, queries, extracts, and automation scripts. Execute batch jobs, validate and reconcile data outputs, support AI/cloud readiness and firmwide data requests, maintain runbooks and documentation, and ensure compliant, reliable data operations while escalating issues as needed.

Designs, builds, and maintains scalable batch and streaming data pipelines, data warehouses/lakes, and ETL/ELT processes. Collaborates with BI, Data Science, and Architecture teams to model data, validate sources, ensure data quality, optimize performance, and enable analytics using cloud and big-data technologies (AWS, Snowflake, Databricks, Spark, Kafka).

The Associate Director will manage clinical data flow into the data warehouse, ensuring data integrity, compliance, and coordination with clinical operations for effective clinical trials and research efforts.

This role involves leading data-driven projects in the pharmaceutical and life sciences sectors, collaborating with teams, and delivering insights through advanced analytics and technology.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

Responsible for designing, building, and maintaining real-time data ingestion pipelines, ensuring reliable data flow and quality for operational decisions.

Design and maintain data models and pipelines to analyze labor markets, commuting, and real estate strategies. Build causal inference models, create dashboards and spatial analyses, quantify financial impacts, manage client engagements, support business development, and mentor junior analysts.