Top Data & Analytics Jobs in San Diego, CA

The Senior Staff Demand Planning role involves designing and deploying AI/ML-driven capacity forecasting models, collaborating with cross-functional teams, and enhancing forecasting accuracy for infrastructure capacity planning.

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

As a Senior Associate, assist clients with cloud data strategies, implement cloud data architectures, and collaborate with teams to drive business results using data analytics.

The Transactional Quantitative Analyst will conduct quantitative analysis to assist clients with venture capital and M&A transactions, including model development and auditing tasks.

The Performance Guarantee Analyst ensures data integrity and compliance in operational reporting, manages data collection and analysis, and oversees financial assessments and reporting systems.

The PG Reporting and Financial Analyst manages client reporting operations, prepares analytics on performance guarantees, ensures accuracy, interacts with internal units, and develops reporting solutions.

The Cloud FinOps Specialist analyzes and optimizes cloud costs, develops reporting pipelines, and collaborates with engineering teams to enhance cost efficiency and reliability.

As an Assistant Manager, you will enhance reporting and automation in data management, integrate AI and automation, and optimize workflows through data insights.

Oversee clinical data management for global trials, ensuring quality and compliance. Lead teams, manage timelines, and mentor junior staff.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Senior Scientist will develop data pipelines, analyze multimodal safety data, implement statistical models, and collaborate with multidisciplinary teams. Responsibilities include data management and visualization, alongside integration and interpretation of study outcomes to advance therapeutic solutions.