Top Data & Analytics Jobs in San Diego, CA

As a Unifier Database Administrator at AECOM, you will manage data, troubleshoot issues, support clients, and assist with data management projects.

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.

Lead the design and development of scalable business intelligence and analytics solutions for decision making in research and development at Neurocrine. Collaborate with various stakeholders to translate complex questions into actionable insights and dashboards.

Manage travel demand modeling projects, oversee deliverables, mentor staff, and develop innovative forecasting solutions for multimodal transportation systems.

The Data Administrator maintains data integrity and compliance, oversees health plan submissions, conducts eligibility checks, and provides reporting and insights for organizational operations.

Design and implement scalable data architecture and storage (cloud/on-prem), build and maintain ETL pipelines, enforce data governance and security, ensure data quality, evaluate technologies, collaborate with analysts and data scientists, and document data assets.

Lead design and implementation of scalable data architectures using Capsenta. Build and maintain data models, ontologies, and graph databases; manage databases; integrate data sources; optimize performance; enforce data governance; document solutions; collaborate with engineers and stakeholders; and stay current on semantic and knowledge-graph technologies.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

The Senior Manager, Clinical Data Management will oversee data management activities, ensuring data accuracy, coordinating study tasks, and managing relationships with CROs and vendors while utilizing clinical systems and AI tools for efficiency.

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