Top Data & Analytics Jobs in San Diego, CA

Lead design, planning, execution, and quality oversight of clinical trial data management (Phase I-IV). Manage CROs and vendors, ensure EDC/eCRF/ CDM standards, support database locks/snapshots, collaborate with Biostatistics/Programming and other functions, and maintain regulatory-ready documentation for submissions.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Web Scraping Specialist will extract data from websites, optimize scraping processes, and manage data integrity, ensuring high-quality outputs.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

Support and advance rating tools, conduct technical analyses for insurance pricing, manage portfolio performance, and mentor junior analysts.

Manage insights for CPG clients using POS, consumer, and e-commerce data. Build actionable reports and dashboards, and support client relationships and training.

The Product Sales Data Analytics Specialist will develop data pipelines, build dashboards, monitor data quality, and present analytics insights to stakeholders, influencing business decisions.

The Business Operations Analyst will centralize and improve corporate reporting and business intelligence while executing data acquisition for patient data initiatives. Responsibilities include metric compilation, dashboard design, and data analysis across multiple teams.

The Director of Machine Learning Science will lead teams in delivering ML solutions, drive innovation in search and personalization, and engage with engineering and product teams.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.