Top Senior Data & Analytics Jobs in San Diego, CA

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

Design, build, and maintain scalable data platforms and ETL/ELT pipelines using Databricks/Spark and AWS. Develop backend data services in C#/.NET, ensure data quality and performance, leverage AI-assisted coding tools, collaborate with cross-functional teams, lead technical design decisions, and mentor engineers.

The Senior Analyst will generate insights across global tech sectors, conduct research, develop financial models, and communicate investment recommendations to drive portfolio strategies.

The Associate Director will lead commercial forecasting and market insights for RayzeBio's assets, integrating data from market research and competitive intelligence to inform strategic decisions. They will also design research studies, conduct data analyses, and communicate insights to senior stakeholders across the organization.

The Director of Data Engineering leads the data engineering team, designs scalable data infrastructure, ensures data quality, and collaborates with cross-functional teams to drive data initiatives.

The Principal Data Architect will lead the evolution of the company's data platform, managing data architecture, modeling, governance, and optimizing cloud environments to support complex e-commerce data analysis.

The Network Business Analyst IV analyzes complex business systems, defines user requirements, and manages projects while ensuring software meets business needs.

Manage operations for client engagements in life sciences, providing project leadership, enhancing data processes, and managing client relationships. Lead diverse teams and ensure high-quality deliverables on time and within budget.

The Commercial Analytics Analyst collaborates with Sales and other stakeholders to deliver analytics solutions, insights, and recommendations driving revenue growth and sales effectiveness. Responsibilities include creating dashboards, analyzing data, and leveraging AI for improvements.

Lead design, development, validation, and documentation of SAS statistical programs for clinical and nonclinical studies. Provide technical leadership, oversee vendors, support e-submissions, mentor programmers, and manage projects to ensure regulatory-compliant deliverables.