Top Senior Analysis Reporting 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.

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 Associate Director leads analytics and insights for Oncology, providing data-driven strategies, performance analytics, and market research to inform decisions and improve patient outcomes.

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.

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

The Business Intelligence Specialist analyzes data to drive business insights, develops reporting solutions, and collaborates with cross-functional teams. This role involves data management, reporting enhancements, and providing analytical support to improve business processes and profitability.

The Senior Manager, Principal Business Analyst will serve as a technology bridge in R&D, focusing on the deployment and integration of scientific data platforms while leveraging AI for improvements in lab workflows and productivity.

The role involves leading scalable data engineering efforts, building ETL pipelines, managing data lakes, and ensuring data integrity for actionable insights across the business.