Top Data & Analytics Jobs in San Diego, CA

The Data Architect & Strategy Lead will assess and optimize data operations, manage MongoDB performance, and implement modern data architecture and strategies, ensuring system reliability and performance.

The Principal Business Analyst will lead policy administration implementations, translate business requirements, analyze regulatory updates, and support scalable insurance solutions, ensuring compliance and operational efficiency.

The Databricks Architect will design and implement scalable data and analytics platforms, optimize data pipelines, and mentor team members while ensuring alignment with business goals.

The OneStream Developer will design and implement financial management solutions, develop data integrations and support testing, while collaborating with technical teams and stakeholders in federal environments.

The Integration Specialist II leads the design and support of software integrations and tools, collaborating with various teams to enhance business efficiency.

The Energy Storage Market Analyst will support production cost modeling and operational assessments for utility-scale renewable energy projects, utilizing tools like AURORA and PowerBI while analyzing transmission market dynamics.

Lead renewables power market analyst responsible for production cost modeling, transmission analysis, and mentoring junior staff in utility-scale renewable projects.

The eCommerce Ads & Performance Analyst manages and optimizes paid advertising campaigns across platforms, analyzes performance metrics, and provides data-driven recommendations for improvements.

The Pricing Analyst drives profitability through data-driven strategies, manages pricing execution, conducts competitive analysis, and optimizes margins while collaborating with cross-functional teams.

The Analytics Manager will manage client relationships, oversee survey projects, analyze data on AI public opinion, and bridge technical and non-technical communication.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.