Top Analysis Reporting Jobs in San Diego, CA

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

As a Deployment Strategist, you'll analyze customer data needs, integrate datasets, build workflows, and train users to enhance their decision-making capabilities using Palantir's software offerings.

The Portfolio Chief Engineer will lead design and implementation of Data and Analytics Systems, working with customers and engineering teams to generate innovative solutions, engage in business development, and ensure technical excellence in large-scale information management.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

Client-facing data analyst who researches questions, combines multiple data sources, builds dashboards and visualizations, automates tasks with scripts, develops metrics and reports to inform enterprise software/hardware and procurement decisions, and supports program reporting for the Navy.

Lead marketing analytics and measurement strategy, build democratized dashboards and audience architecture, translate insights for executives, manage analysts and offshore delivery, align cross-functional teams, steward data ethics, integrate MarTech roadmap, and deliver impact reporting to optimize spend and drive firm growth.

Lead design and operation of scalable marketing data pipelines, ensuring secure ingestion, immutable raw data, transformations, canonical models, monitoring, and data quality. Manage and scale distributed engineering teams, establish runbooks and standards, and partner with analytics, governance, and MarTech to drive automation and AI adoption.

Build, maintain, and optimize Python-based ETL pipelines and Azure SQL Server data warehouse; integrate EHR/CRM/HR/call center feeds; ensure HIPAA-compliant data handling; debug production issues; extend AI agents; ship version-controlled improvements.

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.