Top Data & Analytics Jobs in Los Angeles, CA

Lead digital measurement strategy for web and digital marketing. Build and maintain dashboards, integrate multi-platform data, perform tagging QA, run A/B test analyses, and deliver insights to optimize campaign effectiveness, UX, and ROAS.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

The Partials Pricing Analyst analyzes market data for pricing, collaborates with teams on RFPs, and proposes solutions to improve processes.

The Business Procedures Consultant II will enhance operational performance in Long-Term Disability by leading reporting, analytics, and process improvements while collaborating with leadership to influence decision-making.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.

Lead enterprise data and analytics strategy and Information Delivery (BI, Data Engineering, Integration, Analytics, Governance). Own end-to-end data lifecycle, operationalize governance and quality, partner with business and AI/ML teams, ensure data security/privacy compliance, and build high-performing data organizations to drive business outcomes.

The Revenue Analytics Manager will analyze customer success and partner analytics, delivering insights to drive retention and revenue growth, working cross functionally with leadership and data teams.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

The Lead Healthcare Analyst will analyze healthcare data to drive program effectiveness, support strategy, and improve patient outcomes, collaborating with various stakeholders.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.