Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Design, build, and own scalable ETL/ELT pipelines, data models, and data infrastructure. Improve data quality, observability, performance, and CI/CD for data workflows. Partner with analytics, ML, software, and product teams, mentor engineers, and resolve complex data issues.

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.

Lead analytics workstreams to extract insights from large datasets, build dashboards and predictive models, manage project planning and delivery, mentor teams, and collaborate with stakeholders to implement data-driven solutions and maintain data integrity.

Lead strategic insights and ad measurement projects, analyze complex datasets, craft narratives connecting brand lift to business outcomes, partner with clients and cross-functional teams, and drive process improvements and customer-facing recommendations.

As a Traffic Quality Analyst, you will analyze data to detect invalid traffic, develop detection models, investigate malicious activities, and ensure compliance with ad standards. You'll collaborate with product and engineering teams to improve anti-fraud systems and educate stakeholders on inventory guidelines.

Design and govern enterprise semantic models in Microsoft Fabric and Power BI, author complex DAX and queries, enable NLQ/Copilot and AI integrations, coach report developers, lead stakeholder requirements, and implement governance, performance optimization, security, and AI-readiness across reporting domains.

Lead end-to-end post-campaign measurement for CTV advertising, delivering Brand Lift, Incremental Reach, and lower-funnel analyses. Translate complex datasets into clear client-facing insights, manage multiple campaigns, and drive scalable measurement through process improvements and partnerships with product and technical teams.

Support analytics for a large multi-product client: implement measurement frameworks, run test-and-learn programs, validate data, analyze attribution/brand lift/MMM outputs, produce dashboards and actionable insights, and mentor analysts while coordinating with cross-functional and data partners.

The BI Manager leads data analytics by managing a BI team, collaborating with stakeholders, overseeing data architecture, and enhancing reporting processes.

Own ingestion, transformation, validation, and normalization of clinical and EHR data pipelines (HL7 v2, FHIR, CDC) into performant Snowflake and MySQL schemas. Build and monitor AWS-based pipelines, ensure data quality and PHI-compliant handling, and support downstream ML and application needs across enterprise integrations.