Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Leads the strategic direction of data initiatives, governance, analytics, and decision-making frameworks. Establishes growth and innovation strategies, oversees transformative data projects, maintains executive client relationships, mentors future leaders, fosters creativity, collaborates across departments, supports business development, and ensures adherence to professional data management standards.

The Senior Insights Manager analyzes campaign data, delivers actionable insights, engages with customers, and collaborates across teams to optimize performance and achieve business goals.

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.

Interpret customer contracts, coordinate with internal teams to produce and review accurate reports and analyses, ensure compliance with customer requirements, provide stakeholder support, and meet reporting deadlines.

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.

The Power BI Developer will build enterprise data models, develop and publish reports and dashboards, assist users with data requirements, and work on Azure technologies to support government initiatives.

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.

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.