Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead pricing analytics for GoodRx Companion subscription: build forecasting and elasticity models, optimize pricing to drive signups and unit economics, create dashboards and reports, analyze fill patterns, and deliver actionable insights to cross-functional stakeholders to improve program performance.

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.

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

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

The Staff Data Engineer will design and build data pipelines, reports, and tooling for the Concepts Lab, ensuring reliable AI systems and leading data modeling and analytics efforts. The role requires extensive experience in production data systems and collaboration across teams to transition concepts into production.

Support Film & TV Studios analytics by translating stakeholder questions into analytical frameworks, building dashboards and self-service BI, writing advanced SQL, partnering with data engineering for pipelines and data quality, delivering insights through visualization and presentations, and contributing to advanced analytics initiatives including forecasting and ML/AI use cases.

As a Senior Forward Deployed Accountant, you will architect and automate accounting processes, engage with CFOs, troubleshoot technical issues, and drive AI-driven transformation across enterprise accounts.

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.

Support client-facing data and measurement initiatives: scope and execute research projects, analyze campaign results, advise on targeting and measurement, respond to RFPs, and collaborate with sales, account management, and data teams to deliver actionable insights.