Top Hybrid Data & Analytics Jobs in Los Angeles, CA

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.

Use advanced analytics, data manipulation, visualization, and statistical modeling to extract insights from large datasets, support clients, build relationships, and deliver data-driven recommendations while developing technical and leadership skills.

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.

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.

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.

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.

Manage and scale paid media campaigns for gaming clients, optimize user acquisition strategies, and deliver insights to stakeholders.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Lead A+E's first-party customer data strategy and Analytics Engineering to build a composable CDP and identity infrastructure. Define audience use cases, activation pipelines into Iterable/Adobe, ROI/KPI frameworks, and integrate owned signals with paid media measurement. Partner cross-functionally to embed first-party data into marketing, product, and revenue decisions while ensuring privacy and scalable data governance.