Top Data & Analytics Jobs in Los Angeles, CA

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

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.

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.

Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.

Lead and build the Finance Business Intelligence function: set multi-year BI strategy, hire and develop engineers, data scientists, and analysts, deliver predictive models and AI-augmented finance analytics, establish governance and authoritative metrics, partner with Finance and CTO on tooling and data platform decisions, and operationalize intake and delivery for high-velocity, trusted finance intelligence.

Perform healthcare economic analyses by building databases, statistical models, SQL/Python queries, and dashboards. Translate complex clinical and financial data into actionable recommendations, present findings to stakeholders, and support data governance and performance metric development.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.