Top Data & Analytics Jobs in Los Angeles, CA

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.

The Senior Manager of Data Engineering will build a data platform, lead a team, and ensure data accessibility to support AI and business operations.

The Solutions Data Engineer will manage data integrations end-to-end, utilizing FloQast's Data Platform and Data Studio to connect source systems and transform data for reliable outputs across applications.

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.

The Sr. Analyst in Pricing Analytics drives data-driven strategies for GoodRx by analyzing pricing, collaborating with cross-functional teams, and developing dashboards to support business decisions.

Lead data onboarding, validation, and vendor management for the Marketing Data Platform. Define requirements, run UAT, develop Databricks/SQL analyses, build and deploy AI-enabled no-code/low-code solutions, ensure data quality and regulatory compliance for consumer outreach programs.

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.

The Analytics Engineer develops data models and KPIs, ensuring data reliability for decision-making while collaborating across multiple departments at Crexi.

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

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.