Top Data & Analytics Jobs in Los Angeles, CA

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.

Design and own end-to-end data models and dbt transformations on BigQuery, maintain the semantic layer in Lightdash, govern metrics, enable AI-assisted analytics workflows, partner with stakeholders to deliver trusted reporting, and lead data modeling standards, testing, and documentation.

Design, build, and maintain scalable data pipelines and analytic platforms using Snowflake and modern ETL tools. Work with healthcare datasets (claims, authorizations, eligibility, provider, member, clinical), ensure data quality and HIPAA compliance, optimize queries, support data modeling, and collaborate with stakeholders on technical solutions and documentation.

Lead design and delivery of end-to-end MDM solutions, manage client engagements and teams, ensure data quality and governance, mentor staff, align MDM implementations with business processes, and drive innovation in data management practices.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, drive product data strategy and integration with data quality, mentor and manage a team, support business development and client engagement, and improve product data taxonomies and lifecycle processes to align with organizational objectives.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, ensure product data quality and integration, drive business development and client engagement, mentor team members, improve processes and productivity, and align product data management with organizational objectives.

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 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.

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 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.