Top Hybrid Data & Analytics Jobs in Los Angeles, CA

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Lead digital measurement and analytics for ecommerce: build measurement frameworks, run attribution and predictive models, drive A/B testing and personalization, produce executive dashboards and actionable insights, partner cross-functionally to improve conversion, retention, and LTV.

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.

As a Senior Data Engineer, you will design and operate data transformation pipelines, workflows, and AI-assisted data visualization tools, collaborating with an experienced team.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The PostgreSQL Database Developer will manage the migration from Oracle to PostgreSQL databases, ensure system performance, monitor databases, and maintain technical documentation.

As a Data Analyst, you'll clean and analyze survey data, use statistical software, automate procedures with programming, and communicate findings effectively.

Support analytics for a large multi-product client: implement measurement frameworks, run test-and-learn programs, validate data, analyze attribution/brand lift/MMM outputs, produce dashboards and actionable insights, and mentor analysts while coordinating with cross-functional and data partners.

The BI Manager leads data analytics by managing a BI team, collaborating with stakeholders, overseeing data architecture, and enhancing reporting processes.

Lead a team owning master data governance for customers, products, and suppliers across SAP S/4HANA and integrated systems. Establish data standards, policies, and workflows; drive cross-functional initiatives, oversee ticketing and SLAs, perform root-cause analysis, and support PLM/IBP integrations while coaching and developing staff.