Top Retail 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.

The Product Analyst will analyze user behavior, define KPIs, lead A/B tests, and develop dashboards to improve eCommerce performance, collaborating with cross-functional teams globally.

The Senior Business Analyst will lead end-to-end process discovery and define workflows utilizing AI and automation to improve operational efficiency.

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.

Design, build, and modernize enterprise data platforms across SQL Server, Azure, and Microsoft Fabric. Support and tune databases, build ETL/ELT pipelines, implement Azure data services, enable analytics and AI-readiness, automate operations with scripting and CI/CD, monitor performance and reliability, and document platform architecture and procedures.

The Senior Manager, Informatics leads the design and delivery of data solutions to support care management and population health, ensuring data accuracy and generating insights for decision-making.

The Data Analyst II will manage and analyze international partner and wholesale data, build dashboards, and collaborate with stakeholders to improve reporting and data integrity.

Lead and execute data analysis for ecommerce and subscription metrics, build dashboards and reports, generate actionable insights for marketing/product/ops, run A/B tests and cohort analyses, and mentor junior analysts while presenting findings to stakeholders.

Analyze retail and e-commerce data to drive growth and optimize user experience. Collaborate with teams and respond to data requests to develop reporting solutions.

The Senior Data Scientist will solve complex problems, mentor junior team members, conduct analyses, build models, and collaborate with various business units to enhance data science capabilities and strategies.