Top Retail Data & Analytics Jobs in Los Angeles, CA

Lead the Product Analytics team, delivering insights through data analysis, experiment design, and collaboration with stakeholders to drive product strategy and growth.

The Director of Data Engineering will lead data transformation efforts, manage a team, ensure data governance, and support business analytics initiatives.

The role involves designing and optimizing technical solutions for planning software, collaborating with teams, and creating configuration prototypes while translating requirements into technical specifications.

Drive personalization and product improvement using data analytics. Collaborate across departments to develop data-driven solutions through advanced modeling and data integration.

The Staff Applied Scientist will lead the development of machine learning solutions, collaborate with teams, analyze data, and mentor team members.

The Senior Analytics Engineer will transform data into business-ready models, ensuring data quality and engaging with stakeholders to support decision-making.

The Data Services Specialist I will audit, test, and enter data into a proprietary tool, ensuring accuracy and efficiency. Responsibilities include researching and validating OEM data and automating processes where possible.

As a Staff Applied Scientist, you will drive strategic decisions in pricing and promotions through advanced analytics, machine learning, and collaboration across teams.

As a Data Engineer, you'll build and maintain data pipelines, support Data Scientists, optimize SQL performance, and integrate APIs, focusing on customer data management and collaboration across teams.

Design and implement machine learning models to enhance search relevance and improve the retrieval systems for a better customer experience.