Top Food Data & Analytics Jobs

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 Amazon Business Analyst manages Liquid I.V.'s Amazon operations, including inventory, reporting, and performance monitoring while collaborating cross-functionally to support growth.

Lead the Product Data & Analytics team, developing capabilities in experimentation, analytics, and data science to enhance product decisions and strategies. Collaborate across teams to implement data-driven practices, ensuring products meet user needs and create measurable business value.

The role involves leading demand forecasting and S&OP processes, collaborating with sales on trade effectiveness, and supporting ice cream allocations using data analytics.

The Sr Analyst HR Analytics performs advanced reporting and analysis of HR data, creating predictive models, and supporting HR projects with data insights.

The Business Intelligence Analyst role involves analyzing multi-source data for business insights, supporting strategic decisions across departments, and improving processes through automation and effective data presentation.

The BI Partner supports national key accounts by performing analytics, developing data narratives, and assisting in strategic recommendations. Responsibilities include analysis, project management, and collaboration with the manager on business reviews and presentations.

The E-commerce Analyst will manage forecasting and demand planning, analyze e-commerce performance, track trade spend, build reporting tools, and collaborate with cross-functional teams to drive insights and strategies.

Lead the Advanced Analytics team at Conagra Brands, overseeing data engineering projects, guiding team growth, ensuring AI readiness of data, and collaborating with architecture and governance teams.

The Genotyping Panels Specialist coordinates and optimizes genotyping workflows, manages vendor relations, and oversees data quality in a high-throughput setting, mentoring others along the way.