Manager, Insights & Analytics

COMPANY DESCRIPTION
At Beyond Meat, we started with simple questions. Why do you need an animal to create meat? Why can’t you build meat directly from plants? Thus, we make plant-based meats that allow families to eat more, not less, of the traditional dishes they love while feeling great about the health, sustainability, and animal welfare benefits of plant protein. Our goal is to bring exciting change to the plate—and Beyond.

RESPONSIBILITIES:

• Drive distribution, profitable sales, and category growth by translating shopper data into actionable insights across key retail channels and major customer accounts.
• Create best-in-class category insights, including a comprehensive overview of market and industry trends, SWOT, competitive review, assortment, and category performance.
• Support customer-specific category initiatives (retail category vision, growth drivers, shopper journey, etc.) through the analysis and translation of syndicated POS data (IRI, Nielsen).
• Strengthen partnerships with key retail customers and brokers by activating insights that will influence strategy, pricing, and merchandising recommendations.
• Analyze syndicated POS data across key retail channels in preparation for customer meetings, category & line reviews, and collaborations with retail brokers.
• Identify key business issues and opportunities through the interpretation of multiple data sources, including internal sales data, syndicated POS data, and trade ROI.
• Develop business cases, create topline stories, and identify white spaces that can be leveraged to promote category expansion and distribution in retail.
• Provide thought leadership to influence accuracy by aligning information and adding rigor to the forecasting process.
• Become the resident expert of a new , cloud-based market intelligence and data visualization platform (Tableau), including advisory in the development of reports and dashboards.
• Support the enterprise data warehouse & analytics initiative by partnering with cross-functional teams to streamline data sources, reporting, and KPI's.

QUALIFICATIONS:

• Minimum of 3-5 years in data & analytics roles, with category management and multi-channel CPG experience, plus proven track record of providing compelling insights that drive results.
• Advanced syndicated data analytics experience, including but not limited to: purchase funnels, conversion rate optimization, market basket, leakage tree, pricing, trade ROI, and void reports.
• Experience partnering with retail customers and brokers to develop solutions (e.g., pricing strategy, planograms, shopper marketing) that deliver category and brand growth.
• Strong knowledge of trade promotion software, plus experience with retail customer portals.
• Knowledge of BI tools (Power BI, Tableau), SQL, table design, data aggregation, and data validation.
• Strong data visualization skills, writing skills, and presentation skills, with the ability to synthesize data from multiple sources to answer business questions.
• Ability to manage multiple concurrent projects and thrive in a cross-functional environment.
• A structured thinker capable of problem-solving with the ability to translate insights into meaningful narratives and stories.
• A self-starter who is passionate about getting data, using data, making sense of data, and helping others benefit from making analytics-driven decisions.
• Environment: Remote to start-duration TBD.

Beyond Meat is an equal employment opportunity employer. Candidates are considered for employment without regard to race, creed, color, national origin, age, sex, religion, ancestry, veteran status, marital status, gender identify, sexual orientation, national origin, liability for military service, or any other characteristic protected by applicable federal, state, or local law. If you are interested in learning the status of your application, please note you will be contacted directly by the appropriate human resources contact person if you are selected for further consideration. Beyond Meat reserves the right to defer or close a vacancy at any time.