Consumer Insights Data Analyst Minneapolis, MN

We appreciate your interest in employment with The Honest Company! The Honest Company is committed to a policy of equal employment opportunity, and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally-recognized protected basis under federal, state, or local law.

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The Honest Company (NASDAQ: HNST) is a digitally-native consumer products company born in the Gen Z era to make purpose-driven consumer products designed for all people. Since its launch in 2012, Honest has been dedicated to creating thoughtfully formulated, safe and effective personal care, beauty, baby and household products, which are available via  , third-party ecommerce partners and approximately 50,000 retail locations across the United States, Canada and Europe.

Based in Los Angeles, CA, the Company's mission, to inspire everyone to love living consciously, is driven by its values of transparency, trust, sustainability and a deep sense of purpose around what matters most to its consumers: their health, their families and their homes. For more information about the Honest Standard and the company, please visit  .

We're on a mission to empower people to live happy, healthy lives.

We're a wellness brand with values rooted in consciousness, community, transparency, and design. Every day and in every way, we hold ourselves to an Honest standard.

We believe that it is our responsibility to do our part to help create a healthy and sustainable future for all.

The Consumer Insights Data Analyst will serve as the objective source of truth on business and category performance. The ideal candidate is a curious, strategic thinker, detail oriented and a collaborative business partner who thrives in a fast-paced environment. This role owns data quality, builds the dashboards and visualizations the business runs on, and applies advanced analytics to explain performance and uncover growth opportunities, partnering cross-functionally to democratize data-driven decision making.

This role is hybrid and open to either being located in Los Angeles, CA or Minneapolis, MN.

WHAT YOU’LL DO

The Data Analyst is responsible for duties including but not limited to the following:

• Own the source of truth: Serve as the objective, single source of truth on business performance across syndicated data sources (e.g. Circana, Stackline) and retailer POS portals. Harmonize these sources into one consistent view of consumption, share, distribution, pricing, and promotion.
• Ensure data quality and governance: Maintain data pipelines, product and retailer hierarchies, and common KPI definitions. Establish validation checks, cross-source reconciliation, and documentation to ensure data quality and accuracy.
• Report on the state of the business: Deliver weekly, monthly, and quarterly performance reporting by brand, category, channel, and retailer. Proactively flag trends, risks, and opportunities, and explain the drivers behind the results.
• Build dashboards and visualizations: Design, develop, and maintain intuitive, automated dashboards. Continuously improve usability, adoption, and refresh reliability.
• Apply advanced analytics: Lead deep-dive analyses such as sales driver decomposition, price and promotion effectiveness, distribution and velocity, assortment and share of shelf, forecasting, and incrementality. Translate findings into clear, actionable recommendations.
• Democratize data: Partner with cross-functional teams (e.g. Brand, Finance, Sales, etc.) to understand business questions and key success metrics. Train and enable stakeholders to find and use data independently, building data literacy and a culture of evidence-based decision making.
• Tell the story: Synthesize data from multiple sources into concise narratives and presentations that influence strategy and unlock data-backed decision making.
• Manage data partners: Serve as the primary point of contact for data vendors (e.g. Circana)…