Consumer Insights Data Analyst

The Honest Company•Los Angeles, CA

7h•$61,000 - $76,000•Hybrid

About The Position

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.

Requirements

Minimum of 3–5 years in data analytics, sales or category analytics, or business intelligence within CPG or retail.
Bachelor's degree in Analytics, Statistics, Economics, Business, or a related quantitative field required; an advanced degree is a plus.
Hands-on expertise with Circana, Stackline, NielsenIQ, or other retailer POS systems.
Strong command of CPG measures (e.g., consumption, distribution, velocity, base vs. incremental, dollar and unit share).
Advanced Excel and SQL; experience with Python or R for data manipulation and statistical modeling.
Proficiency building dashboards in Power BI, Hex, Tableau, or similar BI tools.
Experience with statistical methods such as regression, forecasting, and price elasticity modeling.
Relentless attention to detail and a commitment to data accuracy and integrity.
Ability to reconcile and synthesize disparate data sources into a single, trusted view.
Strong business acumen and the ability to translate complex analyses into clear, actionable recommendations.
Collaborative partner who can influence and educate stakeholders at all levels.
Adept at managing multiple priorities in a fast-paced, dynamic environment.
Excellent written, verbal, and data storytelling skills.
Proactive and curious, with a drive to automate and continuously improve processes.
Experience managing data vendor relationships.
Passion for enabling others through data literacy and self-service tools.

Nice To Haves

Working knowledge of data modeling, ETL, and cloud data platforms (e.g., Snowflake, Databricks) is preferred.

Responsibilities

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.
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.
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.
Design, develop, and maintain intuitive, automated dashboards. Continuously improve usability, adoption, and refresh reliability.
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.
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.
Synthesize data from multiple sources into concise narratives and presentations that influence strategy and unlock data-backed decision making.
Serve as the primary point of contact for data vendors (e.g. Circana) managing deliverables, database builds, and issue resolution.