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Salary: USD 135,000 - 154,000 / annual
The Honest Company, a NASDAQ-listed personal care and wellness brand (founded 2012), is seeking a Senior Analytics Engineer to own and scale their centralized data function. You will take full domain ownership of critical analytics layers—such as supply chain (ERP orders, shipments, inventory, cost) or syndicated consumption data (Circana)—from source contract through certified data marts.
You will be the authoritative voice when numbers are disputed. You frame ambiguous stakeholder requests before SQL is written, design how domains should be modeled, and elevate the craft of analysts and engineers around you. The data stack runs on Redshift, Airflow, dbt, Metabase, and Hex.
Key responsibilities include:
- Own one or more domains end-to-end, including cross-domain joins behind SIOP and forecast-accuracy reporting
- Write design docs for domain-scale changes and get them reviewed before building
- Run definition sessions with supply chain planners and finance analysts; document agreements and escalate conflicts to the Data Council with recommendations
- Define dataset tiers and SLAs; lead incident response and post-incident reviews when datasets break
- Own runtime and Redshift costs; identify and fix expensive models
- Agree schema and quality expectations with Data Engineering; hold the line on upstream changes that would break them
- Shape your domain's backlog with the Sr Manager; say no with clear reasons and alternatives
- Mentor analytics engineers and analysts through code review, teaching reasoning behind standards
- Lead migration of domain reporting off spreadsheets and raw tables onto curated models
- Run interview rounds and help calibrate candidates
Success at 12 months means your domain's reporting runs on curated models with spreadsheets retired, critical datasets meet SLAs with incident fixes addressing root causes, stakeholders bring definition questions to you first, and at least one other engineer or analyst ships work in your domain to standard without your review.
REQUIREMENTS:
Required:
- 6+ years in analytics engineering, data engineering, or heavily technical analyst role, including at least 2 years owning models that other teams depended on in production
- Expert SQL on columnar warehouse; production dbt (tests, macros, snapshots, exposures, CI); dimensional modeling across multiple sources—at a level where others copy your patterns
- Track record of designing, not just implementing: can show a modeling decision, alternatives rejected, and reasoning
- Experience resolving metric definition disagreements between teams and making the resolution stick
- Experience owning reliability for datasets with real consumers: tests, freshness, alerting, incident follow-through
- Clear technical writing: design docs, PR descriptions, documentation readable by business users
- Evidence of making others better: mentorship, review culture, or standards adoption you drove
Preferred:
- CPG, retail, or consumer goods experience, especially syndicated measurement data (Circana/IRI, NIQ, SPINS) or retailer vendor portals
- Working knowledge of SIOP/S&OP cycle or finance close calendar and how data timing affects them
- Experience with semantic layer, metric store, or data observability platform (Monte Carlo, Datafold)
- Python; exposure to Airflow, Fivetran, or dlt
