Senior Analytics Engineer

The Honest Company • Minneapolis, MN

7d • Hybrid

About The Position

The Honest Company is seeking a Senior Analytics Engineer to own one or more domains of its curated analytics layer end to end, from source contracts to certified marts. The centralized data function uses Redshift, Airflow, dbt, Metabase, and Hex. The role serves as a trusted point of contact for stakeholders resolving disputed metrics, frames ambiguous requests before implementation, determines domain modeling approaches, and raises the quality of the work produced by analysts and engineers.

The Senior Analytics Engineer will own domain design, modeling, reliability, runtime, and Redshift costs; facilitate metric-definition discussions with supply chain and finance stakeholders; set dataset tiers and SLAs; and lead incident response and post-incident reviews. The role also shapes the domain backlog with the Sr Manager, partners with Data Engineering on source schemas and quality expectations, mentors colleagues, leads migrations from spreadsheets and raw tables to curated models, and participates in interviewing and candidate calibration.

Requirements

• At least 6 years in analytics engineering, data engineering, or a heavily technical analyst role, including at least 2 years owning production models depended on by other teams.
• Expert SQL on a columnar warehouse.
• Production dbt experience, including tests, macros, snapshots, exposures, and CI.
• Dimensional modeling across multiple sources.
• A record of designing data models and explaining the decision, alternatives considered, and rationale.
• Experience resolving metric-definition disagreements between teams and making the resolution stick.
• Experience owning reliability for datasets with real consumers, including tests, freshness, alerting, and incident follow-through.
• Clear technical writing, including design documents, pull request descriptions, and documentation accessible to business users.
• Evidence of improving others’ work through mentorship, review culture, or standards adoption.

Nice To Haves

• CPG, retail, or consumer goods experience, especially syndicated measurement data such as Circana/IRI, NIQ, or SPINS, or retailer vendor portals.
• Working knowledge of the SIOP/S&OP cycle or finance close calendar and how data timing affects them.
• Experience with a semantic layer, metric store, or data observability platform such as Monte Carlo or Datafold.
• Python experience and exposure to Airflow, Fivetran, or dlt.

Responsibilities

• Own one or more data domains end to end, such as ERP orders, shipments, inventory, and cost, or Circana syndicated data, including cross-domain joins for SIOP and forecast-accuracy reporting.
• Write design documents for domain-scale changes and obtain review before implementation.
• Run definition sessions with supply chain planners and finance analysts, document agreed definitions, and bring unresolved conflicts to the Data Council with a recommendation.
• Define dataset tiers and SLAs for the domain, and lead incident response and post-incident reviews when datasets break.
• Own runtime and Redshift costs for domain models and identify and optimize expensive models.
• Agree on source schema and quality expectations with Data Engineering, and protect them when upstream changes could cause breakage.
• Shape the domain backlog with the Sr Manager, decline unsuitable work with clear reasons, and offer alternatives.
• Mentor analytics engineers and analysts, using code review to explain the reasoning behind standards.
• Lead migration of domain reporting from spreadsheets and raw tables to curated models.
• Run interview rounds and help calibrate candidates.

Benefits

• Comprehensive health, dental, and vision plans.
• 401(k) with company match.
• Monthly fitness reimbursement and, for Playa Vista office employees, an onsite gym.
• Generous flexible vacation policy.
• Maternity and paternity leave.
• Equity for every full-time employee.
• Education reimbursement.
• Pet insurance.
• Annual incentive plan, benefits, retirement plan, equity, and Employee Stock Purchase Plan may be included in the total rewards package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed