Senior Analytics Engineer
About The Position
The Honest Company is seeking a Senior Analytics Engineer to own one or more domains of its curated analytics layer, from source contracts through certified marts. The centralized data function uses Redshift, Airflow, dbt, Metabase, and Hex. The role serves as a point of contact for stakeholders resolving disputed metrics, frames ambiguous requests, determines domain modeling approaches, and raises the technical standards of surrounding analysts and engineers. The Senior Analytics Engineer will partner with supply chain planners, finance analysts, Data Engineering, and the Sr Manager. The role includes defining dataset tiers and SLAs, owning model runtime and Redshift costs, leading incident response and post-incident reviews, and migrating reporting from spreadsheets and raw tables to curated models. It also involves mentoring teammates, conducting interviews, and shaping the domain backlog. Success after 12 months includes moving the domain’s reporting to curated models and retiring its spreadsheets of record, meeting SLAs for critical datasets and addressing the causes of incidents, becoming the go-to person for metric definitions, and enabling another engineer or analyst to deliver work in the domain to standard without review.
Requirements
- At least 6 years of experience in analytics engineering, data engineering, or a heavily technical analyst role, including at least 2 years owning production models relied on by other teams.
- Expert SQL on a columnar warehouse; production dbt experience with tests, macros, snapshots, exposures, and CI; and dimensional modeling across multiple sources.
- Ability to demonstrate a modeling decision, alternatives considered, and the rationale for the decision.
- Experience resolving disagreements between teams about metric definitions and making the resolution stick.
- Experience owning reliability for datasets with real consumers, including tests, freshness, alerting, and incident follow-through.
- Clear technical writing skills for design documents, pull request descriptions, and documentation accessible to business users.
- Evidence of improving others’ work through mentorship, review culture, or adoption of standards.
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, including ERP orders, shipments, inventory, and cost, or Circana syndicated data and cross-domain joins supporting SIOP and forecast-accuracy reporting.
- Write design documents for domain-scale changes, such as conformed dimensions or incremental rebuild strategies, and have them reviewed before implementation.
- Run metric-definition sessions with supply chain planners and finance analysts, document agreements, and bring unresolved conflicts with a recommendation to the Data Council.
- Define dataset tiers and SLAs for the domain, and lead incident response and post-incident reviews when datasets fail.
- Own runtime and Redshift costs for domain models, identifying and fixing expensive models.
- Agree on source schema and quality expectations with Data Engineering and protect those expectations when upstream changes could cause breakage.
- Shape the domain backlog with the Sr Manager, declining work with clear reasons and alternatives where appropriate.
- 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 employees at the Playa Vista office, an onsite gym.
- Generous and flexible vacation policy.
- Maternity and paternity leave.
- Equity granted to every full-time employee.
- Education reimbursement.
- Pet insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
