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Tech Stack
Tools & technologiesBigQuerySQL
About the role
Key responsibilities & impact- Own how data moves from Inato's platform into the hands of the people who depend on it — our product squads, CS and Marketing teams, sponsors, and sites.
- Enable trusted self-service at scale.
- Prove the value of our new product offerings faster.
- Ship data products directly into the user experience.
- Partner with Product squads (PMs, engineers, designers), with regular touchpoints into CS, Marketing, and Sponsor / Site Ops.
- Own metric definitions, build the semantic layer powering our AI-driven self-service in Hex.
- Translate vague operational pains into working data assets in days — from real-data prototype to production-grade pipeline.
- Own the tables consumed by the product itself, and the user-facing dashboards that sponsors, sites, and internal teams rely on day to day.
- Automate the parts of data work that don't need a human in the loop so the team can keep pace as new offerings multiply and Inato grows.
Requirements
What you’ll need- 4+ years as an Analytics Engineer, or in a hybrid data engineer/analyst role with strong analytics engineering ownership.
- Strong dbt + warehouse modeling skills (we use BigQuery).
- Track record of owning data products end-to-end: definition → ship → measurable adoption.
- A genuine product mindset — you start from the user's problem, not from the SQL.
- Excellent written and verbal communication with non-data stakeholders.
- Comfort navigating ambiguity — you can turn a vague operational pain into a working data asset without a fully-specified ticket.
- Nice-to-have: Fluency with AI-assisted tooling (Claude Code, Claude Cowork, Hex AI) and a habit of using it to ship faster.
- Nice-to-have: Experience building production-grade company dashboards.
- Nice-to-have: Domain exposure to healthcare, clinical trials, or other regulated industries.
Benefits
Comp & perks- Remote-first philosophy & flexible hours
- Amazing office in Grands Boulevards, Paris where you can meet with colleagues if this is important for you
- Top-of-the-line equipments
- Compensatory time (RTT)
- Health insurance (Benefiz, 100% paid by Inato)
- Meal vouchers (Swile)
- Contribution to healthy activities (Wellpass, ex-Gymlib)
- Free books & learning material
ATS Keywords
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Hard Skills & Tools
Analytics EngineeringdbtBigQuerydata modelingdata product ownershipdata pipeline developmentdashboard creationAI-assisted toolingproduction-grade developmentself-service data solutions
Soft Skills
communicationproblem-solvingadaptabilitycollaborationuser-centric mindsetnavigating ambiguitystakeholder engagementownershipcritical thinkingtime management