inato - Senior Analytics Engineer, Product
Requirements
• 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. • Fluency with AI-assisted tooling (Claude Code, Claude Cowork, Hex AI) and a habit of using it to ship faster. • Experience building production-grade company dashboards. • Domain exposure to healthcare, clinical trials, or other regulated industries. • You're impact-driven and pragmatic — you instinctively reach for the shortest path to the user's need. You're systematic: you'd rather improve the system than re-fix the same symptom. You're satisfied shipping the 80% solution at 20% of the effort, then iterating on it. You're equally comfortable in a stakeholder conversation, a dbt PR, and a quick prototype. • You'll thrive here if your career arc looks something like: started as an analyst or PM, moved up the stack toward analytics engineering or data product, have lived in start-ups or scale-ups where you owned a meaningful slice of the data value chain end-to-end, and have shipped complex projects with measurable end-user value.
Benefits
• France-based, remote-first. Office available in Grands Boulevards, Paris if you want to use it. • Base salary range: 65,000€ – 80,000€, plus equity. No individual variable bonus. • Inato is in a phase of rapid growth driven by new product offerings, and the data team is one of the functions directly responsible for proving and scaling that value. You'll have a direct line to the VP Product, real ownership from day one, and a small senior team around you. Inato is leaning hard into AI-enablement, and the data team is pioneering it internally — there's a clear path to Lead or Staff Analytics engineer, or Data Product Manager within 2–3 years as our data-as-a-product surface grows. • 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
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