Senior Analytics Engineer, Product at Inato | Torre

Senior Analytics Engineer, Product

You'll pioneer AI-driven data products, expanding global clinical trial access and accelerating research.
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Full-time

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Compensation
EUR65k - 80k/year
~USD75.2k - 92.5k/year
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Remote (for France residents)
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Shared by
Julien PETIT
8 days ago

Requirements and responsibilities


What you'll ownTrusted self-service at scale. Own metric definitions, build the semantic layer powering our AI-driven self-service in Hex, and govern what gets exposed so non-data teams can answer their own questions confidently.Faster value validation for new offerings. Partner with squads to translate vague operational pains (a CS workflow, a sponsor enablement gap, a prototype idea) into working data assets in days — from real-data prototype to production-grade pipeline.Data products in front of users. Own the tables consumed by the product itself, and the user-facing dashboards (embeds, custom interfaces) that sponsors, sites, and internal teams rely on day to day.Using AI to scale yourself and the team. 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. The data team is pioneering AI-enablement internally, and this role is at the front of that.What success looks likeBy 3 months: You own at least one new-offering data pipeline end-to-end. Corresponding data points are available for self-service, and new metric definitions are live. You've automated at least one internal process using AI.By 6 months: At least three user-facing dashboards or data streams are live.RequirementsMust-have: 4+ years as an Analytics Engineer, or in a hybrid data engineer/analyst role with strong analytics engineering ownership.Must-have: Strong dbt + warehouse modeling skills (we use BigQuery).Must-have: Track record of owning data products end-to-end: definition → ship → measurable adoption.Must-have: A genuine product mindset — you start from the user's problem, not from the SQL.Must-have: Excellent written and verbal communication with non-data stakeholders.Must-have: 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.Working styleImpact-driven and pragmatic — reach for the shortest path to the user's need.Systematic — improve the system rather than re-fix the same symptom.Satisfied shipping the 80% solution at 20% of the effort, then iterating on it.Comfortable in a stakeholder conversation, a dbt PR, and a quick prototype.About the CompanyInato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live.It is building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients.The AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and is well poised for growth in 2026.Location and CompensationFrance-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.PerksRemote-first philosophy & flexible hoursAmazing office in Grands Boulevards, Paris where you can meet with colleagues if this is important for youTop-of-the-line equipmentsCompensatory 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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