Senior Analytics Engineer, Product

WHO WE ARE

• Inato 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.
• To do this, we are 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.
• Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations.
• Our AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026.
• We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research.
• Inato is the recent recipient of Fast Company's Most Innovative Companies of 2024, Fierce Healthcare's Fierce 15, and Built In's Best Places to Work 2025.

The Role

• We're hiring a Senior Analytics Engineer, Product to 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.
• You'll enable trusted self-service at scale, prove the value of our new product offerings faster, and ship data products directly into the user experience.
• You'll report to Alexandre Halley (Data Director) and partner daily with Product squads (PMs, engineers, designers), with regular touchpoints into CS, Marketing, and Sponsor / Site Ops.
• Our stack includes Segment, Airbyte, Dagster, BigQuery, dbt, Hex, FullStory, and more.

What you'll own

• Trusted 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 like

• By 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.

Requirements

Must-have

• 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.
• Experience building production-grade company dashboards.
• Domain exposure to healthcare, clinical trials, or other regulated industries.

Working style

You're impact-driven and pragmatic — you instinctively reach for the shortest path to the user's need.

• 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.

Location and Compensation

• 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.

Why this role, why now

• 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.

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