Senior Analytics Engineer, Product

🕒 July 1

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Inato

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏪 Marketplace

💊 Pharmaceuticals

💰 $14M Series A on 2020-02

Marketplace • Pharmaceuticals

Inato is a company dedicated to democratizing access to clinical trials through a global clinical trial marketplace. Their mission is to bring clinical research to every patient, regardless of location, by successfully matching the right research sites with the right trials globally. By supporting a wide range of research sites, Inato aims to accelerate medical innovation and broaden access to clinical research. They collaborate with top pharmaceutical companies and community research sites to advance the clinical research ecosystem.

📋 Description

• 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. • 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. • 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. • 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

• 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.

🏖️ Benefits

• 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