Senior Analytics Engineer, Product — AI-Driven Data

United States Digital Space LLC; Paris; Hybrid; EUR 65,000 - 80,000; Full time

Benefits offered by this job

Remote-first policy

Office in Paris (Grands Boulevards)

Top-of-the-line equipment

RTT – compensatory time

Health insurance (Benefiz, 100% paid)

Meal vouchers (Swile)

Wellpass activity perks

Free books & learning materials

Job summary

Inato is hiring a Senior Analytics Engineer, Product to own how data moves from our platform into the hands of product squads, CS and Marketing teams, sponsors and sites. You will 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 the Data Director and collaborate with PMs, engineers, designers, and other stakeholders.

Qualifications

• 4+ years in analytics engineering or hybrid data engineer/analyst role with ownership of analytics outcomes.
• Strong dbt + data warehouse modelling skills (BigQuery).
• Proven track record of end-to-end data products: definition → ship → adoption.
• User-centric mindset: start from user problems, not just SQL.
• Excellent written and verbal communication with non-data stakeholders.
• Ability to navigate ambiguity and translate pains into data assets without strict tickets.

Responsibilities

• Own end-to-end data pipelines and data products used by product squads, CS, Marketing, sponsors and sites.
• Define metrics and build the semantic layer powering AI-driven self-service in Hex.
• Develop and ship user-facing dashboards and data streams.
• Collaborate with cross-functional teams to translate operational pain into working data assets.
• Leverage AI-assisted tooling to accelerate data delivery while maintaining quality.

Skills

Analytics engineering

dbt

BigQuery

Communication

Ambiguity handling

Tools

Airbyte

Dagster

Hex

Job description

Inato is hiring a Senior Analytics Engineer, Product to own how data moves from our platform into the hands of product squads, CS and Marketing teams, sponsors and sites. You will 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 the Data Director and collaborate with PMs, engineers, designers, and other stakeholders.