Analyste de données

Data Analyst, E-commerce | Paris / Tel-Aviv

CDI (Permanent contract) Paris, Tel-Aviv Frequent remote work Start date: May 4, 2026 Experience: 4+ years Education: Bachelor's degree minimum

You report directly to the Data Science Manager and work daily alongside the Data Engineer and the Product, Tech, and Customer Success teams. You are also a key contact for our clients on all things data.

Your core mission is analysis and data valorization: exploring our data, understanding user behavior, measuring the performance of our checkout experiences, and delivering actionable recommendations to Product, CS, and our clients.

Tracking implementation and maintenance are currently handled by a partner agency. That said, you need a strong tracking culture to understand the data you work with, contribute to client onboarding phases (acceptance testing, validation), guarantee data quality, and debug efficiently when a metric goes off track.

Analysis and data valorization (core of the role)

• Explore our data in depth, including raw data, on BigQuery to identify friction points in the purchase journey and optimization levers.

• Produce performance analyses for our clients (business reviews, reports, A/B test readouts).

• Analyze A/B test results, contribute to the design of upcoming tests, and feed the experimentation roadmap.

• Respond to ad hoc data requests from internal teams (Product, Tech, Sales, CS, Marketing).

Reporting and self-serve

•Design and maintain our client-facing and internal dashboards (performance tracking, monitoring, A/B test scorecards).

• Define, calculate, and evolve the key KPIs for the product and the business.

• Equip Customer Success and Sales teams so they can access data autonomously.

Data quality and onboarding (support role)

• Participate in client onboarding on the data side: acceptance testing of collected data, event consistency validation, flagging discrepancies to the tracking agency.

• Monitor data quality daily, handle alerts from our data quality pipeline (Soda + Composer), and coordinate resolution with the agency and the Data Engineer.

• Understand GTM, GA4, and our data layer well enough to precisely qualify a tracking issue before escalating it to the agency. Not to implement it yourself.

Architecture and data culture (cross-functional)

• Contribute, alongside the Data Engineer, to the evolution of our Silver / Gold models on BigQuery based on analytical needs.

• Promote data culture internally and support skill development across business teams.

Cloud and data warehouse: GCP, BigQuery, Cloud Composer (Airflow)

Analysis and transformation: SQL, Python, dbt (coming soon)

Tracking (to understand, not to implement): GTM, GA4, data layer, internal Tracking API

Data quality: Soda, Slack alerting via internal bot

BI / dataviz: Looker Studio, Tableau, custom dashboards

A/B testing: AB Tasty

Collaboration: GitHub, Jira, Slack, Notion

Must have

• 4+ years as a Data Analyst, ideally in a SaaS environment and mandatorily in e-commerce.

• Advanced SQL proficiency (BigQuery a strong plus) and a proven ability to dig into raw data and extract meaningful insights.

• Solid Python foundations for automation and analysis.

• Strong e-commerce tracking culture: you can read a tag plan, navigate GTM, understand a data layer, identify a missing or misfired event in GA4. You don't need to code a tag, but you must speak the same language as a tracking agency.

• Product and business sense: you deliver actionable recommendations, not just numbers.

• Excellent interpersonal skills and ability to simplify complex topics: you will interact with our clients (data, marketing, e-commerce on the advertiser side) as well as with internal teams.

• Rigor, curiosity, autonomy, and a taste for debugging.

• Experience in e-commerce, conversion funnel measurement, and A/B test analysis.

Nice to have

• Familiarity with dbt, Looker Studio, or Tableau.

• Applied statistics knowledge for experimentation.

• JavaScript basics (useful for reading a GTM tag).

• Understanding of GDPR / CMP challenges on the tracking side.

• A role at the heart of a strategic topic for e-commerce: checkout.

• A lean, tech-friendly Data team where you will have real impact on product and analytical decisions.

• Offices in Paris (17th arrondissement, facing Parc Monceau) or Tel-Aviv. Flexible remote with in-person team days.

• Competitive compensation + meal card, premium health insurance, transport coverage, gift vouchers.

• Founders with inspiring backgrounds and long-term committed shareholders.