Data Scientist & Analytics Engineer

Full-timeHybrid
Paris, Francevia Ledger CareersPosted Sep 28, 2026
Match with my CV

Technical skills

SQLData engineeringData analysisBusiness intelligenceData science

Methods

Paid adsPerformance marketing

Role signals

SalesFinanceRecruiting

About this role

We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale.

We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.

At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices.

With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.

The team:

You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels.

What you’ll be doing

  • Own consumer sales analytics end to end: Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin
  • Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team
  • Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting
  • Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth
  • Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance
  • Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions
  • Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery
  • Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level
  • What we’re looking for:
  • Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision
  • Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect
  • -
  • 2 to 4 years of experience in data analytics, analytics engineering or data science
  • Strong SQL
  • -
  • dbt skills are a plus
  • Tableau skills are a strong plus
  • Data driven and business oriented; able to challenge stakeholders' methodology
  • Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus

At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to:

  • Flexible work options
  • Our hybrid policy allows employees to work from home up to 3 times per week
  • Health & Wellness support
  • Health and Life Insurance.
  • Financial growth opportunities
  • Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work.
  • Commuter allowance
  • Ledger offers a commuter allowance to contribute to your preferred means of transportation.
  • Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.
  • For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.
  • We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Before you apply

  • 1Which parts of your CV prove experience with SQL, Data engineering, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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