Data Scientist & Analytics Engineer

Ledger; Paris; Híbrido; EUR 65.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work policy

Health & Life Insurance

Shareholders opportunities

Commuter allowance

Training & development

Descripción de la vacante

Ledger Enterprise seeks a data analytics professional to own consumer sales analytics end to end, from Ledger.com to resellers, delivering a unified view of revenue and margins. You will assess pricing and promotions using causal methods and guide Growth budgeting decisions.

You will build scalable data models (dbt/Snowflake) across sales, marketing and web analytics, and craft Tableau dashboards for leadership. Strong SQL and analytical storytelling are essential.

Formación

• Proven hands-on data science experience applied to business decisions with causal methods or predictive models.
• Strong statistical rigor including experiment design, confidence intervals, and power analysis.
• 2–4 years of experience in data analytics, analytics engineering or data science.
• Strong SQL skills and ability to translate data into actionable business insights.
• 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) is a plus.

Responsabilidades

• Own consumer sales analytics end to end: Ledger.com, Amazon, wholesale and resellers with a single view of revenue, units and margin.
• Measure incremental impact of pricing, promotions, and marketing campaigns using causal methods; inform Growth budget decisions.
• Develop and improve data models (dbt/Snowflake) across sales, marketing, and web analytics with data quality alerts.
• Own performance marketing measurement (attribution, ROAS, CAC) integrating multiple data sources.
• Build and maintain Tableau dashboards giving clear, reliable performance views for business teams.
• Model customer value (LTV, repurchase) and feed into marketing ROI decisions.
• Collaborate in an AI-augmented environment using LLM workflows to accelerate analyses.
• Create presentations turning complex analyses into clear recommendations up to ExCom level.

Conocimientos

Strong SQL

Causal inference experience

Data analytics

Business oriented

Herramientas

dbt

Snowflake

Tableau

Descripción del empleo

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

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.