Analytics Engineer

Ledger; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Flexible hybrid policy

Health & Life Insurance

Employee stock options

Commuter allowance

Learning & Development

Résumé du poste

Ledger is seeking a data analytics professional to join the Data Team in Paris. You will own analytics across consumer sales channels, build data models with dbt/Snowflake, and develop Tableau dashboards for stakeholders up to ExCom. The role emphasizes SQL, Python, and causal inference to measure pricing, campaigns, and ROI.

Hybrid work options and learning opportunities are provided. You'll collaborate with data engineers and cross-functional teams to scale analytics delivery using AI tooling

Qualifications

• Strong SQL and dbt skills (Snowflake).
• Python for analysis and statistics; experience with causal inference methods is a strong plus.
• Strong Tableau skills.
• Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks.
• 3-4 years of experience in data analytics/analytics engineering.
• Data driven and business oriented; able to challenge stakeholders' methodology.
• Excellent organizational skills, fluent in English.

Responsabilités

• Own analytics across the full consumer sales scope with one consistent view of revenue, units, and margin.
• Develop and improve data models (dbt/Snowflake) across varied data sources with the data engineering team; co-own data quality alerts.
• Build and maintain Tableau dashboards for business stakeholders across e-commerce, wholesale, and marketing.
• Own measurement of performance marketing channels across GA4 and ad platforms; reconcile data from multiple sources.
• Measure impact of pricing, promotions, and campaigns using causal inference; advise budget allocations.
• Model customer value (LTV, repurchase) to inform marketing ROI decisions.
• Contribute to cross-functional data projects and leverage AI tooling to scale analytics.
• Create and deliver presentations turning analyses into clear recommendations up to ExCom.

Connaissances

SQL

dbt

Python

Tableau

Snowflake

Causal inference

Outils

Snowflake

dbt

Tableau

GA4

Google Ads

Description du poste

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 analytics across the full consumer sales scope: Ledger.com e-commerce, Amazon marketplaces, wholesale and resellers/distributors - covering both sell-in and sell-out- with one consistent view of revenue, units and margin reconciled in Snowflake, our source of truth
• 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 (SKU, refunds, sales anomalies)
• Build and maintain Tableau dashboards for business stakeholders: e-commerce performance, wholesale, resellers sell-out, affiliation, editorial content, shipping costs
• Own the measurement of performance marketing channels - SEM / Google Ads, affiliation & retargeting, Amazon Ads: spend, revenue attribution, ROAS/CAC across GA4, ad platforms and internal sales data, reconciling discrepancies between sources
• Measure the true impact of pricing, promotional and marketing campaigns using causal inference methods (CausalImpact, pre-post, control/synthetic groups) and recommend budget arbitrations to the Growth team
• Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions
• Contribute to cross-functional data projects (Salesforce data model, new data source integrations) and leverage AI tooling (Claude, LLM-based workflows) to scale analytics delivery
• Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level

What we’re looking for:

• Strong SQL and dbt skills (Snowflake)
• Python for analysis and statistics; experience with causal inference methods is a strong plus
• Strong Tableau skills
• Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks
• 3-4 years of experience in data analytics/analytics engineering
• Data driven and business oriented; able to challenge stakeholders' methodology
• Excellent organizational skills, fluent in English

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.