Analytics Engineer

Unchain Data; Paris; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Flexible hybrid work

Health & Wellness support

Employee stock options

Commuter allowance

Learning & Development

Résumé du poste

Ledger is seeking a data analytics specialist to own analytics across consumer sales channels, from Ledger.com to marketplaces and wholesale. You will build data models in dbt/Snowflake, create Tableau dashboards and measure marketing ROAS with GA4 and ad platforms.

Join a cross-functional Data Team in Paris with hybrid work options, delivering insights that influence pricing, campaigns and ROI. English fluency is required.

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).
• 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: 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

Connaissances

SQL

Python

Tableau

English fluency

GA4

Google Ads

Amazon Ads

data-driven

Formation

3-4 years data analytics/analytics engineering

Outils

dbt

Snowflake

Description du poste

About Us

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.

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.

Responsibilities

• 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

Requirements

• 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

Benefits

• 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.