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Analytics Engineer

Data Engineer • Hybrid • Full-time • France Paris, France

Ledger is looking for an Analytics Engineer to join its Data Team and own analytics across consumer sales, building dbt/Snowflake data models and Tableau dashboards and measuring marketing channel performance.

Responsibilities

  • ▹Own analytics across the full consumer sales scope: Ledger.com e-commerce, Amazon marketplaces, wholesale and resellers/distributors, covering sell-in and sell-out, with one consistent view of revenue, units and margin reconciled in Snowflake
  • ▹Develop and improve data models (dbt/Snowflake) across sales, sell-out, marketing and web analytics sources; 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 and 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
  • ▹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 or analytics engineering
  • ▹Data driven and business oriented; able to challenge stakeholders' methodology
  • ▹Excellent organizational skills, fluent in English

Nice to have

  • ▹Experience with causal inference methods

Soft skills

Data-driven, business-oriented thinkingOrganizational skillsClear presentation to senior stakeholders

What we offer

  • ▹Flexible work: hybrid policy, up to 3 days per week from home
  • ▹Health and life insurance
  • ▹Opportunity to become a Ledger shareholder, plus other financial benefits depending on the country
  • ▹Commuter allowance
  • ▹Learning and development: training solutions with a personalised learning experience

About the company

Ledger is the global platform for digital assets and Web3, securing over 20% of the world's crypto assets through its devices. Headquartered in Paris with around 600 professionals, it has sold more than 7.5 million hardware wallets in 200 countries.

Languages: Angol: folyékony

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