Analytics Engineer

As an Analytics Engineer at Ledger, 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. Ledger is the global platform for digital assets and Web3, securing over 20% of the world's crypto assets through our Ledger devices and serving over 7.5 million units sold in 200 countries.

What you'll do

• 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
• Develop and improve data models using dbt and Snowflake across varied data sources including sales, sell-out, marketing and web analytics, working with the data engineering team and co-owning data quality alerting for SKU, refunds and sales anomalies
• Build and maintain Tableau dashboards for business stakeholders covering e-commerce performance, wholesale, resellers sell-out, affiliation, editorial content and shipping costs
• Own the measurement of performance marketing channels including SEM, Google Ads, affiliation, retargeting and Amazon Ads by tracking spend, revenue attribution and ROAS/CAC across GA4, ad platforms and internal sales data
• Measure the true impact of pricing, promotional and marketing campaigns using causal inference methods such as CausalImpact, pre-post analysis and control/synthetic groups, and recommend budget arbitrations to the Growth team
• Model customer value including LTV, repurchase behavior and services attach, and feed insights back into marketing ROI decisions
• Contribute to cross-functional data projects such as Salesforce data model and new data source integrations, and leverage AI tooling to scale analytics delivery
• Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to executive level

What you bring

• Strong SQL and dbt skills with Snowflake
• Python for analysis and statistics
• Strong Tableau skills
• Familiarity with marketing and web analytics data including GA4, ad platforms such as Google Ads and Amazon Ads, and affiliation networks
• 3-4 years of experience in data analytics or analytics engineering
• A data-driven and business-oriented mindset with the ability to challenge stakeholders' methodology
• Excellent organizational skills and fluency in English

Nice to have

• Experience with causal inference methods

What we offer

• Hybrid work policy allowing you to work from home up to 3 times per week
• Health and Life Insurance
• Opportunity to become a shareholder in Ledger plus other financial benefits depending on your country of work
• Commuter allowance to support your preferred means of transportation
• A comprehensive suite of learning and development training solutions providing a personalized learning experience

About Ledger

Ledger is the global platform for digital assets and Web3, securing over 20% of the world's crypto assets through its hardware wallets. With headquarters in Paris and offices across Europe, North America and Asia, Ledger develops products and services enabling individuals and companies to securely buy, store, swap, grow and manage crypto assets.