Data Scientist & Analytics Engineer

The role

You will own consumer sales analytics end to end and measure the incremental impact of pricing, promotions, and marketing campaigns. You will develop data models and build Tableau dashboards to provide business teams with performance views.

What you will do

• Own consumer sales analytics end to end for Ledger.com, Amazon, wholesale and resellers
• Measure the incremental impact of pricing, promotions and marketing campaigns using causal methods and experiments
• Develop and improve data models using dbt and Snowflake
• Co-own data quality alerting
• Own performance marketing measurement including attribution, ROAS, and CAC
• Build and maintain Tableau dashboards
• Model customer value including LTV, repurchase behavior, and services attach
• Use LLM-based workflows and AI agents to automate analyses
• Create and deliver presentations for stakeholders up to ExCom level

Required qualifications

• Proven hands-on data science experience applied to business decisions
• Experience running causal inference studies or building predictive models
• Strong statistical rigor in experiment design, confidence intervals and power
• 2 to 4 years of experience in data analytics, analytics engineering or data science
• Strong SQL
• Data driven and business oriented

Nice to have

• dbt skills
• Tableau skills
• Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks

Benefits

• Flexible work options: work from home up to 3 times per week
• Health and Life Insurance
• Employees can become shareholders in Ledger
• Other financial benefits depending on country of work
• Commuter allowance
• Comprehensive suite of training solutions

About the company

Ledger is a global platform for digital assets and Web3 with over 20% of the world's crypto assets secured through their devices. The company has headquarters in Paris and offices in several global locations.