Analytics Engineer

Ledger
France
Hybrid

Who this role is best for

Best suited to data professionals with strong SQL and Tableau skills working in the consumer sales and marketing domain of the digital assets and Web3 industry.

Best fit for

  • Candidates with 3-4 years of analytics experience and a focus on consumer sales and marketing metrics
    — “3-4 years of experience in data analytics/analytics engineering”
  • Individuals who can bridge technical data modeling with business impact storytelling
    — “Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level”
  • Professionals comfortable working with multiple data sources and reconciling discrepancies
    — “co-own data quality alerting (SKU, refunds, sales anomalies)”

Things to consider

  • The role requires in-office presence up to three times per week despite flexible work options
    — “hybrid policy allows employees to work from home up to 3 times per week”

How to stand out

  • Highlight experience with causal inference methods and their impact on marketing decisions
    — “Measure the true impact of pricing, promotional and marketing campaigns using causal inference methods”
  • Showcase your ability to build and maintain Tableau dashboards for high-level stakeholders
    — “Build and maintain Tableau dashboards for business stakeholders”
  • Demonstrate your ability to reconcile discrepancies across multiple data sources
    — “reconciling discrepancies between sources”
  • Emphasize your experience with marketing/web analytics data and ad platforms
    — “Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads)”
  • Leverage AI tooling experience in your analytics delivery process
    — “leverage AI tooling (Claude, LLM-based workflows) to scale analytics delivery”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Own analytics across the full consumer sales scope
  • Develop and improve data models
  • Build and maintain Tableau dashboards for business stakeholders
  • Measure the true impact of pricing, promotional and marketing campaigns
Typical background
3-4 years of experience in data analytics/analytics engineering

Skills & requirements

Required

SQLdbtTableauMarketing/web AnalyticsCausal Inference Methods

Preferred

Python For Analysis And Statistics

Stack & domain

SQLdbtSnowflakePythonTableauMarketing/web AnalyticsGA4Ad PlatformsAffiliation NetworksCausal InferenceLTVRepurchase BehaviorServices AttachMarketing ROICross-functional Data ProjectsAI ToolingClaudeLlm-based WorkflowsData DrivenProblem-solvingCommunicationTeamworkAdaptabilityDigital AssetsWeb3Crypto AssetsConsumer SalesMarketingE-commerceWholesaleResellersSell-outPerformance MarketingPricingPromotional CampaignsMarketing CampaignsCustomer Value

About the role

Original posting from Ledger via Ashby

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 http://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.

Source: Ledger careers (Ashby)

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