Opportunity Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Data Scientist & Analytics Engineer

Ledger ledger.com Open
Hybrid Paris Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Ledger. Paris · full-time · no salary stated · we estimate €51,313–€63,375.

Estimated pay

Ledger has not published a salary for this role. The figure below is our estimate, not theirs.

€51,313 – €63,375
What the middle half of mid-level data analysis & BI roles in Paris paid, among postings that did state a salary.
Worked out from 8 postings that stated pay, median €55,250. Last updated Nov 5, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationParis
WorkplaceHybrid
EmploymentFull-time
PostedSep 28, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Bring sales figures from Ledger.com, Amazon, wholesale and resellers into one view of revenue, units and margin
  • Test pricing, promotions and campaign impact with causal methods, then recommend how Growth should allocate budget
  • Build dbt and Snowflake models from sales, marketing and web data, while helping monitor data quality
  • Reconcile ad platforms, GA4 and sales data to measure attribution, ROAS and CAC in Tableau dashboards
  • Model customer lifetime value and repeat purchasing, then use the findings to inform marketing returns

What you bring

  • You have two to four years in analytics, analytics engineering or data science
  • You have applied data science to business choices, using causal studies or predictive models that changed pricing or budgets
  • You can design experiments, assess uncertainty and power, and explain when results show no measurable impact
  • Strong SQL and dbt ability are sought; Tableau experience and marketing or web analytics familiarity are pluses

Who this fits

This role suits someone who combines hands-on statistical work with commercial recommendations and can challenge how stakeholders measure results. You’ll work in a hybrid setup in Paris, with work-from-home flexibility of up to three days a week.

From the employer

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 consumer sales analytics end to end: Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin

  • Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team

  • 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

  • Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth

  • Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance

  • Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions

  • Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery

  • Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level

What we’re looking for:

  • Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision

  • Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect

  • 2 to 4 years of experience in data analytics, analytics engineering or data science

  • Strong SQL

  • dbt skills are a plus

  • Tableau skills are a strong plus

  • Data driven and business oriented; able to challenge stakeholders' methodology

  • Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus

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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.