Analytics Engineer
Own analytics across consumer sales scope in Snowflake for Ledger.com and marketplaces
Own analytics across the full consumer sales scope including Ledger.com e-commerce, Amazon marketplaces, wholesale and resellers/distributors, covering both sell-in and sell-out with a consistent view of revenue, units and margin reconciled in Snowflake. Develop and improve data models using dbt and Snowflake across sales, sell-out, marketing and web analytics sources. Build and maintain Tableau dashboards for business stakeholders covering e-...
Why This Role?
Join a global team securing over 20% of the world’s crypto assets through Ledger devices
Key Responsibilities
- Own analytics across consumer sales scope including Ledger.com, Amazon, wholesale and resellers
- Develop and improve data models using dbt and Snowflake across varied data sources
- Build and maintain Tableau dashboards for business stakeholders
- Own measurement of performance marketing channels including SEM, Google Ads, affiliation and Amazon Ads
- Co-own data quality alerting for SKU, refunds and sales anomalies
- Measure the true impact of marketing initiatives across GA4, ad platforms and internal sales data
Requirements
- Experience with dbt for data modeling
- Proficiency in Snowflake as a data warehouse
- Experience building and maintaining Tableau dashboards
- Knowledge of GA4 and ad platforms for performance marketing measurement
- Ability to reconcile discrepancies between data sources
- Experience working with sales, sell-out, marketing and web analytics data
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Ashby Job BoardsShow more
Original description from Ashby Job Boards
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.
Salary Context
Similar Engineering roles on LokerDollar pay around $170k/yr (range $1k–1000k/yr, n=817 active listings).
Hiring at Ledger
Ledger has 4 other active roles on LokerDollar and has been hiring here since May 30, 2026 — across Engineering, Product, Marketing, Data & Analytics.
- Senior Product Manager - Earn
- CRM Lifecycle Specialist
- Total Rewards Specialist – Contractor (6 months)
Market context
- ESTIMATEEstimated pay is 10% above the role median of $170,000/year (n=817 pay-disclosing listings).
- VERIFIEDLedger: 14 postings in the last 3 months, 20 all-time on LokerDollar.
- VERIFIEDCompany first seen May 30, 2026.
- VERIFIEDThis listing first seen Sep 29, 2026.
- VERIFIEDLast verified live Sep 29, 2026.
Openness not stated by employer — check the listing
Frequently asked questions
- Is Analytics Engineer at Ledger a remote job?
- Yes, Analytics Engineer at Ledger is remote, but the employer did not state which countries can apply. Check the listing before applying.
- What type of employment is Analytics Engineer at Ledger?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Ledger.
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