Senior Analytics Engineer

Senior Analytics Engineer 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 The Data team is responsible for leveraging data to drive strategic business decisions and enhance our product offerings. As a core member, you will be responsible for end-to-end data projects—from defining metrics and building robust data pipelines to deploying analytical models. Your insights will be essential for monitoring company performance, understanding user behavior across various protocols, and contributing directly to Ledger's growth and security strategies. If you are a data professional passionate about the intersection of data science and the cutting-edge Web3 ecosystem, and you want to work in an environment that champions innovation, security, and decentralization, this role is for you. What you’ll be doing - Data Architecture & Modeling: Design, build, and maintain robust, scalable data pipelines (ELT) using dbt and Airflow, ensuring our Snowflake warehouse is optimized for both performance and clarity. - Complex Data Mapping: Bridge the gap between raw, unstructured technical data (including on-chain events) and clean, actionable business entities. - Stakeholder Partnership: Act as a technical partner to Product, Engineering, and Finance teams, translating high-level business questions into technical requirements and analytical frameworks. - Analytics Engineering Excellence: Implement version control, CI/CD for data, and automated testing to ensure the highest levels of data quality and reliability. - Strategic Insights: Perform deep-dive analyses to track revenue, identify user segments, and optimize product features in an industry that moves at lightning speed. What we're looking for - Experience: 4+ years (Senior level) of professional experience in Analytics Engineering, Data Engineering, or a Data Science role. - SQL Mastery: Exceptional proficiency in SQL. You should be comfortable with complex window functions, performance tuning, and modeling in Snowflake. - Modern Data Stack: Deep experience with dbt (data modeling, macros, testing) and workflow orchestrators like Airflow. - Python Proficiency: Strong programming skills in Python for data manipulation, automation, and building data-intensive applications. - Engineering Mindset: You treat data code like software—version control (Git), documentation, and modularity are second nature to you. Bonus points - Curiosity for Web3: You don't need to be a blockchain expert yet, but you should be excited to learn how Ethereum, Bitcoin, and DeFi protocols function. - Advanced Analytics: Experience with time-series analysis, anomaly detection, or predictive modeling. - Blockchain Exposure: Any previous experienc ... (truncated, view full listing at source)