About the company
Founded in Paris in 2014, LEDGER is a global platform for digital assets and Web3. Ledger is already the world leader in Critical Digital Asset security and utility. With more than 6M devices sold to consumers in 200 countries and 10+ languages, 100+ financial institutions and brands as customers, 20% of the world’s crypto assets are secured, plus services supporting trading, buying, spending, earning, and NFTs. LEDGER’s products include: Ledger Stax, Nano S Plus, Nano X hardware wallets, LEDGER Live companion app, [ LEDGER ] Market, the world’s first secure-minting and first-sale distribution platform, and Ledger Enterprise. With its ease of use, LEDGER allows a user to begin investing in digital assets and ultimately, achieve financial freedom in a safe and stress-free environment.
Job Summary
What you’ll be doing
📍Design, build, and maintain robust, scalable data pipelines (ETL/ELT) using tools like dbt and Airflow 📍Perform in-depth analysis of large-scale, complex blockchain data (on-chain and off-chain) to uncover key trends and optimize product features 📍Partner with Product, Engineering, and Finance teams to translate business questions into analytical frameworks and deliver actionable recommendations 📍Monitor company performance, track revenue, and identify user segments to support strategic direction 📍Design and maintain BI dashboards using tools like Tableau 📍Ensure data quality and accessibility for the entire organization 📍Master a cutting-edge technical stack (Python, Snowflake, DBT, Airflow, Generative AI tools)
What we're looking for
📍2+ years of professional experience in a Data Scientist, Data Engineer, or relevant analytical role 📍Exceptional proficiency in SQL for complex data extraction, manipulation, and optimization 📍Significant experience with Python for statistical analysis, modeling, and building data-intensive applications 📍Proven experience in building and optimizing scalable data pipelines using dbt and Airflow 📍Direct experience working with public blockchain data (Ethereum, Bitcoin, Layer 2s, DeFi protocols) is a significant advantage 📍Experience with machine learning, time-series analysis, or predictive modeling is a plus 📍Excellent ability to communicate technical findings and methodologies to non-technical audiences 📍Strong interest in cryptocurrencies, blockchain technology, and the Web3 ecosystem
Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, web3 innovations, and remote opportunities.
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