Data Analytics (Blockchain)

Join our team as a Data Analyst specializing in Blockchain. In this hybrid role, you will work across the entire data stack, from pipeline development to statistical modeling. You will build and maintain data pipelines, develop statistical models, create self-serve analytics tools, design experiments, and partner with various teams to identify opportunities and measure impact. You should have advanced SQL skills, proficiency in Python, experience with modern data stack tools, and a strong understanding of data modeling principles. Familiarity with blockchain data and previous experience in data roles within blockchain/Web3 organizations is a plus.

• Concevoir et maintenir des pipelines de données qui alimentent à la fois des analyses ad hoc et des tableaux de bord de production.
• Développer des modèles statistiques et des solutions de science des données tout en mettant en œuvre l'infrastructure pour les déployer.
• Créer des outils d'analyse en libre-service et des ensembles de données qui permettent aux parties prenantes de l'organisation de prendre des décisions éclairées.
• Values being able to see their analyses through to production impact
• Thrives in environments where they can wear multiple hats
• Gets excited about both building robust data infrastructure AND discovering insights
• Wants ownership over the entire data value chain
• We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses
• This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them
• Advanced SQL skills and high proficiency in Python for both data analysis and engineering
• Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
• Understanding of data modeling principles (Kimball, Data Vault, or similar)
• Experience with cloud data platforms (AWS, GCP, or Azure)
• Proven ability to design and manage ETL pipelines and database architectures
• Experience with A/B testing, causal inference, and experimental design
• Ability to communicate complex findings to non-technical stakeholders
• Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
• Track record of using data to influence business strategy
• Ability to work with on-chain data to derive actionable insights
• Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
• Hands-on experience with blockchain data extraction, transformation, and analysis
• Experience with marketing analytics and attribution modeling
• Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
• Experience with data visualization tools (Tableau, Looker, or similar)
• Previous experience in data roles within blockchain/Web3 organizations