Responsibilities

📍Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments 📍Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits 📍Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives 📍Processing confidential data and information according to guidelines 📍Managing and designing the reporting environment, including data sources, security, and metadata 📍Troubleshooting the reporting database environment and reports

Requirements

📍Bachelor’s degree from an accredited university or college in Computer Science or Math or Statistics 📍Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs 📍Experience with data querying using languages such as SQL, GraphQL, Python 📍Able to commit minimum 3 days per week for at least 6 months 📍Understands project tokenomics and has good knowledge of the DeFi and Web 3.0 infrastructure landscape 📍Experience in using tools such as Dune analytics, Nansen etc 📍Understanding of addressing and metadata standards 📍High-level written and verbal communication skills