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Tech Stack
Tools & technologiesETLSQLTableau
About the role
Key responsibilities & impact- Gather data from databases, APIs, and spreadsheets and ensure it is accurate, complete, and relevant
- Contribute to the data pipeline by building and maintaining transformation logic for analysis-ready datasets
- Use statistical techniques and data visualization to uncover trends, patterns, and correlations
- Create dashboards, reports, and charts that communicate findings clearly
- Work with product managers, engineers, and stakeholders to define key metrics and provide data-driven recommendations
- Ensure data is secure, well-documented, and accessible
- Analyze on-chain and off-chain product data to understand user journeys, retention, churn, market share, competing products, asset movement, and product opportunities
- Influence product improvements, new features, integrations, and market expansion strategy
Requirements
What you’ll need- 5+ years of experience in data analysis or engineering involving large amounts of different types of data
- Experience with hypothesis testing, A/B testing, and other statistical methods
- Proficiency in at least one programming language for data cleaning, transformation, and analysis
- Strong skills in writing and optimizing SQL queries
- Experience with business intelligence tools such as Tableau, Power BI, Looker, or similar
- Solid experience using Excel or Google Sheets for quick analysis and pivot tables
- Experience integrating AI tools (e.g. Claude Code) into an engineering workflow
- Basic understanding of ETL processes and tools
- Fintech/banking/insurance industry experience is nice to have
- Experience with processing blockchain data (e.g. using data from Dune, Solscan, etc.) is nice to have
Benefits
Comp & perks- Remote or office – up to you
- Flexible work environment based on trust
- Flexible work time
- Individual education budget
- Cool team buildings
- Private health insurance
- Crypto training and growth opportunities
