About the RoleWe'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. You'll work across the entire data stack - from pipeline development to statistical modeling.
Leveling is flexible based on experience.Responsibilities- Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
- Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
- Create self-serve analytics tools and datasets that empower stakeholders across the organization
- Design experiments and perform statistical analyses to measure product and marketing initiatives
- Build data models in our warehouse that balance analytical flexibility with performance
- Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
- Own the full lifecycle of data products - from initial exploration to production deployment
Requirements: Core Technical Skills- Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
- Proven ability to design and manage ETL pipelines and database architectures
- Advanced SQL skills and high proficiency in Python for both data analysis and engineering
- Understanding of data modeling principles (Kimball, Data Vault, or similar)
- Experience with cloud data platforms (AWS, GCP, or Azure)
Requirements: Analytical & Data Science Expertise- Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
- Experience with A/B testing, causal inference, and experimental design
- Ability to communicate complex findings to non-technical stakeholders
- Track record of using data to influence business strategy
Requirements: Blockchain & Web3 Experience- Hands-on experience with blockchain data extraction, transformation, and analysis
- Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
- Ability to work with on-chain data to derive actionable insights
Bonus Points- Experience with marketing analytics and attribution modeling
- Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
- Previous experience in data roles within blockchain/Web3 organizations
- Experience with data visualization tools (Tableau, Looker, or similar)
This position is ideal for someone who...- Gets excited about both building robust data infrastructure AND discovering insights
- Wants ownership over the entire data value chain
- Thrives in environments where they can wear multiple hats
- Values being able to see their analyses through to production impact
Benefits- Competitive Salary
- Health Insurance - (US Only)
- 401(k) - (US Only)
- Remote Work Environment
- Maternity/Paternity Leave
$80,000 - $150,000 a year
The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.
