Analytics Manager - Blockchain & Web3
Build and maintain robust data pipelines and engineering systems that power analyses and production dashboards. Develop and deploy statistical models and data science solutions, create self-serve analytics tools and datasets, design experiments, build warehouse data models, partner with stakeholders, and own data products from exploration through production deployment.
Responsibilities
- Build and maintain data pipelines for analyses and dashboards
- Develop statistical models and data science solutions and deploy them to production
- Create self-serve analytics tools and datasets for stakeholders
- Design experiments and perform statistical analyses to measure initiatives
- Build and optimize data models in the warehouse
- Partner with product, marketing, and leadership to identify opportunities and measure impact
- Own the full lifecycle of data products from exploration to production deployment
Requirements
- Experience with modern data stack tools such as dbt, Airflow, Dagster, Snowflake, BigQuery, or Redshift
- Proven ability to design and manage ETL pipelines and database architectures
- Advanced SQL skills
- High proficiency in Python for data analysis and engineering
- Understanding of data modeling principles including Kimball or Data Vault
- Experience with cloud data platforms such as AWS, GCP, or Azure
- Strong statistical analysis skills using pandas, NumPy, and scikit-learn
- Experience with A/B testing, causal inference, and experimental design
- Ability to communicate complex findings to non-technical stakeholders
- Hands-on experience with blockchain data extraction, transformation, and analysis
- Understanding of EVM concepts, transactions, events, and smart contracts
- Ability to work with on-chain data to derive actionable insights
Benefits
- Competitive Salary
- Health Insurance (US Only)
- 401(k) (US Only)
- Remote Work Environment
- Maternity/Paternity Leave