Data Analyst
About the Role
You will generate actionable insights from complex datasets including product event logs, on-chain data and social data. You will collaborate with product managers, designers and engineers to understand data needs, model data in dbt to create trusted metrics, and tell data-driven stories through clear visualizations. You will contribute to building analytics capabilities with AI tools, set data standards and optimize processes, and manage the analytics lifecycle from inception to delivery and ongoing support.
Requirements
- At least 5 years of full-time experience as a data analyst, product analyst, or data scientist
- Highly proficient in SQL and Python
- Highly proficient with dbt
- Proficient with at least one data visualization product (Looker, Superset/Preset, Tableau, Mixpanel)
- Demonstrable interest in Web3 and blockchain technology
- Experience working with on-chain data, including EVM, SVM and UTXO
- Familiarity with event logging tools such as GTM and Segment
- Excellent written and verbal communication skills, including experience communicating to senior leadership
- Ability to think strategically, navigate ambiguity, formulate analytical hypotheses, and execute with urgency
- Background in descriptive and inferential statistics is desirable
- Subject to background checks including employment, education and criminal record checks
Responsibilities
- Generate actionable insights from complex datasets including event logs and on-chain data
- Collaborate with product managers, designers and engineers to understand and anticipate data needs
- Model data in dbt to create trusted sources of truth and measurable metrics
- Design and deliver compelling data visualizations and data-driven stories
- Enhance analytics capabilities using AI tools
- Set data standards, optimize analytics processes, and drive adoption of best practices
- Manage the analytics lifecycle from inception through delivery and ongoing support