Data Analyst - Onchain
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Key skills for this role
About the Role
Kraken is looking for a Data Analyst to join the Onchain team, turning raw blockchain data into insights and strategy. You will partner with product and trading teams, build datasets, design metrics, and analyze onchain signals.
Key Skills for This Role
Responsibilities
- Partner with product, trading, and data teams to uncover insights across the full onchain user journey from first trade to long term retention
- Build and maintain datasets capturing wallet activity, liquidity movement, feature usage, and trading behavior
- Design metrics and dashboards in dbt and BI tools that reveal trends in user growth, engagement, and trading activity
- Analyze funnels, LTV, and retention metrics to inform product strategy and optimize user experience
- Investigate onchain signals (wallet clustering, transaction flow, and capital allocation) to identify growth opportunities
- Develop frameworks to attribute trading performance and ROI across products, markets, and user segments
- Collaborate with engineers to scale onchain data pipelines and improve data quality and accessibility
- Communicate insights clearly and visually, translating complex blockchain data into simple, actionable stories
Requirements
- 3+ years in product or trading analytics, ideally within crypto, fintech, or data driven trading environments
- Strong grasp of onchain fundamentals wallets, DEXs, liquidity, bridges, and token mechanics
- Proficiency in SQL, Python (pandas, matplotlib, plotly), and dbt for modeling and analysis
- Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly
- Familiarity with onchain data sources (Dune, Flipside, Nansen, APIs, or subgraphs)
- Proven ability to measure user behavior and product health through LTV, retention, funnel, and engagement metrics
- Strong communicator who can align data insights with product and trading strategies
- Crypto native curious, analytical, and hands on with the tools and products you analyze
Full Job Posting
Overview
- Data Analyst, Onchain At Kraken, onchain data isn't just numbers, it's the pulse of crypto.
- The Onchain team lives where code meets capital, turning raw blockchain data into insight, strategy, and alpha.
Responsibilities
- Partner with product, trading, and data teams to uncover insights across the full onchain user journey from first trade to long term retention.
- Build and maintain datasets capturing wallet activity, liquidity movement, feature usage, and trading behavior.
- Design metrics and dashboards in dbt and BI tools that reveal trends in user growth, engagement, and trading activity.
- Analyze funnels, LTV, and retention metrics to inform product strategy and optimize user experience.
- Investigate onchain signals (wallet clustering, transaction flow, and capital allocation) to identify growth opportunities.
- Develop frameworks to attribute trading performance and ROI across products, markets, and user segments.
- Collaborate with engineers to scale onchain data pipelines and improve data quality and accessibility.
- Communicate insights clearly and visually, translating complex blockchain data into simple, actionable stories.
Qualifications
- 3+ years in product or trading analytics, ideally within crypto, fintech, or data driven trading environments.
- Strong grasp of onchain fundamentals wallets, DEXs, liquidity, bridges, and token mechanics.
- Proficiency in SQL, Python (pandas, matplotlib, plotly), and dbt for modeling and analysis.
- Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly.
- Familiarity with onchain data sources (Dune, Flipside, Nansen, APIs, or subgraphs).
- Proven ability to measure user behavior and product health through LTV, retention, funnel, and engagement metrics.
- Strong communicator who can align data insights with product and trading strategies.
- Crypto native curious, analytical, and hands on with the tools and products you analyze.
Nice to Have
- Experience modeling MEV flows, liquidity provisioning, or token distribution mechanics.
- Exposure to algo trading, onchain market making, or portfolio attribution systems.
- Contributions to open source DeFi analytics or onchain dashboards.
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