Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyze complex blockchain datasets and create actionable insights for trading strategies.
- Company: Join a cutting-edge crypto hedge fund focused on data-driven strategies in digital asset markets.
- Benefits: Collaborate with top researchers, work with advanced tools, and enjoy a dynamic work environment.
- Why this job: Make a direct impact on trading strategies while working in the exciting world of crypto.
- Qualifications: Strong skills in Python, SQL, and blockchain analytics; proactive mindset and team player.
- Other info: Opportunity to learn rapidly and adapt to new blockchain data sources.
The predicted salary is between 48000 - 84000 £ per year.
Senior On-Chain Data Analyst
Hermeneutic Investments London, United Kingdom
We are a forward-thinking crypto hedge fund leveraging cutting-edge technology and data-driven strategies to capitalize on opportunities in the digital asset markets. Our data analytics team is critical to our success, supporting our research and trading teams with on-chain insights and actionable analytics.
This is an opportunity to:
- Work with complex blockchain datasets across multiple chains and L2s.
- Build dashboards and reports to support trading strategies.
- Create data-driven signals and metrics to inform decision-making.
- Collaborate with top researchers and traders in the crypto space.
This role will directly impact the research and trading strategy by creating clean, reliable data systems and actionable on-chain analytics.
Responsibilities
Data Collection, Cleaning & Integration: Collect, clean, and integrate large datasets from various on-chain and off-chain sources across multiple blockchains. Utilize advanced tools and techniques to ensure data quality and comprehensiveness, facilitating a deep understanding of tokenomics, fund allocations, and investment patterns.
Advanced Data Analysis & Trend Identification: Analyze integrated datasets to extract key metrics, identify trends, correlations, and anomalies. Provide actionable insights that drive strategic decision-making and enhance organizational understanding of market dynamics.
Algorithm Development for Wallet Attribution: Develop and implement algorithms to attribute on-chain wallets to major players by analyzing wallet behavior using graph analytics techniques. Leverage network analysis to accurately identify and categorize key market participants, enhancing the organization’s ability to monitor and engage with significant entities in the blockchain ecosystem.
Efficient Coding & Real-Time Data Monitoring: Develop and maintain efficient scripts to parse raw data from RPC nodes. Implement real-time monitoring of relevant on-chain events to ensure timely data availability and accuracy for ongoing analysis.
Dashboard Development & Maintenance: Create and manage comprehensive internal dashboards across multiple blockchains. Enable cross-functional teams to effectively measure and track token metrics and activities through intuitive and up-to-date visual tools.
Proactive Data Exploration: Independently identify and seize opportunities for advanced data analysis. Extract and interpret data proactively to support strategic initiatives and achieve organizational goals.
Adaptability & Rapid Learning: Quickly learn and adapt to new blockchain data sources within limited timeframes. Provide actionable insights to research and trading teams to capitalize on emerging market opportunities, ensuring the organization remains agile and responsive to market changes.
Qualifications
Personal Attributes
- Highly self-motivated team player with a proactive mindset.
- Strong sense of ownership, consistently delivering high-quality work.
- Strong cross-functional skills and ability to operate in ambiguous and fast-moving problem spaces.
- Capable of quickly learning and applying new tools, technologies, and proprietary systems.
Technical Stack
- Blockchain: Web3.py, blockchain RPCs
- Data Processing: The Graph, Dune Analytics
- Graph Analytics Tools: Neo4j
- Data Warehouse: Snowflake, PostgreSQL
- Data Transformation: dbt
- Programming: Python, SQL
Interview Process
- CV Screening – Against the criteria above
- First interview with the Hiring Manager – Covering both technical and cultural fit
- (Technical Skills) System Design Challenge (focused on blockchain data)
- Team Fit Interviews – Often on-site. Interview with our researchers and rest of team.
To increase your chances of entering our interview process, please include in your application, your specific:
- Experience with specific blockchain data structures and protocols
- Examples of blockchain data pipelines you’ve built
- Understanding of DeFi mechanics and on-chain analytics
Throughout the process, you’ll be assessed on:
- Blockchain Expertise – Deep understanding of blockchain data structures
- Technical Excellence – Strong SQL, Python, and visualization skills
- DeFi Knowledge – Understanding of crypto trading mechanics
- Research Support – Ability to work with quant researchers
- Problem Solving – Design of blockchain-specific solutions
#J-18808-Ljbffr
Senior On-Chain Data Analyst employer: Hermeneutic Investments
Contact Detail:
Hermeneutic Investments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior On-Chain Data Analyst
✨Tip Number 1
Make sure to showcase your experience with specific blockchain data structures and protocols during the interview. Be prepared to discuss how you've utilized these in past projects, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the tools mentioned in the job description, such as Web3.py, The Graph, and Neo4j. Having practical knowledge of these technologies will not only help you in the interview but also show that you're proactive and ready to hit the ground running.
✨Tip Number 3
Prepare to discuss examples of blockchain data pipelines you've built. Highlight the challenges you faced and how you overcame them, as this will illustrate your problem-solving skills and technical excellence.
✨Tip Number 4
Stay updated on the latest trends in DeFi and on-chain analytics. Being able to discuss current market dynamics and how they relate to your work will show your passion for the field and your ability to adapt to rapid changes.
We think you need these skills to ace Senior On-Chain Data Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with blockchain data structures and protocols. Include specific examples of blockchain data pipelines you've built, as this will demonstrate your hands-on expertise.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and any visualization tools you have used. Mention any relevant projects or dashboards you have developed that showcase your technical excellence.
Demonstrate Understanding of DeFi: Include insights into your understanding of DeFi mechanics and on-chain analytics. This could be through previous work experiences, personal projects, or research that highlights your knowledge in the crypto trading space.
Tailor Your Application: Customize your CV and cover letter to reflect the responsibilities and qualifications mentioned in the job description. Use keywords from the listing to ensure your application aligns with what the company is looking for.
How to prepare for a job interview at Hermeneutic Investments
✨Showcase Your Blockchain Knowledge
Be prepared to discuss your experience with specific blockchain data structures and protocols. Highlight any projects where you've worked with complex datasets, as this will demonstrate your expertise in the field.
✨Demonstrate Technical Skills
Make sure to brush up on your SQL and Python skills before the interview. Be ready to solve technical challenges or provide examples of how you've used these languages in past projects, especially in relation to data processing and visualization.
✨Prepare for System Design Challenges
Expect a system design challenge focused on blockchain data. Think about how you would approach building data pipelines or dashboards, and be ready to explain your thought process clearly and logically.
✨Emphasize Team Collaboration
Since this role involves working closely with researchers and traders, highlight your ability to collaborate effectively. Share examples of how you've contributed to team projects and how you adapt to different working styles.
