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On-Chain Data Analyst

1 month, 2 weeks ago
United States, United Kingdom
Full-time
Senior
Data Analyst
Data Science and Analytics
Python SQL
Apply Now

hermeneutic Investments

A proprietary trading firm and hedge fund that deploys event-driven long/short discretionary and systematic strategies and also makes strategic long-term investments.

Technology, Information and Internet
11-50
View All Jobs 3

Description

  • Build and maintain EVM-chain attribution and labeling datasets, including address labels, entity clustering, and quality assurance.
  • Translate ambiguous research questions into reproducible datasets and analytical workflows for ongoing research.
  • Track token supply and distribution, exchange flows, and entity-level behavioral views used by researchers.
  • Systematize coverage of token launches, airdrops, and distribution events using reusable templates and frameworks.
  • Support handoff of infrastructure components such as the label database and on-chain monitor to the Data Platform Team.
  • Write technical specifications and documentation to bridge research and engineering during transition phases.
  • Validate research assumptions, edge cases, and data correctness in analysis outputs and dashboards.
  • Conduct exploratory analysis to identify behavioral patterns, reduce noise, and surface market-relevant signals.

Requirements

  • 6+ years of experience working with EVM-based blockchain data and on-chain analytics.
  • Proficiency in SQL and Python for dataset building, validation, and workflow automation.
  • Experience with address attribution, entity clustering, or large-scale behavioral analysis.
  • Proven ability to perform data validation, QA, and edge-case quantification for research-grade data quality.
  • Strong curiosity about crypto markets, on-chain behavior, and emerging protocols.
  • Strong judgment and prioritization skills across multiple research initiatives in dynamic market conditions.
  • Business- and market-curious, with interest in how on-chain behavior translates into real-world market outcomes.
  • Motivated to grow toward deeper research ownership as engineering responsibilities transition.
  • Self-directed and adaptable, with ability to navigate shifting priorities in fast-moving environments.

Interested in this position?

Apply directly on the company website

Apply Now

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