Senior Data Analyst - Intelligence

E
EllipticFinTech
Almost anywhereFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLDatabricksPySpark

Requirements

  • Has a STEM degree.
  • Has experience handling end-to-end data projects, from data extraction to creating narratives passing by creating compelling dashboards.
  • Is comfortable querying data with SQL and Python.
  • Experience conducting qualitative and quantitative research in a complex domain, ideally digital assets or adjacent fields.
  • Comfort moving from ambiguous questions to structured plans and decision‑ready outputs.
  • Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services.
  • Highly curious and sceptical.
  • Explain complex work with clarity and confidence, adapting depth to the audience.
  • Care about visual clarity as much as analytical correctness.
  • Rigorous, curious, and sceptical — you pursue evidence to ground truth.
  • Enjoy collaborating across Data, Marketing, Revenue and Product.
  • Very interested in Cryptocurrencies.

Responsibilities

  • Lead mixed-method research on crypto ecosystems and behaviours, combining quantitative analysis with strong domain context.
  • Design clear, accurate visuals and written narratives for reports, blogs, briefings, talks, and customer materials.
  • Build analysis assets and tools that Marketing and Communications can use across campaigns and channels.
  • Be a key part of our Intelligence organisation to validate findings and ensure methodological rigour and relevance.
  • Support Product with evidence on problems, opportunities, and outcome metrics grounded in Intel data.
  • Provide Marketing and Revenue with concise analyses and visuals that clarify trends, value, and risk for prospects and customers.
  • Maintain the highest standards for data quality, documentation, and reproducibility.
  • Create notebooks, datasets, and dashboards that make recurring analyses faster and easier to reuse.
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