Senior Data Analyst

Elliptic
London, United Kingdom, United Kingdom
2 months ago
Applications closed

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Job Type
Permanent
Work Location
Hybrid
Seniority
Senior
Posted
4 Feb 2026 (2 months ago)

Do you want to be part of the future of value transfer? Are you excited about solving problems that have never been solved before? Are you looking for a values-led company, which cares about the growth of its employees?

The impact you will have:
Join Intel to turn Elliptic’s datasets into decisions, stories, and measurable outcomes. You’ll investigate complex patterns in digital assets, build reproducible analyses, and craft clear narratives and visuals that inform Product and Marketing, enable Sales and Policy conversations, and raise Elliptic’s voice in the market. You own the journey from raw data to a crisp story.

What you will do:

  • 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.

You will be a great fit here if you:

  • Are 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

  • Are rigorous, curious, and sceptical — you pursue evidence to ground truth

  • Enjoy collaborating across Data, Marketing, Revenue and Product

  • Are very interested in Cryptocurrencies.

Our ideal candidate:

  • 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.

Bonus Experience:

  • Databricks and PySpark

  • Strong academic background

  • Building and maintaining data pipelines

  • Capture data requirements and build ad-hoc systems

  • Public‑facing experience: bylined reports, webinars, conference speaking, or media commentary

  • Applied and advanced professional experience using data science and data exploitation techniques to analyse crime in cryptocurrency

Job Benefits

> How we work:

  • Hybrid working and the option to work fromalmost anywhere for up to 90 days per year

  • £500 Remote working budget to set up your home office space

> Learning & Development:

  • $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development

> Vacation/ Leave:

  • Holidays: 25 days of annual leave + bank holidays

  • An extra day for your birthday

  • Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave.

> Benefits:

  • Private Health Insurance - we use Vitality!

  • Full access to Spill Mental Health Support

  • Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries

  • £100 Crypto for you!

  • Cycle to Work Scheme

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