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Senior Data Analyst

Elliptic · Remote, London, United Kingdom, GB · 5 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 from almost 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

Headquarters

Remote, London, United Kingdom

Work Location

remote

Job Category

Data Science / AI / Machine Learning

Application Deadline

Not specified

Job Type

full-time

Experience Level

senior-level

Application Method

Apply via Website

Salary

100 GBP

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