At a Glance
- Tasks: Shape product decisions through data analysis and drive impactful insights.
- Company: Join MoonPay, a leader in the crypto space with a high-performance culture.
- Benefits: Competitive salary, equity options, flexible time off, and wellness perks.
- Other info: Remote work across Europe with opportunities for career growth and mentorship.
- Why this job: Make a real impact in the fast-paced world of fintech and crypto.
- Qualifications: 5+ years as a data analyst, advanced SQL skills, and strong communication abilities.
The predicted salary is between 60000 - 80000 £ per year.
About Moon Pay
Moon Pay is for builders with something to prove.
This isn't a \"work on cool crypto stuff\" company.
It's a high-standards, high-velocity, high-accountability company building the operating system for value movement.
If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next.
Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us.
Licensed in the U.
Regulated across the UK, EU, Canada, and Australia.
AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.
You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.
The bar is high. The pace is real. We're building for what's next, for humans and agents.
Recent recognition
- Forbes' America's Best Startup Employers 2026.
- 2nd in Crypto Services on Fortune's inaugural Crypto 100.
- The Sunday Times Best Places to Work two years running.
Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas.
Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match.
Skills can be learned, diversity cannot.
- Locations Supported
- London, UK (primary)
- Remote (Europe)
- Relocation available: Case by case
Work pattern
- Remote across Europe, with hybrid working encouraged if you're near a Moonbase (around 2 to 3 days per week in the London office).
- About the Opportunity
In this role, you'll help shape Moon Pay's product and business decisions through data, combining deep analysis, experimentation, and strong stakeholder partnership to drive real impact.
You'll sit within our centralised Product Data team and work closely with Product and Engineering, owning analytics across the full product lifecycle, from defining problems and success metrics through to launching, measuring, and optimising products at scale.
Your work will directly influence product strategy, customer experience, and business health, helping teams make better, faster decisions through trusted insights and clear narratives.
You'll also raise the leverage of the whole team by building reusable, AI-assisted analytics skills that let the wider org self-serve reliable answers.
This is a great opportunity for someone who enjoys turning complex data into clear direction, influencing decisions, and helping shape the future of high-impact financial and crypto products.
What You Will Do
- Partner with product and business teams to run rigorous analysis (root cause, opportunity sizing, funnel drop-off) and turn it into clear, prioritised recommendations, moving across problem areas as priorities shift.
- Define, document, and maintain clear metric definitions and business context, so stakeholders can understand the performance of their area and AI tools can interpret our metrics correctly (e. g.
Transaction Success Rate, Fraud Rate).
- Set up tracking and monitoring for new launches and changes, and quantify and measure their impact on KPIs.
- Build and maintain a reporting layer, with automated alerting and root cause analysis that flags when KPIs move unexpectedly and why.
- Design, run, and interpret experiments, from A/B tests to quasi-experimental methods like difference-in-differences when randomisation isn't possible.
- Model robust, trusted data in our dbt and Big Query layer, safeguarding its quality through testing, documentation, and certification in collaboration with engineering.
- Create reusable, AI-assisted analytics skills that scale the team's impact and help Product and Engineering self-serve.
- Communicate complex concepts and findings to technical and non-technical audiences across different teams, while ensuring clarity and understanding to drive critical business decisions.
About You
- Must-have experience and skills
- 5+ years of hands-on experience as a data analyst or data scientist, preferably in a product-focused role.
- Advanced SQL and data visualisation are second nature to you.
- Hands-on experience building data models in a modern cloud warehouse and transformation framework (e. g. dbt with Big Query, Snowflake), with a strong instinct for data quality.
- A solid grasp of statistics and probability, including experiment design and interpretation (A/B and quasi-experimental methods such as difference-in-differences).
- A working understanding of how a payments or fintech business operates, including fraud, chargebacks, KYC/AML, and payment success rates.
- Comfort using AI-assisted and LLM tools to accelerate analysis, and curiosity about building reusable skills that scale your impact.
- Exceptional communication and stakeholder skills. You can distill complex findings for any audience up to C-level, and lead projects independently.
- Nice-to-have experience
- Familiarity with our stack (dbt, Big Query, Looker, Python) and AI tooling such as Claude Code.
- Hands-on financial crime, payments, or fraud analytics experience.
- Experience working in start-ups or scale-ups.
- Bonus Points
- A crypto-native perspective and experience with on-chain and blockchain data (e. g. Dune, Flipside, Chainalysis).
- Experience making data self-serve for non-analysts (e. g. semantic layers, metric stores).
Benefits & Perks
- Competitive salary package
- Equity package: financial freedom starts with our employees, so all employees have ownership at Moon Pay
- Pay-for-performance equity bonus: those who drive outsized outcomes receive outsized rewards
- Moonshot award: we honor exceptional impact. 10 employees twice a year, each earning a $250,000 equity grant
- Pension: employer contributions from day one
- Employee referral program: refer great people, earn 10K in USDC
- Flexible Time Off: choose when to work and when to switch off
- Birthday leave: take the day off to celebrate you
- Enhanced parental leave: more time with family, no second thought
- Hybrid working schedule: work fully remotely or from your nearest Moonbase
- Commuter benefits: public transport to and from the office
- Private healthcare benefits: to protect you and your loved ones
- Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership
- Unlimited enterprise access to the latest AI tools: Claude, Chat GPT, Gemini and whatever's next
- Lunch credit: meals covered on the days you're in the office
- Home office setup allowance: build the home office of your dreams
- Remote working allowance: those working fully remotely get a little extra for utilities
- Monthly product budget and zero-fee crypto transactions
- $1,000 Annual training budget: we support your learning journey
- High Potential Program: structured development, mentorship, and stretch opportunities
- Regular remote company offsites: high-impact in-person sessions and hackathons
- Cycle to Work scheme: tax-efficient bike, gear, and safety kit
- EV Salary Sacrifice: lease an electric vehicle through pre-tax salary
- #J-18808-Ljbffr
Senior Data Analyst in London employer: MoonPay Inc.
MoonPay is an exceptional employer that fosters a high-performance culture, offering competitive salaries, equity packages, and unlimited holidays to support work-life balance. With a commitment to employee growth through annual training budgets and a hybrid working model, employees can thrive in a diverse and inclusive environment while contributing to innovative projects on a global scale from our London office.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MoonPay Inc.!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MoonPay Inc..
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We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MoonPay Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MoonPay Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MoonPay Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MoonPay Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
