Senior Data Analyst

MoonPay

Senior Data Analyst leveraging data analysis to shape MoonPay's product and business decisions. Collaborating closely with product and engineering teams within a high-impact financial and crypto organization.

Posted 7/20/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and modeling, with a strong focus on SQL, data visualization, and statistical methods. Capable of communicating complex insights effectively to diverse stakeholders while driving data-driven decision-making in a fintech environment.

Highest-signal resume keywords

Advanced SQLData VisualizationData Modeling in dbt and BigQueryExperiment Design and InterpretationPayments and Fraud Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsA/B TestingQuasi-Experimental MethodsData Quality Assurance

Soft Skills

Exceptional CommunicationStakeholder ManagementProject Leadership

Tools & Technologies

DbtBigQueryLookerPythonAI-Assisted Tools

Industry Keywords

PaymentsFintechFraud AnalyticsKYC/AMLCrypto-Native Perspective

Tech Stack

Tools & technologies

BigQueryCloudPythonSQL

About the role

Key responsibilities & impact

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 BigQuery 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.

Requirements

What you’ll need

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 BigQuery, 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.
Familiarity with our stack (dbt, BigQuery, 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.
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

Comp & perks

Competitive salary package
Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay
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, ChatGPT, 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
(Ireland) Cycle to Work scheme: tax-efficient bike, gear, and safety kit
(UK) EV Salary Sacrifice: lease an electric vehicle through pre-tax salary