Senior/Staff Data Analyst
Role Overview
Help shape product and business decisions through data, experimentation, and stakeholder partnership.
Own analytics across the product lifecycle, from problem definition and success metrics to launch measurement and optimization.
Work within the centralized Product Data team alongside Product and Engineering.
Key Skills for This Role
Full Job Posting
Locations and Work Pattern
- The primary supported location is London, UK, with remote work available across Europe.
- Remote work is supported across Europe, with hybrid working encouraged near a Moonbase.
- People near the London office generally work there around two to three days per week.
Opportunity Overview
Help shape product and business decisions through data, experimentation, and stakeholder partnership.
Own analytics across the product lifecycle, from problem definition and success metrics to launch measurement and optimization.
Work within the centralized Product Data team alongside Product and Engineering.
Responsibilities
- Run root-cause, opportunity-sizing, and funnel analysis and turn findings into prioritized recommendations.
- Define and maintain metric definitions and business context for stakeholders and AI tools.
- Set up launch tracking and monitoring and measure changes against KPIs.
- Build reporting, automated alerting, and root-cause analysis for unexpected KPI movements.
- Design and interpret A/B tests and quasi-experimental analyses.
- Build trusted dbt and BigQuery data models with testing, documentation, and certification.
- Create reusable AI-assisted analytics skills and communicate findings to technical and non-technical audiences.
Must-Have Experience and Skills
- At least 5 years of hands-on experience as a data analyst or data scientist, preferably in a product-focused role.
- Advanced SQL and data visualization skills.
- Experience building data models in a modern cloud warehouse and transformation framework such as dbt with BigQuery or Snowflake.
- Strong understanding of statistics and probability, including experiment design and interpretation.
- Working understanding of payments or fintech, including fraud, chargebacks, KYC/AML, and payment success rates.
- Comfort using AI-assisted and large language model tools to accelerate analysis.
- Exceptional communication and stakeholder skills, with the ability to lead projects independently.
Nice-to-Have Experience
- Familiarity with dbt, BigQuery, Looker, Python, or AI tools such as Claude Code.
- Hands-on financial crime, payments, or fraud analytics experience.
- Experience working in start-ups or scale-ups.
- Crypto-native experience with on-chain or blockchain data.
- Experience making data self-serve through semantic layers or metric stores.
About MoonPay
MoonPay builds products for moving value through crypto, stablecoins, tokenized assets, and related financial products.
The company operates across regulated markets and serves customers and ecosystem partners globally.
Benefits and Perks
- Benefits include equity, performance incentives, pension contributions, flexible time off, parental leave, healthcare, wellness support, and remote-work allowances.
- Employees receive access to AI tools, training budgets, home-office support, product budgets, and remote company offsites.
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