# Senior/Staff Data Analyst at MoonPay

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Partner with Product and Engineering to

- **Company:** MoonPay (https://jobs.trythestack.co/companies/moonpay)
- **Location:** London, GB, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Data Visualization, dbt, BigQuery, Snowflake, Experiment design, A/B testing, Quasi-experimental methods, KYC/AML, Fraud detection, Payments/fintech knowledge, AI-assisted analytics
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://jobs.lever.co/moonpay/e42e3201-53dc-40a5-9d36-1fcdcc5c2d99/apply?lever-source=LinkedIn&source=LinkedIn&lever-source=LinkedInJobs&lever-origin=applied&lever-source%255B%255D=LinkedIn&_pc=193155&lever-source=LinkedInJobs (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/seniorstaff-data-analyst-moonpay

## About the role

Responsibilities:
- Partner with Product and Engineering to define problems, success metrics and hypotheses across the product lifecycle.
- Perform rigorous analyses (root-cause, funnel, opportunity sizing) and present prioritised, data-driven recommendations.
- Design, launch and analyse experiments (A/B and quasi-experimental) to validate product changes and measure impact.
- Build and maintain reusable analytics assets (dashboards, metrics, dbt models) and scale AI-assisted analytics for self-serve.
- Own tracking, instrumentation and metric definitions; ensure data quality and reliable measurement across platforms.
- Communicate complex analysis clearly to stakeholders and influence product strategy and business decisions.

Requirements:
- 5+ years in product-focused analytics, data analysis or similar role with strong stakeholder partnership experience.
- Advanced SQL skills and experience with dbt and cloud warehouses (BigQuery or Snowflake).
- Solid understanding of statistics, experiment design, and causal inference techniques for valid measurement.
- Experience with analytics tooling, data modelling, and building scalable reporting for product teams.
- Domain knowledge in payments/fintech (fraud, KYC/AML, payment metrics) is highly desirable.
- Excellent communication skills and comfort using AI-assisted tools to accelerate analysis and scale impact.

## Responsibilities

Partner with product and business teams to perform rigorous analyses, define and maintain metrics, set up tracking and experiments, and build reusable AI-assisted analytics to scale insights. Communicate findings clearly to stakeholders to influence product strategy and decisions.

## Requirements

5+ years as data analyst/scientist in a product-focused role; advanced SQL and data visualization; experience building data models in dbt with BigQuery or Snowflake; strong understanding of statistics and experiment design; knowledge of payments/fintech operations (fraud, KYC/AML, payment success rates); comfortable using AI-assisted tools and strong communication skills.

## FAQ

- **Is this Senior/Staff Data Analyst role still open?** It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on MoonPay's application page before applying.
- **Does MoonPay offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on MoonPay's site.
- **Where is this role located?** The listing gives the location as London, GB, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Data Visualization, dbt, BigQuery, Snowflake, Experiment design, A/B testing, Quasi-experimental methods, KYC/AML, Fraud detection, Payments/fintech knowledge, AI-assisted analytics.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.lever.co/moonpay/e42e3201-53dc-40a5-9d36-1fcdcc5c2d99/apply?lever-source=LinkedIn&source=LinkedIn&lever-source=LinkedInJobs&lever-origin=applied&lever-source%255B%255D=LinkedIn&_pc=193155&lever-source=LinkedInJobs). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "seniorstaff-data-analyst-moonpay": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Senior/Staff Data Analyst at MoonPay, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/seniorstaff-data-analyst-moonpay)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md