Senior/Staff Data Analyst at MoonPay

At a glance

Company
MoonPay
Location
London, GB, United Kingdom
Work arrangement
On-site
Employment type
Full-time
Experience
5–10 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this MoonPay job

  • 🏢 This is MoonPay's only job here right now
  • 📊 8 Data Analyst jobs in the United Kingdom in the last 60 days see them
  • 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
  • 💡 No salary shown. Ask MoonPay if it is above the minimum.

Updated 2026-11-01, from our data and official sources.

Apply for this role at 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.

Key skills

  • SQL — in 512 other listings on The Stack
  • Data Visualization — in 110 other listings on The Stack
  • dbt — in 99 other listings on The Stack
  • BigQuery — in 58 other listings on The Stack
  • Snowflake — in 39 other listings on The Stack
  • Experiment design — in 7 other listings on The Stack
  • A/B testing — in 120 other listings on The Stack
  • Quasi-experimental methods — in 1 other listing on The Stack
  • KYC/AML
  • Fraud detection
  • Payments/fintech knowledge
  • AI-assisted analytics

On The Stack (as of 2026-11-01)

Frequently asked questions about MoonPay

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.

All roles at MoonPay

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