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Overview
MoonPay is seeking a Director of Data & Analytics to lead the Product Data & Analytics team, shaping metrics and data infrastructure to enhance product development. This role offers a competitive salary and equity package.
About MoonPay
MoonPay 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.S. 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.
What you will do
- •Own the direction, roadmap, and operating model for Product Data & Analytics
- •Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)
- •Design the org structure, leveling, and career paths that let each discipline scale as the team grows
- •Standardize how product metrics, experimentation, and analytics get built and consumed across MoonPay, replacing one-off analysis with reusable, trusted data products
- •Partner directly with Product and Engineering leadership to embed analytics and experimentation into the product development lifecycle, from problem definition through post-launch measurement
- •Set technical and quality standards across the team's work: data modeling conventions, experimentation methodology, dashboarding and reporting practices
- •Represent data and analytics needs in cross-functional planning with Product, Engineering, Finance, Operations, and Compliance
- •Mentor team leads and senior ICs, building a bench of future managers within the function
- •Report on team health, hiring progress, and analytics impact to senior leadership
Benefits & 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
About you
- •10+ years of experience in data science, analytics, or analytics engineering, with significant time in a management or leadership role
- •A track record of building and scaling a data/analytics function from the ground up or through a high-growth phase, including hands-on hiring across multiple disciplines
- •Deep experience partnering with Product and Engineering teams to embed analytics and experimentation into how products get built
- •Strong technical fluency across the disciplines you'll manage. You don't need to write production code daily, but you can evaluate tradeoffs in data modeling and experimentation design
- •Excellent stakeholder management skills, with experience communicating clearly to executives, engineers, and cross-functional partners alike
- •Experience working within fintech, payments, or crypto is a strong plus
- •An active interest in cryptocurrency and Web3, and comfort operating in a fast-moving, less-defined environment