Senior Product Data Analyst

About the Company

Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories.

You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.

About the Role

Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our product team. Payments and stablecoin infrastructure generate enormous, rich, and consequential datasets — authorization patterns, ledger movements, partner usage, cardholder behavior — and the decisions we make on top of that data shape the experience for our partners and millions of their end users.

This is a senior individual contributor role embedded directly with product. You'll partner with PMs, engineers, and partnerships leads to turn raw data into the sharpest possible product judgment: defining metrics, designing experiments, sizing opportunities, and pulling on the threads that reveal where the product is working and where it isn't. You'll set the analytical bar for the company and own the questions that matter most.

What You'll Do

• Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions
• Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow
• Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations
• Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface
• Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product
• Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis
• Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view

What We're Looking For

• 5–8 years of analytics experience, with a track record of operating as the analytical partner to product teams shipping consumer or platform products at a product-led company with a strong engineering culture and high bar for quality
• Exceptional analytical rigor and product judgment — you're someone others describe as one of the sharpest analysts they've worked with, and you consistently raise the bar for the people around you
• A senior, autonomous operator who can scope the question, design the analysis, and own the recommendation without needing close direction
• Expert SQL and strong working fluency with at least one analytics scripting language (Python or R), modern data warehouses (Snowflake, BigQuery, Redshift, or similar), and BI/visualization tools (Lightdash preferred)
• Strong technical fluency — you can read product code, understand event schemas, and pull on technical threads yourself rather than defer to engineering
• Genuinely excited to live in the details — you believe correct, trustworthy data is won in the specifics and are energized by the work to get them right
• Excellent written and verbal communication; you can translate a complex analysis into a clear, opinionated recommendation that ships decisions
• Proven ability to design and run experiments, measure adoption, and iterate quickly in a fast-moving environment

Nice to Have, But Not Mandatory

• Experience analyzing payments, card issuing, or cross-border fintech products
• Exposure to stablecoins, crypto, or on-chain data
• Previous startup or hypergrowth environment experience
• Experience standing up an analytics function from early days

Role Details

• Individual contributor role (no direct reports)
• Hybrid schedule based in our New York City office

In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.