At Rain, we’re rebuilding the global financial pipes money flows through. Our infrastructure makes stablecoins usable in the real world by powering credit card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. If you’re curious, bold, and excited to help shape a borderless financial system, we’d love to talk.
Our Ethos
Operating at the epicenter of stablecoin innovation means moving fast and thinking globally. Our team reflects the diverse, international audiences we serve. We hire people who stay agile as the tide ebbs and flows, fix what’s broken without waiting, chase trends before they peak, and remember to have fun through it all.
About the RoleWe’re looking for our first dedicated Analytics Engineer – a technical builder who can consolidate fragmented data sources, model them cleanly, and turn raw information into trusted, reusable datasets and metrics that power decisions across the company. As Rain scales from hundreds to thousands of customers, we need someone who can make our data accessible, reliable, and self-serve for Product, BD, Customer Success, Compliance, and the Executive teams.
Reporting to the Head of Operations, this role sits at the intersection of data engineering and analytics. You’ll own Rain’s core data models and analytics layer, partnering with teams across the company to answer critical questions: How are customers using our infrastructure? Which products, regions, or use cases are driving growth? What behaviors predict retention and revenue expansion? You’ll design the models, metrics, and dashboards that help us understand our business, prove value to customers, and make faster, smarter decisions.
What You'll DoPartner with stakeholders across to understand their data needs and translate them into clear modeling and reporting requirements.
Design, build, and maintain core data models (e.g., customer, account, transaction, product usage) using tools like dbt to transform raw logs into canonical, analytics-ready datasets.
Define and maintain company-wide metrics for business health, customer engagement, product usage, transaction volumes, payment success rates, and other mission-critical KPIs.
Build and evolve ELT/ETL pipelines and orchestration to ensure timely, accurate delivery of data into Rain’s warehouse.
Develop dashboards and self-serve analytics layers that make it simple for non-technical teams to explore data, track performance, and answer their own questions.
Analyze cross-customer and cross-product trends to surface insights that inform product roadmap, go-to-market strategy, and operational improvements.
Establish and enforce data quality standards, testing, documentation, and governance so teams can trust the numbers as we scale.
Continuously improve Rain’s analytics stack evaluating new tools, refining models, and raising the bar on performance, reliability, and usability.
Builder's mentality – Energized by being an early analytics hire at a fast-growing fintech; comfortable owning the full lifecycle from ingestion and modeling to metrics and dashboards.
Modeling & SQL expert – Strong analytics skills with deep proficiency in SQL and experience building dimensional / semantic models that are easy for others to use.
Modern data stack fluent – Hands-on experience with analytics tooling (e.g., dbt, modern ELT tools, Airflow orchestration frameworks) and cloud data warehouses (Snowflake, BigQuery, or Redshift).
Business-minded – You don’t just ship tables and charts—you partner with teams to clarify the questions that matter, design the right metrics, and translate data into strategic recommendations.
Clear communicator – Able to distill complex data concepts into simple, compelling stories and artifacts for executives, GTM leaders, and customers.
Customer-focused – Motivated by helping Rain prove and quantify value to enterprise clients and giving customer-facing teams the data they need to win.
Experienced – 5–7+ years in analytics engineering, data analytics, or data engineering roles, ideally at early-stage or high-growth B2B SaaS, fintech, or payments companies.
Experience as a founding or early analytics engineer, building an analytics foundation and self-serve culture from 0→1.
Previous experience at a crypto, Web3, or blockchain company
Background working with payments data, card programs, transaction processing, or other financial services infrastructure.
Experience in regulated industries (fintech, regtech, compliance) with familiarity around security, data governance, and audit requirements.
Our team works hard, so we make sure our benefits do too. Here’s what you can expect as a Rainmaker:
Top-tier coverage: We cover 95% of Medical, Dental, and Vision premiums.
401(k) with matching: Invest in your future, just like we’re investing in ours.
Ownership that matters: Every team member gets equity because we believe in building together.
Work your way: Flexible hybrid setup with a prime SoHo office for NYC-based teammates.
Unlimited PTO: Because time to rest and reset is just as important as time to ship.
Product-first perks: Monthly budget to test our cards and features like a real user.
Wellness support: Monthly stipend to spend on fitness, therapy, or whatever keeps you thriving.
Home office setup: One-time stipend to create a space that works for you.
Team connection: Frequent company events, team dinners, and offsites to stay connected.
Top Skills
What We Do
Rain offers best in class payments card infrastructure focused on global use cases. Providing support for custodial and non-custodial solutions, integrated KYC, network processing, along with our proprietary stablecoin settlement infrastructure. What will you build?
