Data Analyst

RevenueCat

7d • $167,000 - $167,000 • Remote

About The Position

RevenueCat is a rapidly growing company that provides a monetization platform for mobile applications, specializing in in-app subscriptions. They have a significant market presence, processing over $12 billion in annual purchase volume. The company operates as a remote-first organization with over 150 employees across more than 25 countries, emphasizing values such as Customer Obsession, Always Be Shipping, Own It, and Balance. This role is for a Data Analyst who will work closely with various business teams, including Marketing, Sales, Finance, People, Ops, and Product, to provide data-driven insights and support decision-making. A key aspect of this role is developing deep domain knowledge in the subscription space, which is considered more valuable than technical skills alone. The position also involves utilizing and contributing to AI agent tooling for data analysis, aiming to enhance efficiency and trustworthiness. The ideal candidate will be a partner to the business, focusing on understanding their needs and delivering actionable insights.

Requirements

• 3+ years in an analytics role (Data Analyst, BI Analyst, Business Analyst, Analytics Engineer or similar), including real experience as the direct analytics partner to a business team such as Marketing, Sales or Finance.
• Curiosity: You're uncomfortable when you don't understand why a number is what it is, and you dig until you do.
• Curiosity: You ask the question behind the question. When someone asks for a dashboard, you find out what decision it's for.
• Curiosity: You'd rather learn a new domain than a new tool.
• Curiosity: You're comfortable without fully formed requirements, and you create structure where none exists yet.
• Curiosity: You care more about being useful and clear than about polished dashboards.
• Curiosity: You want to be a partner to the business, not a request queue.
• Strong SQL and real comfort working directly in a warehouse. You can get to an answer without hand-holding.
• Experience owning datasets and dashboards that non-technical teams depend on.
• Comfortable working in a repo: git, branches, pull requests, code review. Our analytics lives in version-controlled dbt and LookML repos, not in saved queries.
• You already work with AI agents daily and you're appropriately skeptical of them. You can explain how you verified an answer, not just how you produced one.
• Clear written communication, especially about limits, caveats, and what a number does not say.

Nice To Haves

• Python, dbt, Looker or LookML, Snowflake or ClickHouse
• Subscription or fintech domain experience
• High-volume data

Responsibilities

• Partner regularly with Marketing, Sales, Finance and Product teams. Learn their goals, their metrics, and the decisions they're actually stuck on.
• Own analysis end to end: clarify the real question, build or pick the right dataset, deliver the answer, and make sure a decision follows.
• Go deep on our subscription domain, then write it down. Metric definitions, caveats, always-filters, known gotchas. Domain knowledge that only lives in your head doesn't scale, and scaling it is the point of this role.
• Build analytics assets people trust without asking you first: models in dbt, explores in LookML, dashboards that hold up.
• Use our agent tooling as a force multiplier and contribute back to it. Feed it semantic context, flag wrong answers, harden the definitions it depends on.
• Contribute to the data platform where it unblocks you. Small model and pipeline improvements, debugging discrepancies, helping out when something breaks.
• Translate in both directions: business context into robust analysis, data reality into language a non-technical stakeholder can act on.

Benefits

• Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
• 10-year window to exercise vested equity options
• Fully remote and flexible work environment
• 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
• $2,000 USD for workspace setup
• $1,000 USD annual stipend for continuous learning

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed