Data Analyst - RevenueCat

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.

We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries.

The Role

We're hiring a Data Analyst to work as close as possible to the teams that run RevenueCat's business, including Marketing, Sales, Finance, People, Ops, Product, etc.

The most valuable thing on our Analytics team today isn't SQL, it's domain knowledge. You'll spend most of your time with business teams: understanding what they're trying to decide, turning vague questions into analysis, and shipping the datasets and dashboards they rely on.

You'll also be one of the heaviest users of our new agentic tooling, helping make it trustworthy by curating semantic context, catching incorrect answers, and pushing definitions back into dbt and LookML.

What You Will Do

• Partner regularly with Marketing, Sales, Finance and Product teams to understand goals, metrics, and key decisions.
• Own analysis end to end: clarify the real question, build or pick the right dataset, deliver the answer, and ensure decisions follow.
• Document subscription domain knowledge including metric definitions, caveats, always-filters, and known gotchas.
• Build trusted analytics assets: models in dbt, explores in LookML, and reliable dashboards.
• Use agent tooling as a force multiplier, feeding it semantic context and hardening dependencies.
• Contribute to the data platform by making small model and pipeline improvements and debugging discrepancies.
• Translate business context into robust analysis and data reality into actionable language for non-technical stakeholders.

About You

• 3+ years in an analytics role (Data Analyst, BI Analyst, Business Analyst, Analytics Engineer or similar), including real experience as a direct analytics partner to business teams.
• High curiosity: you dig until you understand why a number is what it is and ask the question behind the question.
• Strong SQL skills and real comfort working directly in a warehouse.
• Experience owning datasets and dashboards that non-technical teams depend on.
• Comfortable working in a repo: git, branches, pull requests, and code review.
• Experience working with AI agents daily with appropriate skepticism and verification.
• Clear written communication, especially regarding limits, caveats, and what numbers do not say.

What We Offer

• Competitive equity in a fast-growing, Series C startup backed by top-tier investors
• 10-year window to exercise vested equity options
• A fully remote environment designed around autonomy and flexibility
• 4-5 weeks of flexible time off annually
• Paid desk at a co-working space
• Workspace budget and continuous learning stipend