--- title: 'Data Analyst at RevenueCat' canonical: 'https://feeny.ai/job/data-analyst-revenuecat-americas-91kmzax7wg2f' type: 'job' last_seen: '2026-09-04' --- # Data Analyst at RevenueCat - **Company:** RevenueCat - **Location:** Americas - **Compensation:** $167k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-04 - **Last confirmed live:** 2026-09-04 - **Apply:** https://jobs.ashbyhq.com/revenuecat/ea45acc5-ee1f-4f05-b585-9339667d23ff ## Job description 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, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. ## 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. Knowing what a trial start actually counts, why tracked revenue and realized revenue are different, how store refunds land in our data, and which model answers a question correctly the first time. That knowledge is what turns a half-formed Slack question into a number someone can act on within the hour. So 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 build that domain knowledge fast, working day to day with the person who currently owns Analytics here. He'll be your closest partner and the person who helps you grow into the domain. The second thing that makes this role exciting is how we expect you to work. We're building the infrastructure that lets AI agents access our data safely, and agentic tooling that answers questions grounded in our semantic layer rather than guessing. You'll be one of its heaviest users and one of the people who makes it trustworthy: curating the semantic context, catching the answers that look right and aren't, and pushing definitions back into dbt and LookML where they belong. We're not hiring someone to do the same volume of work faster, we're hiring someone who supports multiple teams well using this collection of new tools as a force multiplier. ## WHAT YOU WILL DO - 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. ## ABOUT YOU 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 is the thing we're actually screening for: - You're uncomfortable when you don't understand why a number is what it is, and you dig until you do. - You ask the question behind the question. When someone asks for a dashboard, you find out what decision it's for. - You'd rather learn a new domain than a new tool. - You're comfortable without fully formed requirements, and you create structure where none exists yet. - You care more about being useful and clear than about polished dashboards. - You want to be a partner to the business, not a request queue. From a skills perspective, you bring: - 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 have, and genuinely not required: - Python, dbt, Looker or LookML, Snowflake or ClickHouse - Subscription or fintech domain experience - High-volume data ## WHAT WE OFFER: - 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 - 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 ## INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. ## MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21 ## About RevenueCat ## Company Overview - **One-liner**: A platform that provides cross-platform subscription management, analytics, and growth tools for mobile and web apps. - **Entity Type**: Private (Series C – last round $38M in May 2025) - **Headquarters**: Brandon, Florida, USA (per LinkedIn) / San Francisco, California, USA (per Craft.co) – conflicting reports - **Founded**: 2017 - **Founders**: Jacob Eiting (CEO) and Miguel Carranza (CTO) ## Core Business - **Primary industry**: Software Development / Mobile Subscription Infrastructure - **Target customers**: B2B – app developers, product teams, data teams, and support teams at consumer and enterprise apps - **Mission**: “Build the standard for mobile subscription infrastructure” (from Built In) ## Products & Services - **Subscription Backend-in-a-Box**: Handles receipt validation, purchase setup, and platform updates across StoreKit, Google Play, smart TV, and web. - **Paywall Templates & Editor**: Pre-built, configurable paywall UI with layer-driven editor for A/B testing and audience targeting. - **Analytics & Reporting**: Full-funnel analytics, cohort payback period estimation, and predictive analytics for campaign performance. - **Automated Refund Handling**: Uses usage data and preferences to reduce auto‑approvals and retain revenue (e.g., Dipsea reduced refunds by 36%). - **Web‑to‑App Campaigns**: Bypass fees and attribution restrictions to drive conversions from web to app. - **Self‑Serve Support Tools**: Centralized cross‑platform data for debugging and customer assistance. - **A/B Testing**: Remotely configurable experiments on pricing, packaging, and paywalls. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metrics**: - Annual Revenue: ~$20M (per LinkedIn Financials) - Total Funding: $156.6M across 7 rounds - API requests daily: 3B+ - Revenue processed: $14B+ - Trusted apps: 113K+ - **Notable Investors**: Index Ventures (led Series A), Y Combinator Continuity Fund (led Series B), Y Combinator (seed), plus multiple others. - **Acquisition**: Acquired Dipsea in September 2024. - **Growth Signals**: - Headcount: 133 employees (+43% YoY) - LinkedIn followers: 41,712 (+95% yearly) - Active job postings: 53 (monthly +6%, quarterly +32.5%) - SOC2 certified, GDPR compliant - 4.8/5 Capterra rating, 4.7/5 G2 rating, 4.9/5 product reviews ## Competitive Advantages - **Platform Moat**: Acts as the single source of truth for subscriptions across iOS, Android, and web, reducing engineering overhead for platform updates and edge cases. - **Network Effects**: Thousands of apps use RevenueCat, creating a large data pool for benchmarking and analytics. - **Developer‑First**: Free until $2,500 MRR; easy integration with SDKs; dedicated team handling store API changes. - **Integrated Growth Tools**: A/B testing, automated refunds, and analytics are built into one platform, reducing the need for multiple tools. - **Remote‑First Culture**: Attracts global talent across 25+ countries, with strong retention and high employee satisfaction scores (5.0/5.0 on LinkedIn, 48 reviews). ## Strategic Focus - **Expanding Product Lines**: Recent job postings for “Senior Product Manager, Agents” and “Senior Software Engineer, Agents” indicate new AI‑powered agents or automation features. - **Web Revenue**: Continuing to invest in web‑to‑app campaigns and cross‑web subscription management. - **Data & Analytics**: Deepening predictive analytics and cohort analysis to help customers optimize payback periods. - **Automation**: Scaling automated refund handling and win‑back campaigns to reduce churn. ## Why Work Here - **Remote‑First**: Flexible remote work across 40+ locations; no mandatory office time (HQ in San Francisco/Brandon but team is globally distributed). - **Compensation & Benefits**: - Competitive salaries (e.g., Sr. Backend Engineer ~€196K/yr, TAM ~$103K/yr) - Equity for all employees - Health/dental/vision insurance, 401K, life insurance, disability insurance - Generous parental leave, family medical leave, paid sick days, flexible PTO - **Culture & Growth**: - Average 5.0/5.0 employer rating on LinkedIn; Work‑Life 4.5, Compensation 4.9, Culture 4.9, Career 4.7 - Strong emphasis on senior hires and career development tracks (customized development tracks mentioned) - Flat-ish structure: 31% senior, 19% specialist, 18% manager - Engineering‑heavy: 48% of roles technical - **Tech Stack**: CircleCI, HubSpot, Looker, and modern mobile SDKs (iOS, Android, web). - **Recent Alumni Go To**: Monzo, ŌURA, Fever, Verizon – indicates talent is well‑regarded. ## Sources 1. [revenuecat.com](https://www.revenuecat.com/) 2. [linkedin.com/company/revenuecat](https://www.linkedin.com/company/revenuecat) 3. [builtin.com/company/revenuecat](https://builtin.com/company/revenuecat) 4. [craft.co/revenuecat](https://craft.co/revenuecat) 5. 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