About the Position

Data Analyst

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.

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.

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.
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

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

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

About the Company

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.

Data Analyst

Job description