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# Data Analyst

- **Company:** RevenueCat, Inc.
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Salary:** $90,000.0 - $120,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Infrastructure, Data Integrity, Software Debugging, Python (Programming Language), Ruby, Standard Sql, SQL Databases, Large Language Models, Information Technology, Data Pipelines
- **Published:** August 3, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/data-analyst/10521222

## About the Role

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, and genuinely not required:

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

## Description

Be an Early Applicant
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.
The summary above was generated by AI

RevenueCat removes the headaches of building and scaling in-app subscriptions. Since graduating from YC's S18 batch we've grown into the default monetization platform for mobile: we're in >40% of newly shipped subscription apps, we process $12B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue.

We're a remote-first crew of 150+, spread across 25+ countries, and guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end-users (and help the developers behind them get paid), you'll fit right in.
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., Lead the billing analytics function: build and maintain billing data pipelines and dashboards, analyze payments/renewals/refunds/disputes, run experiments and forecasting, reduce churn and disputes, and manage/mentor a team of analysts while partnering with Billing, Support, Finance, Product, and Marketing., Maintain and validate global customer master data across systems (Salesforce, Jira), perform deduplication and hierarchy management, conduct compliance checks (embargo/VAT screening), monitor CMD dashboards, support cross-functional teams to resolve data anomalies, and drive data integrity projects and process improvements.


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