[All remote jobs](https://jobicy.com/jobs.md)[![RevenueCat logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/09/e9b2999e3e7950f153097909d027dda2.jpg)](https://jobicy.com/company/revenuecat.md)[RevenueCat](https://jobicy.com/company/revenuecat.md) # Data Analyst Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/revenuecat.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md), [EMEA](https://jobicy.com/job-region/emea.md)+1 more, [LATAM](https://jobicy.com/job-region/latam.md)SalaryUSD 167k–167k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished13 Oct 2026Apply before12 Nov 2026Listing views73Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. RevenueCat is seeking a Data Analyst to partner directly with Marketing, Sales, Finance, Product, and other business teams in a remote-first subscription-platform company. The role owns analysis end to end, from clarifying ambiguous stakeholder questions through delivering trusted datasets, dbt models, LookML explores, and decision-ready dashboards. It requires strong SQL, warehouse fluency, version-controlled analytics practices, and the ability to document nuanced subscription metrics and data caveats. The analyst will also use and improve AI-agent analytics tooling by supplying semantic context, validating outputs, and embedding durable definitions in the data model. Success depends on business curiosity, sound judgment, and clear communication with both technical and non-technical partners. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a high-ownership analytics partner role in a complex subscription-revenue domain, where incorrect metric definitions can lead to poor business decisions. The analyst must independently structure unclear requests, validate AI-assisted analysis, and deliver trusted assets across several functions. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$167,000US market range (per year)$140k–$185k0$203.50k AI insightThe employer discloses annual compensation of USD 167,000. For an experienced Data Analyst working with business intelligence, semantic modeling, and cross-functional stakeholders in the US market, an estimated annual market range is USD 140,000 to USD 185,000; this is an AI estimate rather than verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Business Intelligence](https://jobicy.com/jobs?search_keywords=Business%20Intelligence.md)[Data Analysis](https://jobicy.com/jobs?search_keywords=Data%20Analysis.md)[Dashboard Development](https://jobicy.com/jobs?search_keywords=Dashboard%20Development.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[LookML](https://jobicy.com/jobs?search_keywords=LookML.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md)[Data Warehousing](https://jobicy.com/jobs?search_keywords=Data%20Warehousing.md)[Git](https://jobicy.com/jobs?search_keywords=Git.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[Subscription Analytics](https://jobicy.com/jobs?search_keywords=Subscription%20Analytics.md)[Financial Analytics](https://jobicy.com/jobs?search_keywords=Financial%20Analytics.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md)[AI Agent Validation](https://jobicy.com/jobs?search_keywords=AI%20Agent%20Validation.md)[Data Documentation](https://jobicy.com/jobs?search_keywords=Data%20Documentation.md) Sample interview questionsHow would you handle a request from a sales leader asking for a dashboard without clearly explaining the intended decision?I would start by asking what decision the leader is trying to make, who will use the dashboard, and what action could change based on the result. I would then define the relevant metrics, grain, time window, filters, and caveats before building the smallest useful analysis or dashboard. How do you validate a metric when the reported value differs from another team’s number? I compare the metric definitions, source tables, event timing, attribution logic, filters, and aggregation grain. I trace representative records through the pipeline, reconcile the differences, and document the approved definition and any expected reasons the metrics differ. Describe how you would make an AI-generated analytics answer trustworthy. I would verify the generated SQL and assumptions against the semantic model, inspect the source data and applied filters, and compare results with known benchmarks or independent queries. If the answer is incorrect or ambiguous, I would identify the missing context and improve the documented metric definition or semantic layer rather than relying on a one-off correction. What practices would you use to maintain analytics assets in dbt and LookML repositories? I would work through branches and pull requests, keep transformations and metric logic modular, add tests where appropriate, and request review for changes affecting shared definitions. I would also document model purpose, business logic, assumptions, and downstream impacts so stakeholders can rely on stable assets. How would you explain an important limitation in an analysis to a non-technical stakeholder? I would state the conclusion first, then explain the limitation in plain language and describe how it may affect the decision. For example, I would clarify whether refunds, delayed events, incomplete attribution, or a changing cohort definition could cause the reported number to differ from realized business performance. Opportunity details ## About this role. 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) Show more [Apply now >](https://jobicy.com/jobs/155241-data-analyst-4.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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