Data Analyst

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RevenueCat

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $40M Series B on 2021-05

Consulting • Marketing • SaaS

RevenueCat is a platform that helps developers build and grow their subscription-based apps by simplifying in-app purchase management across iOS, Android, and the web. Trusted by over 32,000 apps, RevenueCat offers a suite of tools for subscription data management, customer support, marketing, and engineering teams. The platform enables businesses to implement in-app purchases faster, automate receipt validation, and provide a central source of truth for subscription data. RevenueCat also supports A/B testing and provides actionable insights through a unified view of cross-platform usage, helping apps to drive growth and optimize revenue strategies. With its comprehensive API, RevenueCat facilitates the integration of subscriptions with existing marketing and analytics tools, allowing developers to focus on building impactful app features.

📋 Description

• Partner regularly with Marketing, Sales, Finance and Product teams to learn their goals, metrics, and decisions • Own analysis end to end: clarify the question, build or select the right dataset, deliver the answer, and ensure a decision follows • Develop deep subscription-domain knowledge and document metric definitions, caveats, filters, and known issues • Build trusted analytics assets, including dbt models, LookML explores, and dashboards • Use and improve AI agent tooling by supplying semantic context, identifying incorrect answers, and hardening definitions • Contribute small model and pipeline improvements, debug discrepancies, and help resolve data platform issues • Translate business context into robust analysis and data reality into actionable language for non-technical stakeholders

🎯 Requirements

• 3+ years of experience in an analytics role such as Data Analyst, BI Analyst, Business Analyst, Analytics Engineer or similar • Direct experience partnering with a business team such as Marketing, Sales or Finance • Strong SQL and comfort working directly in a data warehouse • Ability to independently reach answers without hand-holding • Experience owning datasets and dashboards relied upon by non-technical teams • Experience working in Git-based repositories with branches, pull requests, and code review • Experience with version-controlled dbt and LookML repositories or similar analytics code workflows • Daily experience with AI agents and appropriate skepticism of their outputs • Ability to explain how an answer was verified • Clear written communication about limits, caveats, and what a number does not say

🏖️ Benefits

• 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 • Fully remote and flexible work environment • 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge • $2,000 USD for workspace setup • $1,000 USD annual stipend for continuous learning