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Appcharge is a leading direct-to-consumer platform for app publishers.
We help publishers sell digital goods directly to their users – bypassing traditional app store commissions and owning the full payment and commerce experience.
The result: higher margins, better flexibility, and a more direct relationship with end users.
Backed by $89M from leading investors and operators, we’ve grown 14x in the past year and now process over a billion dollars annually.
We’re building the infrastructure that lets modern app businesses take back control of monetization – at scale.
What you'll do
Own and define key product, business, and customer KPIs across the company
Analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points
Build and maintain dashboards and reports that give teams clear, reliable visibility into performance
Partner with Product and Business to evaluate new features, initiatives, and experiments, and measure their impact
Drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data-informed decision-making.
Work closely with engineering and data stakeholders to improve data quality, structure, and accessibility
Help foster a data-driven culture by making insights understandable and actionable for non-technical stakeholders
Requirements
4+ years of experience as a Data Analyst / Business Analyst - Must
Strong hands-on experience with SQL - Must
Experience working with BI / visualization tools (e.g. Looker, Tableau, Power BI, Metabase, or similar)
Proven track record of translating data into clear business insights and recommendations
Experience in gaming or B2C user-centric products -Must– strong focus on user behavior analysis, conversion funnels, and feature performance.
Strong analytical skills, including working with large datasets and complex models
Excellent communication skills, with the ability to simplify complex findings for different audiences
Self-driven, curious, and comfortable working in a dynamic, high-growth startup
Nice to have
Experience with Python for data analysis (e.g. pandas, notebooks) and/or AI-based tools for analytics (e.g. AI copilots, LLM-powered analysis)