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.
Responsibilities
- 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
- Experience with Python for data analysis (e.g. pandas, notebooks) and/or AI-based tools for analytics (e.g. AI copilots, LLM-powered analysis) - Advantage