Data Analyst

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