Data Analyst

Define and maintain KPIs across all active products — covering sales performance, payment conversion, user engagement, and platform usageOwn dashboards for internal teams, management, and external stakeholders at appropriate access levelsProduce regular reporting cycles and proactively flag deviations from expected performanceAnalyze user behavior across the full funnel: activation, retention, engagement, and drop-offAnalyze payment and conversion flows, including non-standard attribution logic when platform flows require custom measurement approachesConduct cohort analysis and performance progression tracking across time periods and user segmentsIdentify patterns in operational and support data that point to systemic product or process problemsMaintain clean, consistent data across all products and data sourcesBuild and document data definitions and calculation logic so outputs are reproducible and trustworthy by anyone on the teamValidate incoming data from partners and institutions before it enters any reporting systemIdentify and resolve data integrity issues before they reach any stakeholderAnswer structured analytical questions from product operations, business development, and management — explaining the logic, not just the outputBuild focused analyses when a decision needs evidence quicklyParticipate in pre-implementation scoping — define what data needs to be collected or agreed with a partner before work begins

2–4 years Experience in a data analyst role, preferably in a product-led or tech-enabled company.Power BI : Proficient — data modeling, DAX, publishing and maintaining dashboardsExcel : Advanced — pivot tables, lookup logic, complex formulasSQL : Working knowledge — can query databases to pull and validate data independentlyPython : A plus — especially for data cleaning or processing large datasetsAnalytical Instinct : Catches measurement problems before they become decision problemsLanguages Arabic and English fluency — outputs are produced in both