ADENIKE MAJEKODUNMI

I’m a Data Analyst with 3+ years of experience maintaining dashboards, writing SQL queries, and surfacing actionable insights from large datasets. Detail-driven and proactive, I monitor KPIs, investigate data anomalies, and communicate findings clearly to cross-functional stakeholders. I’m passionate about data-driven product decisions and motivated to apply my analytics skills in a fast-paced, player-focused environment.

In my current role, I maintain Tableau dashboards tracking 15+ product KPIs for 150+ users by performing regular validation and quality checks. I write and maintain SQL queries for weekly reporting and ad hoc analysis, while monitoring daily engagement metrics like DAU, retention, and session activity to flag anomalies and escalate with clear context. I analyzed 50K+ user activity records to uncover retention and churn funnel patterns, helping reduce churn by 12%, and I built automated ETL pipelines processing 10K+ daily data points, cutting manual data collection by 75% and improving reliability for downstream reporting.

Previously, I delivered SQL-based reporting and operational insights across 10,000+ POS terminals, improving decision-making by reducing downtime by 30% and strengthening asset tracking accuracy from 70% to 96% through structured data validation. I also built and maintained dashboards for 100K+ monthly transactions across digital channels, reducing leadership reporting time from 2 days to 2 hours and improving conversion rates by 12% through cohort and funnel analysis. From A/B testing support to end-to-end modeling projects, I focus on turning complex data into clear narratives and practical recommendations.