Innocent OWOBU

Led stakeholder sessions to align business goals with data-driven outcomes. Analyzed large datasets using Tableau, Power BI, Excel, Looker Studio, SQL, and Python to generate actionable insights that address real business challenges. Designed and automated interactive dashboards and reporting workflows for real-time insights. Defined KPIs, analyzed products and customer metrics, and delivered recommendations. Ensured data quality, consistency, and structured reporting for reliable decision-making.

In this role, I analyzed product performance metrics, customer engagement data and operational KPIs to uncover patterns, identify underperforming platforms and segments, and surface growth opportunities. These insights informed data-driven product decisions that improved product optimization, user experience, increased platform adoption, and supported measurable business outcomes.

I combined customer support expertise with data analytics to elevate service delivery and client satisfaction. Using Tableau to monitor key support metrics and feedback, I identified process bottlenecks and introduced strategic improvements that enhanced team efficiency and service quality. By proactively resolving issues and streamlining operations, I helped transform the customer experience into a more responsive, insights-driven function that supported overall business goals.