Raphael Owhere

Data Analyst @10alytics

London, GB

I optimised the shopping app by analysing the data using Excel, identifying key pain points, and implementing targeted improvements. I created a KPI dashboard that tracked key metrics, resulting in a 25% reduction in the number of users leaving the app without completing a purchase and a 15% increase in completed purchases.• Using Power BI, I created an interactive dashboard that streamlined sales strategies, optimised production planning, and identified untapped market opportunities, resulting in a 5% increase in profitability and a 10% improvement in production efficiency.• Developed automated SQL and Power BI solutions for weekly and monthly analytics, boosting reporting productivity by 50%. Enabled real-time access to key business intelligence, enhancing decision-making across teams.• Led a data quality improvement initiative, cleaning and standardising over customer records. Increased data accuracy from 78% to 93%, significantly improving the reliability of reports used for executive decisions.• Built predictive models to identify customer churn patterns, delivering insights that informed retention strategies. Resulted in a 17% reduction in customer attrition and a 40% decrease in reporting turnaround time, directly supporting revenue retention.