TOMILOLA OMΟΤΙΒΑ

Collected, cleaned, and analysed large datasets from multiple sources, including CRM and customer transaction data, to identify trends and inform business decisions.

Applied statistical techniques and predictive modelling to forecast customer repayment behavior, reducing default rates by 15%.

Developed interactive dashboards and reports in Tableau and Power BI, improving report accuracy by 23% and operational efficiency.

Collaborated with marketing, product, and business development teams to provide data-driven insights, leading to a 22% increase in customer engagement and a 28% rise in conversions.

Designed and implemented data collection and validation processes, enhancing reporting accuracy by 19%.

Conducted ad-hoc data analyses using SQL and Python to uncover insights that optimized business operations and reduced costs by 10%.

Leveraged analytical skills to explore and interpret customer data, achieving a 40% increase in sales targets and a 45% reduction in loan rejection rates.

Established data analysis systems to improve customer service quality, achieving a 90% complaint resolution rate.

Monitored performance metrics (AHT, adherence, service levels) and provided coaching to improve team performance.

Collaborated with the tech team to implement a desktop solution, improving customer experience and driving cross-selling opportunities.

Worked with cross-functional teams to resolve customer issues using data-driven insights, improving customer satisfaction.

Analysed customer transaction data to identify trends and improve engagement strategies, leading to a 36% boost in customer retention.

Created reports and dashboards to monitor performance metrics and enhance service delivery.

Conducted quarterly data analysis to improve customer service quality, leading to a 90% return business rate.