Data Analyst

• Must be able to proactively identify opportunities where data analysis can influence strategy and operational decisions across the business.

• Should be able to extract, clean, and analyze internal and external datasets using SQL, R, Python, and Excel to uncover actionable insights.

• Must be able to design clear and impactful presentations, translating complex findings into practical business recommendations.

• Must be able to analyze repayments data and other sources to continuously improve loan eligibility criteria while effectively managing credit risk.

• Should be able to refine loan pricing strategies based on credit analysis and observed customer behavior.

• Should be able test new loan products to assess customer demand and credit performance.

• Must monitor credit performance to detect shifts in risk and quantify margin impact.

• Should be able to evaluate the predictive power of new datasets to enhance eligibility and risk assessment frameworks.

• Must Collaborate with data scientists to integrate machine learning models into loan eligibility decisions.

BusinessGhana