Description

The Data Analyst will use data-driven approaches to assist in reshaping business operations, enhancing performance, and achieving the organization's transformation goals.

   Duties & Responsibilities

Data Analysis & Reporting
• Collect, clean, and analyze data from various sources, including internal systems, external databases, and business operations, to ensure continuous review and updates of our strategy for competitiveness and relevance.
• Create and maintain reports and dashboards to track key performance indicators (KPIs) related to portfolio performance, credit risk, and delinquency trends.
• Provide regular, detailed analysis of business performance, highlighting areas of success and opportunities for improvement.
• Develop and maintain forecasting models for key credit risk metrics, including PAR and provisioning requirements.
• Apply advanced statistical methods to model portfolio risk and predict future credit losses.

Stakeholder Collaboration
• Present analytical findings to key stakeholders, including senior management, in a clear and actionable manner.
• Assist business units in defining data requirements and ensuring data accuracy for transformation initiatives.
• Work with the Risk & Compliance team to align data-driven strategies with organizational goals.

Data Visualization & Presentation
• Develop and present data visualizations (charts, graphs, dashboards) that simplify complex data and facilitate decision-making.
• Ensure that key credit risk and business transformation metrics are easily accessible for stakeholders to track progress and outcomes.

Continuous Monitoring & Optimization
• Monitor the performance of ongoing credit risk management initiatives and provide regular updates on progress.
• Ensure that data used for portfolio risk assessment is continuously updated, accurate, and reliable.
• Track portfolio quality indicators on a monthly, quarterly, and annual basis to assess changes in risk exposure.

Data Governance & Quality
• Ensure that data used for credit risk assessment is accurate, complete, and compliant with organizational data governance policies.
• Recommend improvements to data collection methods to ensure the data supports accurate decision-making.

   Skills & Experience

• Bachelor’s degree in Statistics, Economics, Finance, Mathematics, Data Science, or a related field.
• 3 to 5 years of work experience as a Data Analyst.
• Certification in business intelligence tools (e.g., SQL, Tableau, Power BI, Python, Excel).
• Experience in a microfinance or retail banking credit risk department is an advantage.
• Problem Solving and Analytical Skills; Familiarity with business transformation methodologies, Lean, Six Sigma, or
Agile is an advantage with the ability to interpret complex data and present it clearly.
• Attention to Detail; Precision in handling data and performing complex analysis to ensure high- quality outcomes.
• Interpersonal Skills; Collaborative and able to work effectively with cross-functional teams.
• Project Management Skills; Efficient organization and time-management skills.
• Strategic Thinking: Ability to understand the broader goals of business transformation and align data analysis to
drive success.