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.