Data Analyst

Confidence Bank is looking for  a detail-driven and analytical Data Analyst, who will turn raw financial, credit data into clear insights that guide loan underwriting, risk management, customer segmentation, and executive decision-making. 

You will work closely with credit risk, retail banking, and operations teams to monitor performance metrics and support financial inclusion goals.

Key Responsibilities 

• Data Extraction & Collation: Streamline the systematic collation and consolidation of financial and operational data from core banking systems, , and digital platforms.
• Repayment Monitoring: Monitor loan performance and ensure the generation and timely submission of accurate repayment schedules to field teams and management.
• Database Maintenance: Query and structure transaction databases using Microsoft Excel to maintain clean, reliable financial data.
• Regulatory Data Packaging: Compile, validate, and prepare specialized financial and credit datasets strictly according to the guidelines set by the central bank and relevant regulatory bodies.
• Compliance Submission: Cooperate with the risk and compliance departments to guarantee zero delays in monthly, quarterly, and annual statutory data filings.
• Performance Dashboards: Build and maintain interactive dashboards to track Portfolio-at-Risk (PAR), non-performing loans (NPLs), and deposit mobilization metrics.
• Operational Reporting: Deliver regular performance summaries to team lead

Required Qualifications & Skills

• Minimum of 2 years of data analysis experience in banking, microfinance, or credit institutions.
• HND/B.Sc. in a quantitative field (e.g., Statistics, Accounting, Economics, Computer Science) 
• Technical & Analytical Competencies: Advanced proficiency in SQL, Microsoft Excel, and data visualization platforms like Power BI or Tableau.
• Compliance Awareness: Strong understanding of financial reporting standards and microfinance regulatory frameworks.

Experience compiling statutory returns (e.g., Credit Bureau reporting, Central Bank digital portals), familiarity with automated financial workflows, and a proactive approach to data quality control.