About this role
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
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Data Extraction & Collation: Streamline the systematic collation and consolidation of financial and operational data from core banking systems, , and digital platforms.
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Repayment Monitoring: Monitor loan performance and ensure the generation and timely submission of accurate repayment schedules to field teams and management.
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Database Maintenance: Query and structure transaction databases using Microsoft Excel to maintain clean, reliable financial data.
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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.
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Compliance Submission: Cooperate with the risk and compliance departments to guarantee zero delays in monthly, quarterly, and annual statutory data filings.
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Performance Dashboards: Build and maintain interactive dashboards to track Portfolio-at-Risk (PAR), non-performing loans (NPLs), and deposit mobilization metrics.
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Operational Reporting: Deliver regular performance summaries to team lead
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Required Qualifications & Skills
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Minimum of 2 years of data analysis experience in banking, microfinance, or credit institutions.
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HND/B.Sc. in a quantitative field (e.g., Statistics, Accounting, Economics, Computer Science)
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Technical & Analytical Competencies: Advanced proficiency in SQL, Microsoft Excel, and data visualization platforms like Power BI or Tableau.
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Compliance Awareness: Strong understanding of financial reporting standards and microfinance regulatory frameworks.
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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.
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