Requirements

• Bachelor’s degree in business Analytics, Data Science, Computer Science, Engineering, Economics, Statistics, Mathematics, or a related field.
  
• Certifications in Power BI or other BI tools are an added advantage.
  
• 2–3 years of experience in Business Intelligence, Data Analytics, or a related role.
  
• Experience working in banking, fintech, lending, or regulated data environments is an advantage.
  

Business Intelligence and Reporting

• Design, develop, and maintain interactive dashboards and reports using Power BI to support operational, management, and executive decision-making.
  
• Build efficient and scalable data models, applying best practices such as star schema design and performance optimization.
  
• Develop and maintain DAX measures for KPIs, trends, time intelligence, and performance monitoring.
  
• Ensure dashboards are intuitive, user-friendly, and aligned with business requirements and objectives.
  

Data Extraction, Transformation and Analysis

• Write, optimize, and maintain SQL queries to extract, transform, and analyze data from multiple source systems.
  
• Conduct quantitative analysis, including trend analysis, variance analysis, and time-series analysis.
  
• Support ad-hoc analysis and deep dives to address business questions and management requests.
  

Data Quality, Governance and Compliance

• Ensure the accuracy, consistency, and integrity of reported data across all dashboards and reports.
  
• Validate data to ensure it is auditable and third-party verifiable
  
• Align reporting outputs with internal standards and external reporting or regulatory frameworks.
  
• Maintain clear documentation for datasets, KPIs, and reporting logic.
  

Automation and Continuous Improvement

• Support automated and scheduled reporting workflows to improve efficiency and accessibility of insights.
  
• Identify opportunities to optimize BI processes, dashboards, and SQL queries for performance and scalability.
  
• Contribute to the continuous improvement of analytics standards, tools, and best practices.
  

Collaboration and Stakeholder Engagement

• Work closely with the Lead, Business Analytics to support enterprise BI initiatives and analytics automation.
  
• Collaborate with cross-functional teams (I.T., Operations, Finance, Product, Audit, and Risk) to translate business requirements into analytics solutions.
  
• Communicate insights clearly and effectively to both technical and non-technical stakeholders.