MI and Reporting Analyst

Key Responsibilities

• Develop, maintain, and automate daily, weekly, monthly, and ad hoc MI and credit risk reports.
• Monitor and report on key risk indicators (KRIs) and other credit risk performance metrics.
• Perform data extraction, analysis, validation, and reconciliation to support business and risk decision-making.
• Prepare, optimise, and automate governance, assurance, and committee reporting.
• Create and maintain reusable data assets to support reporting, analytics, and predictive modelling initiatives.
• Collaborate with Credit Risk, Analytics, Data Warehouse, Technology, and Operations teams to deliver reporting and data solutions.
• Develop, maintain, and enhance Power BI dashboards and data visualisations.
• Ensure data accuracy, integrity, and consistency across reporting platforms.
• Identify opportunities to improve reporting efficiencies through automation and process optimisation.
• Support data warehousing initiatives and contribute to the enhancement of data structures and reporting frameworks.
• Translate complex data into meaningful insights and recommendations for business stakeholders.
• Maintain documentation of reports, data assets, processes, and business rules using tools such as Confluence.
• Support ongoing monitoring, measurement, and performance tracking across the credit lifecycle.
• Contribute to continuous improvement initiatives aimed at enhancing reporting capabilities and business outcomes.

Experience and Skills Required

Education:

• BSc/BCom Degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering, Information Systems, Data Science, or a related quantitative field.

Experience:

• Minimum 3-5 years' experience within a Data Warehouse, Management Information (MI), Business Intelligence, Data Analytics, or Credit Risk environment.
• Experience within Banking, Financial Services, Credit Risk, Lending, or Collections environments preferred.
• Proven experience developing, maintaining, and automating management information reporting.
• Experience working with large and complex datasets.
• Strong exposure to data warehousing and data asset management.
• Experience creating dashboards and visualisations for business stakeholders.
• Exposure to governance reporting and risk reporting environments.
• Experience collaborating with cross-functional teams including Risk, Analytics, Data, Technology, and Operations.

Skills:

• Advanced SQL programming skills (MS SQL Server, SAP HANA, or similar platforms).
• Experience using SAS and/or Python for data analysis and reporting.
• Strong Power BI dashboard development and visualisation skills.
• Solid understanding of data warehousing concepts, database structures, and ETL processes.
• Knowledge of SDLC, unit testing, and technical change control principles.
• Strong analytical, quantitative, and problem-solving capabilities.
• Ability to analyse large datasets and identify trends, risks, and opportunities.
• Excellent verbal and written communication skills.
• Ability to present complex information in a concise and meaningful manner.
• Experience documenting reports, processes, and data assets using tools such as Confluence.

Key Competencies

• Strong attention to detail and accuracy.
• Highly analytical with a passion for working with data.
• Self-motivated and results-driven.
• Excellent organisational and time-management skills.
• Strong stakeholder engagement and relationship-building abilities.
• Ability to work effectively within cross-functional teams.
• Resourceful, proactive, and solutions-oriented.
• Continuous improvement mindset with a passion for automation and efficiency.