Business Intelligence Executive at Minet Kenya

Purpose for the Job

The role provides crucial support to the Business Intelligence and Analytics function by overseeing extraction and preparation of the business’ financial data to ensure accurate reporting as well as interrogating any disparity between the same and Divisional disclosures.

Duties and Responsiblities

Business Intelligence and Reporting

• Extraction, preparation, and analysis of monthly revenue reports from Finance.
• Coordination of monthly divisional revenue disclosures.
• Monthly preparation and dissemination of Revenue Walk, New and Lost Account Analyses to Finance, Executive Committee, and Management Committee.
• Assist in quarterly preparation of Minet Market Share reports based on IRA Quarterly Industry Releases and annual computation of Minet Market Share from IRA and AKI annual reports.
• Provide ad-hoc business analytics support when requested.

Product Development

• Assist in Business Case compilation for new products/partnerships.

Strategic Support

• Assist in quarterly preparation and compilation of Board Reports.
• Assist in compilation and review of Strategic Reports.

Market Intelligence

• Assist in preparation of competitor analysis reports.
• Assist in compilation and impact assessment of external market changes such as legislation and regulation.

Survey

• Assist in design, dissemination, and analysis of both internal and external surveys and questionnaires.

Thought Leadership

• Assist in authoring relevant articles for dissemination across both Minet Group and local media.

Key Result Areas

• Accurate reporting of business performance
• Dissemination of in-depth research and analytics reports

Key Competencies

• Problem Solving
• Analytical thinking
• Teamwork and collaboration
• Flexibility and adaptability
• Report writing and communication

Knowledge And Skills Required

Professional and Academic Qualifications

• Bachelor’s degree in Actuarial Science, Finance, Statistics, Financial Engineering, or any other relevant course.
• Certified Public Accountants (CPA Part 2) or Association of Chartered Certified Accountants (Level 2)
• Knowledge of BI tools such as Power BI
• Strong MS Office skills, especially in Excel and PowerPoint.