Key Responsibilities

Revenue Modelling & Enrollment Analytics

• Build, maintain, and update predictive financial models to forecast tuition revenue.
• Analyse the financial impact of national student funding shifts.
• Collaborate with the Admissions and Institutional Research teams to quantify the financial return on recruitment investments.

Budgeting, Forecasting & Variance Analysis

• Assist in the preparation, consolidation, and review of the University’s annual operating and capital budgets.
• Perform monthly and quarterly financial variance analysis.
• Identify structural revenue risks and cost-saving opportunities across academic and administrative units.

Strategic Financial Aid & Scholarships Calibration

• Conduct affordability risk assessments.
• Develop mathematical models to calibrate internal scholarships and financial aid distribution.
• Assess the affordability thresholds of various student income categories to recommend optimal, sustainable tuition pricing structures for new and existing academic programmes.

Academic Portfolio & Market Costing

• Perform cost-benefit analyses on the University’s academic portfolio to assess financial viability and sustainability.
• Provide data-driven financial recommendations for launching new academic programmes or restructuring existing curricula.

Financial Reporting & Compliance

• Prepare comprehensive financial dashboards, executive summaries, and strategic concept papers.
• Synthesise complex financial datasets into clear, non-technical presentations to guide decision-making.
• Ensure all financial analysis and data collection comply with institutional data governance policies and national data protection regulations.
• Any other duty assigned by the supervisor from time to time.

Qualifications

• Bachelor’s Degree in Commerce, Business, or related area from an accredited/ recognised  University
• Certified Public Accountant of Kenya and a Member of ICPAK in good standing.
• Certified Investment and Financial Analyst (CIFA)
• At least 4 years of experience in financial data analytics.