Requirements

• A Bachelor’s Degree in Statistics, Mathematics or Economics
  

• A Postgraduate qualitification in analytics or project management is an added advantage
  

• Proficient with MS Office application especially Excel and Power Point
  

• Proficiency in data modeling, analytics and visualisation tools e.g SQL, Python, R, Microsoft Power BI, Tableu e.t.c
  

Work Experience

• 5 years’ experience in a relevant field.
  

• Experience in business analysis, pricing, financial modelling and product evaluation
  

• Experience in Business Intelligence for telecommunications is desirable
  

• Experience in hands-on financial modelling
  

• Experience in advanced analytics tools and techniques
  

• Analyze market trends, customer behavior, services portfolio, and pricing models to identify revenue opportunities.
  

• Collaborate with sales and network operations teams to align revenue goals with infrastructure capacity, service quality, and customer expectations.
  

• Monitor and adjust revenue forecasts based on technological advancements (e.g., 5G adoption), regulatory changes (e.g., spectrum allocation), and competitive pressures in the telecom market.
  

• Evaluate portfolio performance using metrics like average revenue per user (ARPU), customer retention rates, return on investment (ROI), or network utilization.
  

• Leverage analytics and market intelligence to monitor portfolio performance and adapt to shifts in demand, such as increased need for low-latency networks or high-speed connectivity solutions.
  

• Ensure revenue planning and portfolio decisions support the company’s mission, whether it’s expanding network coverage, enhancing service quality, or pioneering next-generation telecom technologies.
  

• Analyze financial and operational data to uncover trends, risks, and opportunities. Assess the impact of pricing, promotions, and market dynamics, providing data-driven insights to support forecasting, budgeting, and strategy.
  

• Work cross-functionally with Finance, Marketing, Sales, and FinTech teams to align strategies. Present insights and recommendations to senior stakeholders for informed decision-making.
  

• Drive quality insights and next level analysis to enhance decision-making.
  

• Lead and mentor a team of data analysts, setting clear goals and fostering a high-performance, data-driven culture through coaching and feedback.