Role purpose: 

• Overall M-Pesa Products Performance evaluation 
• Provide data-driven insights in all products aspects (customers, usage, Uptake, areas of improvement, lifecycle)
• Provide Insights to support management decisions.
• Improve existing and design new reports to meet business and regulatory requirements

Key accountabilities and decision ownership 

• Data Analytics & Insights
  
  • Identify relevant metrics to measure products performance.
  • Prepare and share analytical reports to support products performance evaluation.
  • Analyse, Extract and share meaning from the data.
  • Sharing and presenting facts, trends, findings, and recommendation to facilitate business decision.
• Usage Drive Support
  
  • Provide support to commercial teams in driving products uptake and usage.
  • Liaise with third parties for smooth workflow and timely execution of commercial activities.
• Reporting & Forecasting
  
  • Ensuring accuracy, completeness and timely submission of products reports to relevant parties. 
  • Implement, review, enhance and automate periodic and adhoc reports.
  • Collaborate with technical, operations, and commercial teams for continuous reporting relevance.
• Process & Control
  
  • Document and review reporting and control process.
  • Ensure continuity of the reporting process.     

Core competencies, knowledge and experience 

• Excellent analytical and logical reasoning skills translated from market insights
• Excellent communication skills
• Strong stakeholder management skills
• Ability to analyse, model & interpret data
• Able to challenge the status quo

Must have technical/professional qualifications: 

• Bachelor degree in mathematics or statistics or Information Technology.
• Good knowledge on data science
• Programming languages like SQL, Oracle & Python
• Accuracy & attention to details.
• Ability to plan work and meet deadlines
• Exposure in handling large dataset would be advantageous.
• Interpersonal & team working skills.

Key performance indicators :

• Efficient use of analytical & reporting tools
• Suggestion of solutions and stakeholder’s satisfaction & acceptance
• Requirements management & Prioritization
• Effectiveness and value added