Role purpose: 

Overall M-Pesa Performance evaluation, Detailed Products and market analysis, Data extraction, quality check, screening & analysis for business consumption, improve existing and design new reports to meet business and regulatory requirements. Support regional teams with data and insights

Key accountabilities and decision ownership 

• Regional Support
  
  • Ensure regional visibility and support with data to stakeholders
  • Preparation of regional budget and other KPIs 
  • Conducting market intelligence 
  • Support strategic planning and any marketing initiatives.
• Internal and external reporting
  
  • Defining business requirements, preparation and sharing of the reports daily, weekly, monthly and whenever required.
  • Developing new models to support business decision
  • Improve internal and external reporting processes
  • Understanding and complying to regulatory reporting requirements
• Data Analytics
  
  • Data extraction, reporting and complex data analysis
  • Monitor trends in market and customer data
  • Understanding customer behaviour and providing insights 
  • Understanding and tracking of key performance indicators
  • Preparation of presentation and presenting to decision-makers 
  • Develop dashboards for analyses and reporting
• Pricing
  
  • Continuously tracking products pricing and their relevancy to the cost, market and customer needs.

Core competencies, knowledge, and experience 

• Excellent analytical and logical reasoning skills translated from market insights
• Excellent communication skills
• Strong stakeholder management skills
• Ability to anticipate customer, competitor and market dynamics 
• Able to challenge the status quo

Must have technical/professional qualifications: 

• Bachelor's degree in Mathematics or Statistics or Information Technology.
• Good knowledge on Data science, advanced Excel skills and knowledge in BI tools
• Programming languages like SQL, Oracle & Python
• Strong analytical skills and business acumen.
• Strong communication skills
• Experience in handling large dataset would be advantageous.