Senior Analyst - Planning and Analytics.Business Intelligence Competency Centre

Posted 4 Days Ago
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Central, Kisoro Municipality, Kisoro, UGA
In-Office
Senior level
Big Data • Other • Financial Services
The Role
Performs customer and commercial analytics, builds dashboards and visualizations, develops machine learning models for forecasting and churn prediction, monitors telecom performance, analyzes mobile money trends, and provides insights for strategy, budgeting, forecasting, pricing, promotions, and business cases. The role partners with commercial teams and influences senior stakeholders through accurate, actionable data storytelling.
Summary Generated by Built In

Main Purpose:

The Business Intelligence Analyst will primarily be responsible for leveraging expertise in analytics, modeling, and AI, alongside a strong understanding of the business, to identify and implement opportunities that enhance operations and improve the customer journey. Additionally, the role involves monitoring company performance and the broader business environment, translating data related to customers, channels, competitors, and macroeconomic trends into accurate, actionable strategic insights.

MTN Uganda Limited is an equal opportunity employer and is seeking to recruit a competent individual to fill the following position.

Job Title: Senior Analyst – Planning & Analytics 

Reports to: Manager – Planning & Analytics

No. of Vacancies: 1

Main Job Functions:

  1. Customer Analytics & Performance Monitoring 

  • Perform customer level analytics to help explain performance trends and provide insight in a timely manner for decision making.

  • Designing, developing, and maintaining user-friendly data visualizations and dashboards as well as Implementing best practices to ensure dashboard design consistency for the best user experience.

  • Carry out all regular and ad hoc data analytics activities to enable business to obtain better insights

  1. Predictive Analytics & Modeling

  • Develop and maintain machine learning models for forecasting customer behavior, churn, and business outcomes.
  • Conduct gap analysis to identify underserved areas and optimize agent network deployment.
  • Analyze mobile money agent liquidity, float availability, and transaction patterns to detect stress points and seasonal trends.
  1. Commercial Strategy Support

  • Partner with teams in Commercial operations to understand business needs and deliver tailored analytics solutions

  • Use data-driven insights to guide business strategy, ensuring alignment with organizational goals and market dynamics

  • Develop business cases for new initiatives and products.

  • Assess the impact of pricing, promotions, and market dynamics.

  • Provide data-driven insights to support forecasting, budgeting, and strategic planning.

KEY PERFORMANCE INDICATORS (SMART)

  • Timely and accurate performance reporting.
  • Automation and visualization of key metrics.
  • Delivery of actionable insights that influence commercial outcomes.
  • Development of robust business plans and financial forecasts.

Education 

  • A bachelor’s degree in Statistics, Mathematics or Computer Science
  • Proficiency in SQL and Python
  • Proficiency in Data Science & ML development and deployment
  • Advanced Knowledge in PowerBI.

Work Experience            

  • Minimum 5 years in the area of specialisation
  • Experience in data science, machine learning & advanced data analytics.
  • Proficiency in Power BI, SQL, PowerPoint, and advanced Excel modeling.
  • Strong understanding of telecom KPIs, revenue models, and operational metrics.
  • Proven ability to simplify complex data and influence strategic decisions.

 

Skills / physical competencies:

  • Strong analytical and storytelling skills.
  • Ability to align performance metrics with business goals.
  • Skilled in leading cross-functional collaboration and influencing senior stakeholders.
  • High attention to detail and commitment to data accuracy.
  • Proactive problem-solver with a results-driven mindset.
  • Expertise in Data Science & Machine Learning: Forecasting, segmentation, churn prediction, cluster analysis.

ABOUT US

We at MTN Uganda are a purpose and value-led organization!

At MTN Uganda, we believe that understanding our people’s needs and aspirations is key to creating experiences that delight you at work, everyday. We are committed to fostering an environment where every member of our Y’ello Family is heard, understood and empowered to live an inspired life.

Our values keep us grounded and moving in the right direction. Most importantly, they keep us honest. It is not something we claim to be. It is in our DNA.

As an organisation, we consider it our mission to create an exciting and rewarding place to work, where our people can be themselves, thrive in positivity and ignite their full potential. A workplace that boosts creativity and innovation, improves productivity, and ultimately drives meaningful results. A workplace that is built on relationships and achieving a purpose that is bigger than us. This is what we want you to experience with us!

Our commitments go beyond an organisational promise. It is in our leadership and managerial ethos to meaningfully partner with our employees, customers and stakeholders with a vision to realise our shared goals.

We are delighted that you are considering us as your career partner to make a mark in the world. We look forward to your application!

Female Applicants are strongly encouraged to Apply!

Note: In compliance to the Data Protection & Privacy Laws of Uganda, MTN Uganda will use your application documents for purposes for which they were intended for.

 

Skills Required

  • Bachelor’s degree in Statistics, Mathematics, or Computer Science
  • Proficiency in SQL and Python
  • Proficiency in data science and machine learning development and deployment
  • Advanced knowledge of Power BI
  • Minimum five years of experience in the area of specialization
  • Experience in data science, machine learning, and advanced data analytics
  • Proficiency in Power BI, SQL, PowerPoint, and advanced Excel modeling
  • Strong understanding of telecom KPIs, revenue models, and operational metrics
  • Proven ability to simplify complex data and influence strategic decisions
  • Strong analytical and storytelling skills
  • Ability to align performance metrics with business goals
  • Ability to lead cross-functional collaboration and influence senior stakeholders
  • High attention to detail and commitment to data accuracy
  • Expertise in forecasting, segmentation, churn prediction, and cluster analysis

MTN Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MTN Group and has not been reviewed or approved by MTN Group.

  • Parental & Family Support — Parental leave is positioned as notably generous in some markets, including widely cited six-month paid maternity leave and short paternity leave. Family-friendly support is also described through options like workplace childcare, adoption/surrogacy support, and related leave provisions in certain operating companies.
  • Strong & Reliable Incentives — Variable pay elements are described as a meaningful part of the package, including annual performance bonuses, sales commissions, and structured short-term incentives tied to performance outcomes. Longer-term incentive participation is also described for eligible grades through share-based or share-linked plans.
  • Wellbeing & Lifestyle Benefits — Wellbeing support is presented as visible and multi-dimensional, including mental, physical, and financial wellness programs and access to emergency assistance services for medical, security, and travel events. Lifestyle and telecom-specific perks are also described, such as connectivity allowances and flexible lifestyle benefit funds used for items like gym, travel, or school-related expenses in some locations.

MTN Group Insights

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The Company
HQ: Roodepoort
42,119 Employees

What We Do

Delivering voice, data, mobile financial services and digital products across 16 markets in Africa. For more info, visit: www.mtn.com

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