Mission/ Core purpose of the Job
To deliver key advanced data analytics projects, data driven pricing and innovative data solutions to
serve the entire company and contribute to the improvement of data platform developments and
efficiency within Business Intelligence division

Main Job Functions:
• Support the Shareholder return strategy by implementing the Division’s processes that are aligned to achieving all elements on the business score card. (I.e. Grow Market Share Grow ICT & Data Revenue, Increase EBITDA margins, Assure Revenue, CAPEX Returns Management and Net Subscriber Additions).
• Participate in Business Processes (i.e process optimisation through automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability) to drive efficiency gains to ensure at least 5% reduction in Divisional budget year-on-year.

Serve MTN UG’s customers and provide solutions to improve the customer experience.
• Improve MTN UG’s Net Promoters Score
• Develop, test and maintain data pipelines that are scalable, repeatable, and secure and can serve business needs of the organisation
• Collaborate with other division units in demand management to achieve the set delivery targets all year round.

Collaborate with other division units towards streamlining information management through supporting successful platform shutdowns and migrations, inhouse delivery.

Achieve service level delivery against the agreed business targets.

Adhere to data management standards, policies and procedures in order to manage risks associated with data.
• Continuously seek self-professional development to sharpen skills and capabilities in a versatile and evolving digital landscape.

Job Requirements (Education, Experience and Competencies)
Education:
• First degree in any discipline preferably Software Engineering, Information Systems, Data Science, Computer Science or equivalent
• Master’s Degree in a relevant discipline will be an added advantage.

Experience & Skills:
• 3+ years of work experience in Software Development and Data Science related projects in large organization
• Worked across diverse cultures and geographies advantageous

Detailed working experience of data governance and standards.

Training:
• Data Science, Machine Learning and Data Analysis
• Computer Science, Software Engineering and Applied Mathematics
• Systems design and testing
• Big Data technologies
• Data Warehousing

Functional Competencies:
• Analytical Thinking
• Business Process Design and Reengineering
• Decision Making
• Information Management
• Prioritisation
• Problem Solving
• Project Planning and Control
• Reporting
• Software Development and management
• Strategic Thinking
• System Analysis
• System Design and Integration
• Telecommunications Technology Fundamentals

Leadership Competencies:
• Results orientation
• Committed to making a difference
• Credibility
• Building collaborative relationships
• Engaged management
• Developing & empowering
• Influencing, Leadership, Power
• Sound judgment
• Strategic planning
• Risk-taking, Innovation
• Global awareness
• Planning and Budgeting
• Software Development and management
• Strategic Thinking
• System Analysis
• System Design and Integration
• Telecommunications Technology Fundamentals