MTN Nigeria – The leader in telecommunications in Nigeria, and a part of a diverse community in Africa and the Middle East, our brand is instantly recognisable. It is through our compelling brand that we are able to attract the right talents who we carefully nurture by continuously improving our employment offerings even beyond reward and recognition.

We are recruiting to fill the position below:

Job Title: Analyst – Data Analytics, Network

Job Identification: 7452
Location: Ikoyi, Lagos
Reports To: Manager – Network Business Performance and Quality Assurance
Division: Network

Description

• Assist the CTO with the identification, conceptualization and championing of activities, projects and or assignments aimed at optimizing performance within Network division.
• Develop machine learning models for network monitoring
• Perform predictive analytics (fault detection, congestion forecasting)
• Promoting a data-driven culture within Network Group
• Contribute to MTN’s Autonomous Network roadmap
• Develop AI use cases including:
• • Predictive fault detection
  • Traffic forecasting
  • Network anomaly detection
  • Root Cause Analysis (AI-assisted)
• Build automated dashboards and alerting systems
• Integrate AI into NOC and performance workflows
• Maintain data models and pipelines (structured/unstructured data).

Requirements
Education:

• First degree in any related discipline
• Possession of an MBA or Project Management certification will be an advantage
• Fluent in English.

Experience:
3-7 years’ experience which includes

• Minimum of 3 years’ experience in an area of specialization; with experience in supervising others
• 3+ years in data analytics or machine learning
• Telecom network experience (RAN/Core/Transport)
• Experience in:
• Python / SQL / Spark / Hadoop
• ML frameworks (TensorFlow, Scikit-learn, PyTorch)
• Exposure to OSS/BSS systems and telecom analytics platforms.

Application Closing Date
23rd June, 2026; 12:55 AM.

How to Apply
Interested and qualified candidates should:
Click here to apply online