Reports To: Senior Manager - Analytics Insight and Machine Learning

Division: Marketing

Mission:
To lead a team of analysts, leveraging advanced analytics techniques and providing actionable insights to improve customer lifetime value and drive business growth.
To lead the function to initiate an in-depth knowledge solution for MTNN on the telecoms sector in Nigeria via reliable competitor analysis and monitoring.

Description:
Utilize statistical tools and techniques to analyze large datasets related to customer behavior, preferences, and interactions.
Identify multiple relationships and disconnects using big data analytics to identify trends in customer dynamics.
Ensure that all information and data collected, stored, shared, and reported are in line with MTNN Guidelines.
Build and maintain up-to-date information on the MTNN subscriber profile.
Deliver on key business metrics, i.e., subs profiles, revenue, ARPU, churn, product performance, competitive environment, and their relevant metrics.
Create and maintain dashboards and reports that provide real-time insights into customer behavior and trends.
Ensure data visualizations are accessible and easy to understand for non-technical stakeholders.
Manage and report on the market share and provide appropriate advice on the emerging market trend.
Perform evaluations and produce reports on promotions, products, and other activities within MTNN marketing (including promotions, products, etc.) to give MTN a competitive advantage in the telecoms market.
Communicate detailed, accurate, timely, and easily accessible information to all MTNN subscribers.
Gather and analyze a variety of subscribers’ information and data relevant to business operations, markets, and customers.
Liaise with IT and other departments to ensure marketing and MTNN requirements are met by the EDW.
Coach and train the team to ensure understanding of the objectives and goals of the department, awareness of set targets and requirements, and regular review of their training needs.
Review the performance of individual team members and complete appraisals in accordance with the employee performance appraisal procedures and time schedules.
Identify the training requirements of team members and develop a program to address knowledge gaps and enrich the knowledge repository within the department.

Education:
A first degree in Data Science, Economics, Statistics, Business Analytics or a related discipline
A master's degree (MBA or M.Sc.) in any of the afore-mentioned disciplines will be an added advantage.
Fluent in English

Experience:
6–13 years’ experience, which includes:
Minimum of 3 years’ experience in an area of specialization, with experience in supervising or managing others.
Experience working in a medium- to large-sized organization
Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL)
Experience with data visualization tools (e.g., Power BI, Tableau) is a plus.
Excellent communication and presentation skills, with the ability to convey complex insights to non-technical stakeholders.
Knowledge of telecommunications industry trends and customer dynamics is a strong advantage.