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 vacant position below: Job Title: Analyst, Performance Analysis and Reporting (Supervisory)
Location: Lagos
Job Description
To ensure growth in MTNN’s base in line with the strategic business objectives
Propose effective route-to-market options in implementation of all defined strategies for customer retention.
To manage and monitor customer SIM Card Registration across all regions and provide basic enablement for smooth operations across cross functional units.
Prepare MFS reports, develop forecasts and make fact-based recommendations to management for improved profitability
Perform data and trend analysis of all revenue generating transactions, commissions, targeted campaigns within Mobile financial services
Participate in developing quarterly reforecasts and annual plans and ensure relevant business rules are applied in the budget process and forecasting scenarios for MFS
Provide analytical commentary to support the analysis, risk assessments and forecasts
Analyze market and economic conditions in order to develop metrics to measure performance and drive profitable growth
Accumulate and maintain all MFS customer related data
Perform ad hoc analysis of business issues as needed to support the achievement of MFS goals
Deliver on key business metrics i.e. Active subscriber (RGS 30), Agent distribution, revenue, Churn, Savings, Product Performance, competitive environment and their relevant metrics as impacts Mobile financial services
Ensure that all information and data collected, stored, shared and reported are in line with MTNN Guidelines
Analyze and report special focus MFS KPIs and activities e.g. campaigns, service channels, product and services adoptions, accounts and customer profitability, customer satisfaction, etc.
Communicate detailed, accurate, timely, and easily accessible information on all MFS KPI’s (financial and non-financial)
Collaborate with IS (EDW and others) and BI to ensure reports meet specifications and made available as per SLA
Participate in developing a robust and detailed demand forecast on all services and products within Mobile financial services
Serve the Division’s internal customers and provide solutions to improve the customer experience.
Drive an increase in MTNN’s Net Promoter Score.
Liaise with other departments such as Finance, Information Service, Enterprise Solution and Marketing to understand their input into MFS
Gather and analyze a variety of customer and agent data for segmentation, risk assessment, campaigns etc
Liaise with IS and other departments to ensure MFS and MTNN requirements are met by the EDW
Network and build solid relationships with internal units and relevant third parties (e.g. strategic investors, technical and finance partners, business consultants etc.) and develop a close working relationship with relevant information sources to provide an integrated service.
Maintain effective working relationships with internal and external suppliers.
Coordinate, coach and influence external partners and essential support departments across MTNN’s business units to deliver a seamless pre-sales and post-sales service experience., Continuously seek self-professional development to sharpen skills and capabilities in a versatile and evolving digital landscape.
Foster active collaboration and relationships with employees across all levels and divisions in line with MTN’s VB and values.
Job Condition
Normal MTNN working conditions
May be required to work extended hours
Open plan office
Experience & Training
Education:
First Degree in any Financial related discipline
Fluent in English
SQL certification (Added advantage)
Experience:
3 - 7 years of experience with experience working in a medium organisation
Experience in Data Mining & Analysis tools such as (R, Toad, SAS and MS Excel)
Experience in using Business Intelligence tools for data insights generation such as (Power BI, MS Power point, MS Excel)
Good understanding of customer data analysis, propensity modelling and segmentation techniques; excellent understanding of data manipulation and interrogation techniques
Training:
Forecasting principles
Reporting
Business Performance Measurement, management and improvement