MTN Nigeria is part of the MTN Group, Africa\'s leading cellular telecommunications company. On May 16, 2001, MTN became the first GSM network to make a call following the globally lauded Nigerian GSM auction conducted by the Nigerian Communications Commission earlier in the year. Thereafter the company launched full commercial operations beginning with Lagos, Abuja and Port Harcourt. MTN paid $285m for one of four GSM licenses in Nigeria in January 2001. To date, in excess of US$1.8 billion has been invested building mobile telecommunications infrastructure in Nigeria. Since launch in August 2001, MTN has steadily deployed its services across Nigeria. It now provides services in 223 cities and towns, more than 10,000 villages and communities and a growing number of highways across the country, spanning the 36 states of the Nigeria and the Federal Capital Territory, Abuja. Many of these villages and communities are being connected to the world of telecommunications for the first time ever. The company\'s digital microwave transmission backbone, the 3,400 Kilometre Y\'elloBahn was commissioned by President Olusegun Obasanjo in January 2003 and is reputed to be the most extensive digital microwave transmission infrastructure in all of Africa. The Y\'elloBahn has significantly helped to enhance call quality on MTN network.
Job ID: 6764
Mission
- Responsible for actual monitoring and managing of supplier performance against the defined KPIs.
Description
- Resolve escalations as per defined escalation/resolution procedures
- Participate and provide inputs to project status meetings
- Propose operational changes and provide associated user impact assessments
- Ensure effective execution of day-to-day operations and at the Opco and resolve operational issues
Data Analysis & Insight Generation:
- Explore, cleanse, and analyze large, multi source datasets (ERP/AP, procurement, contract, risk, and operational systems) to identify trends, variances, and root causes.
- Produce clear insight packs and narratives that inform supplier performance reviews, category strategies, and Finance month end commentary.
- Develop scenario analyses and what if models for cost optimization, cashflow, working capital, and SLA/OTD (On Time Delivery) impacts.
Data Modelling (Semantic & Analytical);
- Design scalable dimensional models (Star/Snowflake) for Finance and Supplier Performance subject areas (e.g., Spend, POs, Invoices, GR/IR, Supplier Risk, SLA metrics).
- Build efficient Power BI datasets using best practices (e.g., surrogate keys, incremental refresh, aggregation tables, role based security).
- Optimize DAX measures and model relationships for performance and accuracy.
Dashboard Development (Power BI):
- Build and maintain interactive, user centric Power BI dashboards with drill through, bookmarks, and tooltips for executives and operational users.
- Implement consistent visual standards, data definitions, and metric catalogs (KPIs and KRIs) across reports.
- Manage dashboard lifecycle: requirements → UX wireframes → build → UAT → deployment → adoption tracking.
Automation & Data Engineering (Lightweight):
- Automate recurring data preparation and reporting using Power Query, Python, or SQL; orchestrate schedules via Power BI service or enterprise scheduler.
- Create robust, auditable workflows for monthly/weekly refreshes; implement alerting and data quality checks.
- Build parameterized pipelines for ad hoc analyses and rapid re use.
Requirements
Education:
- Bachelor’s degree in finance, Economics, Data Science, Supply Chain Management, or related field.
- Fluent in English
Experience:
- 3-7 years’ experience in an area of specialization; with experience working with others
- 2–4 years in financial analysis, data analytics, or supply chain management.
- Advanced proficiency in Power BI, Excel, and SQL.
- Strong knowledge of financial modelling and scenario analysis.
- Experience with automation tools (Power Automate, Python, or similar).
- Experience working in a medium organization Working knowledge of Oracle
Method of Application
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