Overview

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 the compelling brand that we can attract the right talents, whom we carefully nurture by continuously improving our employment offerings even beyond reward and recognition.

Job Position: Analyst – SCM Technology, Finance
Location: Ikoyi, Lagos

Mission

Responsible for actual monitoring and management of supplier performance against the defined KPIs.

Description

  1. Resolve escalations as per defined escalation/resolution procedures
  2. Participate and provide inputs to project status meetings
  3. Propose operational changes and provide associated user impact assessments
  4. Ensure effective execution of day-to-day operations at the Opco and resolve operational issues

Data Analysis & Insight Generation:

  1. Explore, cleanse, and analyse large, multi-source datasets (ERP/AP, procurement, contract, risk, and operational systems) to identify trends, variances, and root causes.
  2. Produce clear insight packs and narratives that inform supplier performance reviews, category strategies, and Finance month-end commentary.
  3. Develop scenario analyses and what-if models for cost optimisation, cashflow, working capital, and SLA/OTD (On Time Delivery) impacts.

Data Modelling (Semantic & Analytical);

  1. Design scalable dimensional models (Star/Snowflake) for Finance and Supplier Performance subject areas (e.g., Spend, POs, Invoices, GR/IR, Supplier Risk, SLA metrics).
  2. Build efficient Power BI datasets using best practices (e.g., surrogate keys, incremental refresh, aggregation tables, role-based security).
  3. Optimise DAX measures and model relationships for performance and accuracy.

Dashboard Development (Power BI):

  1. Build and maintain interactive, user-centric Power BI dashboards with drill through, bookmarks, and tooltips for executives and operational users.
  2. Implement consistent visual standards, data definitions, and metric catalogues (KPIs and KRIs) across reports.
  3. Manage dashboard lifecycle: requirements → UX wireframes → build → UAT → deployment → adoption tracking.

Automation & Data Engineering (Lightweight):

  1. Automate recurring data preparation and reporting using Power Query, Python, or SQL; orchestrate schedules via Power BI service or enterprise scheduler.
  2. Create robust, auditable workflows for monthly/weekly refreshes; implement alerting and data quality checks.
  3. Build parameterised pipelines for ad hoc analyses and rapid reuse.

Requirements
Education:

  1. Bachelor’s degree in finance, Economics, Data Science, Supply Chain Management, or related field.
  2. Fluent in English

Experience:

  1. 3-7 years’ experience in an area of specialisation, with experience working with others
  2. 2–4 years in financial analysis, data analytics, or supply chain management.
  3. Advanced proficiency in Power BI, Excel, and SQL.
  4. Strong knowledge of financial modelling and scenario analysis.
  5. Experience with automation tools (Power Automate, Python, or similar).
  6. Experience working in a medium organisation, with Working knowledge of Oracle

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

Tagged as: Accounting, Data, Finance, Science, Technology

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