• Application Deadline:
• Position: Analyst - SCM Technology, Finance



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 3 - 7 years



• Location Lagos




• City Ikoyi




• Job Field Data, Business Analysis and AI 
  
  

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