• Application Deadline:
• Position: Planning Analyst


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

The key purpose of this role is to gather, analyse, and interpret data to provide insights and recommendations that contribute to informed decision-making, requiring a detail-oriented individual with strong analytical skills and collaborate effectively with cross-functional teams.

Key outputs and responsibilities:

• Partner with colleagues to implement enhancements for increase efficiency, accuracy, and effectiveness of planning reports using Power Bi & other analytical tools.


• Analyse raw data to identify patterns, trends, and key insights relevant to the planning process.


• Work closely with our NoCC and Solutions functions to optimize and automate reporting across all planning areas;


• Collaborate with MRP Planners, SNP Planner, RetPack Specialist, Warehousing & Logistics teams in reconciling any discrepancies observed in Materials & Empties Opening Stock, Material Usages, Production, Injection & RTI across all sites.


• Schedule & follow through on dispatches of materials to the various plants from local and international suppliers.


• Identify deviations from planned deliveries and investigate root causes.


• Generate & follow through the approval process for all Purchase Requisitions raised & oversee the timely GRN of all materials delivered to sites.


• Assist to follow up with suppliers & T1 team in coordinating the delivery, pickup, and maintenance of returnable packaging assets.


• Track and review Obsolete & Near Expiry Materials with the Material Planning team for decision taking.

Minimum Requirements:

• Bachelor’s Degree in Computer Science, Information Management, Statistics, or a similar field


• Prior experience in data analysis or related areas considered advantageous.


• Possess a robust grasp of statistics and hands-on proficiency in statistical tools like Excel, along with expertise in data analysis languages such as SQL and Python.


• Excellent communication skills with the ability to present complex information in a clear and concise manner.


• Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.