Planning Analyst

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Job Description - Planning Analyst

Job title : Planning Analyst jobs in Lagos Job Location : Lagos Deadline : May 23, 2024 Quick Recommended Links

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.
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