Job Summary
The key purpose of this role is to gather, analyze, 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 Roles 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.
Key Attributes and Competencies:
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.
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.
