Akzo Nobel Car Refinishes (Singapore) Pte Ltd – Assistant Demand Planner

Company
Akzo Nobel Car Refinishes (Singapore) Pte Ltd
akzonobel.com
Designation
Assistant Demand Planner
Date Listed
06 Jan 2017
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 6 Months
Profession
General Management
Industry
Location Name
3 Changi Business Park Vista, AkzoNobel House, #05-01, Singapore 486051
Allowance / Remuneration
$800 - 1,500 monthly
Company Profile

We’re a leading global supplier of performance coatings. Our products are essential for customers in a broad range of markets, including transportation, buildings and infrastructure, industrial and consumer goods. They are used by customers across the world to protect and enhance everything from ships, cars, aircraft, yachts and architectural components (structural steel, building products, flooring) to consumer goods (mobile devices, appliances, beverage cans, furniture) and industrial installations such as oil and gas facilities and wind turbines.        

Our products are designed to perform to the highest standards, but we also deliver on aesthetics, with world-leading color technologies, color matching and trends research, as well as expertise in surface treatments for consumer goods such as furniture, home appliances and mobile devices.

Job Description

-Translates” the Sales and Marketing plans into a Sales Demand Plan in theforecasting system

-Build monthly forecast using statistical tool and additional market information and concentrates on the 4 – 24 months period

-Responsible for master data required to perform statistical forecasting (e.g.corrected history)

-Looks for choosing the most adapted forecasting model per product group and customer group

-Responsible for making sure that all sales area managers and account managers enrich the forecast in time

-Refine forecast based on latest information on a day to day basis

-Identify gaps between target and unconstrained demand plan

-Supports the IBP process

-Follow up the forecast accuracy, Bias+, Bias-, DS accuracy, in order to get the required target

-Supports the improvement of the forecasting system

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