Regional Forecasting Specialist

Manpower

We are looking for a "Regional Forecasting Specialist ( Cosmetics )" for our global client operating in Cosmetics sector.

Qualifications:

• Minimum of 3 years work experience (Forecasting , demand planning , supply planning ).Advance MS Office skills (Excel, Power Point),
• Fluent English,
• University bachelor degree, preferably in, Economics, Engineering or Statistics,Analytical - an excellent eye for numbers and understanding for cause and effect, to ensure optimal prices,
• Thorough - careful in his/her work, ensuring that calculations are correct,
•  Deadlines must be met, and details are under control. Well-organized & methodical,
• Initiative - self-motivated and be able to work independently,He/she should have a curious mind-set always looking for new possibilities and ways of improving the KPIs,
• Team player – strong communication skills and work well with other departments as well as countries who often sit far away and may have differing agendas and focus,
• Open-minded, positive and committed.

Job Description:

• Ensure delivery of accurate and complete product forecast for catalogue, 
• Responsible to review the product forecast performance for the closed sales periods and ensure the forecast is updated on campaign basis accounting for the sales trend.
• Prepare necessary materials and input on forecasted performance for catalogue statistics reviews and catalogue sign-off meetings with regional marketing team explaining clearly drivers behind forecast and highlighting areas for improvements.
• Always strive to improve forecasting accuracy to enable better decision-making in sales planning and higher service levels.
• Ensure smooth and continuous interaction with local sales and marketing department to align expectations on product and sales forecast parameters and local sales plans.
• Monthly stock reviews along with Supply team.
• Assist Regional Forecasting Manager in analyzing and reporting Forecasting KPIs and make recommendations for future actions to improve forecasting accuracy.