Stock Analyst

DOUGLAS is the number one omnichannel premium beauty destination in Europe. The company is inspiring customers to live their own kind of beauty by offering a unique assortment online and in around 1,850 stores.
With unparalleled size and access to customers, DOUGLAS is the partner of choice for brands and offers a selected range of selective and exclusive brands as well as own corporate brands. The assortment includes fragrances, make-up, skin care, hair care, accessories as well as beauty services. Strengthening its successful omnichannel positioning while consistently developing superior customer experience is at the heart of the company’s strategy “Let it Bloom – DOUGLAS 2026”.
The winning business model is underpinned by DOUGLAS’ omnichannel proposition, leading brands, and data capabilities. In the fiscal year 2022/23, DOUGLAS generated sales of 4.1 billion euros and employed around 18,000 people across Europe.

Job Purpose:

The primary responsibility of stock controller is maintaining optimal levels of stock at all times. Aside from constantly evaluating product count, they must foresee supply and demand, taking a strategic approach to replenishing so that both overstocking and running out of stock are avoided.
He or She also take charge of internal stock transfers, moving products to other store branches if needed or removing obsolete items.

Utilize the companys inventory and sales software platform to check in products, compare deliveries to outstanding purchase orders and to analyse the sell-out trends
Collaborate with purchasing group to determine when products are missing from deliveries and contact vendors in regards to damaged product
Work closely with Warehouse Manager to make sure that each packaged order has the correct amount and types of products

The Successful Applicant Must Possess:
A minimum of 1-2 years working experience in the FMCG industry with some exposure to category management or space planning
Good analytical skills with strong attention to detail
Good communication skills
Proven research skills to understand consumer and category insights
Strong Excel knowledge