Order Management Analyst- Dutch Speaking at MSD
Praha, Praha, Czech -
Full Time


Start Date

Immediate

Expiry Date

20 May, 25

Salary

0.0

Posted On

21 Feb, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Supply Chain, Finance, French, Dutch, English, Powerpoint

Industry

Logistics/Procurement

Description

Job Description
Join OUR COMPANY, a global leader in healthcare, as we shape a healthier future through innovative medicines, vaccines, and animal health products. We value integrity, diversity, and collaboration, creating an environment where you can thrive alongside talented colleagues and grow your career.

POSITION OVERVIEW

As an Order Management Analyst at our Business Service Center in Prague, you will manage the entire order process for a variety of healthcare clients, ensuring timely and accurate execution. You’ll be the vital link between customers and internal teams, addressing needs and solving issues to maintain strong relationships and compliance.

QUALIFICATIONS

  • Bachelor’s degree in Business, Supply Chain, or Finance.
  • Minimum 2 years of experience in finance or supply chain, preferably in a multinational setting.
  • Order Management experience is a plus.

LANGUAGE SKILLS

  • Proficient in English and Dutch (spoken and written); French is a plus.

SKILLS

  • Strong organizational and communication skills.
  • Ability to thrive in a fast-paced environment.
  • Advanced PC skills (MS Excel, Word, PowerPoint); SAP experience is an advantage.
Responsibilities
  • Process sales orders efficiently for wholesalers, retailers, and healthcare providers.
  • Provide timely updates and maintain clear communication with customers.
  • Collaborate with supply chain and channel development teams to navigate supply challenges.
  • Coordinate activities around month-end and quarter-end to align resources.
  • Manage claims and issue resolution, ensuring compliance with internal policies.
  • Generate reports and analyze order data to support financial and operational decisions.
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