Consultant Supply Chain Optimization - Mechelen, België - Ordina

Ordina

Geverifieerd bedrijf

Mechelen, België

4 weken geleden

Geplaatst door:

Sophie Dubois

beBee Recruiter

Beschrijving

Introduction:

As a Consultant to Ordina's Supply Chain Planning and Optimization team, you are in the pole position for improving the planning of your customers.

You work, from Belgium (Mechelen, Lummen or Ghent) or the Netherlands (Nieuwegein) for various clients who have to deal with complex planning puzzles in, for example, the Chemical Industry, Life Sciences or Consumer Goods.

You will use the top technology of OMP, a software solution for complex production planning, with which Ordina entered into an ambitious partnership.

As a member of a project team, you will analyse customer needs and ensure the implementation and delivery of high-quality, validated and documented solutions.

To master this technology, together with a number of team members who also step into this process, you will first receive a thorough training.

You are responsible for:

Collecting and formulating business requirements and translating functional requirements into technical solutions.
The continuous improvement of this solution and the development of new functionalities.
Validating new functionalities with the various stakeholders.
Implementing the solution from A to Z, together with your Ordina project team and the team on the customer's side.
Offering expert knowledge in customer projects during, during and after implementation.

Ordina is one of the market leaders in the Benelux in supporting customers with digital solutions and thus helping them to be ahead of change.

2700 Driven and passionate consultants work for Ordina.
Within Ordina there are several areas, each of which specialises in a particular technology.

The Ordina Supply Chain Optimization (SCO) team is a team of currently 60 consultants spread across Belgium and the Netherlands with years of experience in the field of Planning Solutions, Manufacturing Operations Management (MOM) and Optimization.

We make the difference by delivering intuitive solutions that guide and support the customer in making decisions that are in line with their intended business objectives

Who we are looking for:

Bachelor or university degree, preferably in econometrics, applied economics, mathematics, commercial sciences, civil engineer or commercial engineer.
A minimum of 2 years of relevant work experience in a similar position, preferably in the Chemical Industry, Life Sciences or Consumer Goods
Experience with APS software and/or ERP systems
Experience with SQL
Basic programming skills or interest in learning this quickly
Excellent analytical skills and problemsolving skills.
Good communication skills and the ability to connect with different stakeholders.
Passion for working in a multinational customerdriven environment.
A friendly and open approach to working in a team.
A high degree of responsibility, customeroriented and wanting to contribute to the development of our services
You feel comfortable communicating in English

What we offer:

You contribute to challenging projects at top international and Belgian companies in diverse sectors
You work in a hightech environment with a focus on knowledge and innovation, an open nononsense business culture with space for personal initiative
You keep your technical and social skills up to date at our Ordina Academy you are supported in obtaining certificates
You receive a competitive salary package with additional benefits such as a company car, laptop, insurance package, luncheon vouchers, expense account etc.
You can take part in fun business and team building activities
You can optimize your net salary thanks to our IPreward

Extra:

Everyone is welcome to apply. Because we believe in the power of diversity and value inclusion. After all, the best ideas and smartest solutions arise in diverse teams. That is exactly why we pay so much attention to the composition of our high performance teams. So that you feel at home and can get the best out of yourself.