
Apprentissage - Reverse Logistic Business Analyst H/F - VusionGroup
- Cergy - 95
- CDI
- VusionGroup
Les missions du poste
Are you ready to develop the future of retail?
As the world's leader in IoT and data technologies for commerce, our mission is to help retailers and brands use digitalization to become more efficient, more intelligent, and more sustainable-and in doing so, enable more positive commerce.
VusionGroup is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one team-agile thinkers, tech makers, and change agents-we can build the largest retail IoT platform in the world.We build. We create impact.
You'll join the reverse logistic team and will collaborate with a diverse team of hardware engineers, supply chain specialists, product owners to help us deliver the highest standards for safety, IOT devices and customer experience.
Reverse Logistics is an electronics processing, reuse, and recycling service that works to extend the life of used electronic equipment through reuse, repair, replacing and recycling.
This role will therefore bear true responsibility. So, with the reverse logistic manager you will :
- Work on a diverse project portfolio supporting demand planning, sustainability, product and accounting recovery initiatives and strategy.
- Collaborate with multiple business teams, Operations, Commercials, Program Management and Product owner.
- Coordinate global analytic roll-ups in support of project work and reporting as needed.
- Create new reporting & analytic opportunities by analyzing and understanding key processes.
- Document writing and presentations on key initiatives used to influence necessary business actions benefiting the RL Network.
Le profil recherché
Qualifications we're looking for.
- Final year of study (engineering or university) in course specializing in data processing
- Analytical, curious, creativity & proactivity
- Ability to work closely with teams
- You enjoy and are used to working in a fast-paced & ever-changing environment
- Experienced in a similar role
- Fluent in English
- You have experience in data analysis and data visualization
- You have basic knowledge of supply chainTeam