Join Jungheinrich in a working environment where you can make a big difference! With your knowledge and drive, as a team player you will make an important contribution to ensure that we as a company continue to be among the global leaders in our industry. Working side by side with colleagues who enjoy bold ideas and in a family environment that offers you every opportunity to reconcile your professional and private goals.

Your main responsibilities:

• Preparation and implementation of field quality-data analyses combining different data sources (e. g. SAP, IFS, …) to identify needs for action as well as efficiency improvements opportunities

• Develop and build dashboards with either of the tools mentioned below according to the requirements of the product quality team.

• Alignment of report with all relevant stakeholders

• Maintain existing dashboards and update documentation

• Train staff in corporate quality in relevant tools if needed

Therefore, a successful candidate would have:

• Bachelor's/Master's degree (optionally technician training with relevant professional experience)
• Technical background
• IT skills (see below)
• Proven experience in the IT tools
• Experience with AI would be beneficial

Jungheinrich was founded in 1953 in Hamburg by Dr. Friedrich Jungheinrich as a family business. Today, we are one of the world's leading intralogistics companies with a unique product portfolio: from conventional industrial trucks to fully automated solutions intralogistics companies. Headquartered in Hamburg, Germany, Jungheinrich is represented by its own direct sales companies in 41 countries and by partner companies in around 80 other countries around the world, and employs more than 19,000 people internationally.

We look forward to receiving your online application.

For questions, please contact our Recruiter.

At Jungheinrich, we value inclusion and diversity and practice equity to create equal opportunities for all. All qualified applicants will receive consideration for employment without regard to age, race, ethnic background, color, religious affiliation, union affiliation, gender, gender identity, sexual orientation, marital status, national origin, nationality, genetics and health or disability.