Process & Analytics Engineer (12-Month Contract)

Just imagine turning complex Packing & Packaging processes into clear global standards, actionable insights and a foundation for future automation. Then make it real. 

As our Process & Analytics Engineer, you'll connect processes, data and technology across Packing & Packaging, helping us simplify how we work and make better use of operational data. Over this 12-month role, you'll support the entire Packing & Packaging area with process documentation in SAP Signavio, support analytics for productivity initiatives and help create global standards that enable smarter, more automated ways of working. 
 
Please note: This position is based in Billund, Denmark. Our flexible working model allows employees to work 3 days/week in-office and 2 days/week from home. There is no relocation for this role. 
 

• Knowledge of process documentation and use of SAP Signavio. 

• Analytical skills that you can bring into play to identify productivity opportunities across Packing & Packaging. 

• Used Power BI, Python, Databricks, SQL and/or Microsoft Fabrics to analyze and visualize operational data. 

• Strong collaborator who proactively connects with others, seeks diverse perspectives, and turns shared knowledge into learning and action. 

• Digital curiosity and willingness to learn and see the connection between process maps, data availability and potential for improvements. 

• Document Packing & Packaging processes in SAP Signavio at a level that supports consistent global standards as the role of process modeller. 

• Turn operational data into insights that help teams identify productivity opportunities and improvement priorities. 

• Connect processes, data and technology to explore smarter, more automated ways of working. 

• Contribute to the packing performance programme where we build central data management for Packing & Packaging. 

• Help develop a clearer end-to-end view of processes, trends and opportunities for improvement. 

If you've worked in a role where you connected data analysis, process improvement and system optimization, you'll feel at home here. What matters most is your ability to collaborate across teams with two focus areas – documenting our processes and build data insights to drive improvements. 

You'll join Analytics & Digital Transformation within R&D Packing & Packaging in Operations. We're focused on transforming manual processes into digitally enabled ways of working and providing reliable analytics for global, data-informed decisions. We stay connected through collaboration, knowledge sharing and regular team meetings, while keeping a flexible hybrid rhythm. You'll bring change agility and data fluency to a team where sharing ideas and learning from each other are part of how we work. 

You'll have helped make Packing & Packaging processes clearer, more consistent and ready for future automation, while improving our ability to spot productivity opportunities through data. Looking ahead, the team is strengthening central data management through the packing performance programme, making trends and improvement opportunities easier to identify. You'll work closely with stakeholders across Packing & Packaging as those capabilities develop. 

 
To apply: Please share in English your CV and motivational letter (maximum upload size per file is 5 MB). 

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

Here is what you can expect: