Working Student - Performance Team (f/m/d)

For our Performance Team in Düsseldorf we are looking for You!

We are Uniper

At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you!

Your responsibilities

The Flexible Energy Northern Europe Performance Team is part of the Flexbible Energy Fleet in Energy Assets consisting of 17 power plants, ~9.1GW installed capacity, located in 5 countries. We want YOU to help us achieving and overcoming the targets we set for this year and working on defining our journey.

The Key Activities You Will Focus On

• HSSE: Set up data intelligence dashboards that help detecting trends, monitoring performance and raise attention
• Plants Performance: Working with the team, site performance engineers and Asset Management to improve our performance indicators for the Fleet and propose solutions to the needs of harmonization and customization across countries
• Digitalization: Work with the COODE Connector and Central Performance Team to support the Fleet Digital Transformation program including use case development and prioritization. Furthermore, become acquainted with agile project management techniques
• Digitalization: Support & develop digital performance management dashboards for monthly performance dialogues utilizing Power Apps & Power BI

Your profile

• Student of Data Science and/or Data Engineering, or something similar in the Engineering field
• Proficient in Power Apps and Power BI dashboard building to enable performance management, statistical analysis and retrieval processes on a large amount of data
• Understanding of Machine Learning and AI concepts
• Competence with Programming Languages such as SQL, Python and Anaconda libraries as well as PowerBI. Interest/experience in Computer Science and Communications Technology
• Advanced MS Excel, experience with Time Series Process Data archives such as OSISoft PI including Asset Framework, Integrator and Vision
• Strong written and verbal communication in English and German