Working Student Center of Excellence Data & BI (d/f/m)
Essen, NW, DE, 45141
RWE
We dared to make a new start: With over 125 years of history, RWE has fundamentally changed and is now a leading supplier of renewable energies worldwide.
RWE Renewables Europe & Australia GmbH
To start as soon as possible, part time, fixed term
Functional area: IT / Digital
Join our dynamic CoE Data & BI, a crucial segment of our larger Data Department, dedicated to transforming data into actionable, valuable insights for our business colleagues. We focus on cultivating a self-service data culture, implementing frameworks, and providing consultation to enable our colleagues to run analyses independently. We are building knowledge centers and fostering a community of data experts. We are currently seeking a motivated working student to bolster our team.
About the role
As a working student in our CoE Data & BI, you will play a pivotal role in:
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Collaborating with various team members to comprehend and analyse business requirements
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Assisting in the implementation of data analytics frameworks and tools to empower business colleagues to perform their analyses
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Providing consultation and trainings to colleagues on building and maintaining their data analytics & visualizations
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Participating in the creation and nurturing of knowledge centers within the business to foster a community of data experts
Your everyday tasks will include:
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User onboarding, access management and technical project setup within our data and BI environments
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Supporting in the implementation of data analytics frameworks
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Assisting in the data extraction and transformation
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Providing support and guidance to business colleagues on creating and maintaining their dashboards
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Maintenance of our Self-Service Analytics Hub
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Preparing and supporting user trainings
Your profile
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Currently pursuing a degree in Computer Science, Data Science, Statistics, or a related field
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Passionate about data and data visualization
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Experience with BI Tools like PowerBI or Tableau and basic programming skills for SharePoint maintenance
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First experience with the data environments, e.g. Data Lake, Databricks, SQL, Python, Big Data or Spark
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Strong communication skills with the ability to elucidate complex concepts in a clear, simple manner
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Analytical mindset with excellent problem-solving abilities
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Self-driven and autonomous way of working and curiosity to learn and adapt to new technologies and tools
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Ability to work collaboratively within a team environment
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Fluent English skills, both written and spoken; German language skills are a plus
If you are passionate about data, eager to foster a data-driven culture, and ready to gain valuable experience in a dynamic team, we would love to hear from you. Apply today and help us transform data into meaningful business insights!
Apply with just a few clicks: ad code 90314, application period: 16/07/2025 .
Any questions? Contact HR: Ebru Merdivan, ebru.merdivan@rwe.com
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters
In the segments of onshore wind and solar, RWE Renewables Europe & Australia is among the largest electricity producers in Europe and has become a key player in the field of renewables. With its comprehensive „Growing Green“ investment and growth strategy, RWE is expanding green generation capacity – to more than 65 gigawatts by 2030.
To this end, RWE is investing €55 billion between 2024 and 2030. RWE Renewables Europe & Australia is focusing on its core markets in Europe and Australia. The team with 1,800 colleagues across 11 countries has come a long way already. With the project pipeline well filled in all technologies, battery storage, onshore wind power and solar energy, you’ll have the freedom to act with conviction and courage as we pivot to new technologies – and continuously improve, together.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data Analytics Databricks Data visualization Power BI Python SharePoint Spark SQL Statistics Tableau
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