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Rezi rewrites your resume against BTB Energie GmbH's job description. Free.
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About the Role
Gain initial practical experience in Digital Controlling & Business Intelligence, actively contributing to processes. Support the controlling team as a dedicated working student (15-20 hours/week) to make processes smarter, efficiently process data, and turn information into real decision-making bases. Work at the intersection of controlling, process optimization, data analysis, and business intelligence, gaining comprehensive insight into the commercial management of an energy company.
Responsibilities
- Support the analysis and optimization of existing controlling processes and identify common automation and digitalization potentials.
- Participate in the preparation, structuring, and visualization of data in business intelligence applications, especially Power BI.
- Further develop existing reports, dashboards, and key performance indicator systems, and support the creation of new analyses.
- Assist in merging different data sources, improving data structures, and efficiently designing recurring data preparations.
- Analyze commercial data and support controlling with ad-hoc analyses and management reports.
- Gain insights into classic controlling topics such as planning, forecasting, actual-budget comparisons, and variance analyses.
Requirements
- Ongoing studies in a relevant field (e.g., Business Administration, Information Systems, Industrial Engineering, Data Science) or comparable.
- Structured, analytical, and independent work style with a willingness to contribute own ideas.
- Ability to present complex issues understandably and develop meaningful information from data.
- Good knowledge of Microsoft Excel.
- Basic knowledge of Power BI, Power Query, and Vibe Coding.
- Experience with SQL, Python, VBA, or Power Automate is advantageous.
- Availability of 15-20 hours per week during the semester, with the option for more hours during semester breaks.
- Communication skills, teamwork, willingness to learn, and independence.
Skills
- Microsoft Excel
- Power BI
- Power Query
- Vibe Coding
- SQL
- Python
- VBA
- Power Automate
Work Type
- Working student
- Partially mobile
Experience Level
- Working student
Education Level
- Relevant field of study (e.g., Business Administration, Information Systems, Industrial Engineering, Data Science) or comparable
Benefits
- Varied working student job with scope for ideas on automation and process improvement.
- Open and motivated team that is open to new ideas and actively involves you from the start.
- Real issues and processes of our controlling.
- Flexible working hours with flextime.
- Option to work partially mobile.