You will analyze and prepare data for demand forecasting, test various models, and create reports to assess their performance, contributing to effective data-driven decision-making.
Anforderungen
- •Studies in Business Informatics or related field
- •First experience with data analysis tools
- •Basic knowledge of machine learning models is a plus
- •Proactive, curious, and analytical person
- •Very good in English
Deine Aufgaben
- •Analyze data sets for demand forecasting.
- •Prepare and clean data for forecasting models.
- •Test and evaluate different demand forecasting models.
- •Create reports and dashboards to compare model performance.
Original Beschreibung
## Job Description
* During your internship, you will analyze data sets (e.g., point-of-sale and pricing data) to assess quality and suitability for demand forecasting.
* You will prepare and clean data for use in forecasting models (using tools such as Python, Excel, SQL).
* You will support us in testing and evaluating different demand forecasting models.
* Last but not least, you will create reports and dashboards to compare model performance using PowerBI.
## Qualifications
* **Education:** studies in the field of Business Informatics, Industrial Engineering, Data Science, or comparable with a focus on data analysis and programming
* **Experience and Knowledge:** first experience with data analysis and visualization tools (e.g., SQL, Power BI, Tableau); programming skills, ideally in Python; basic knowledge of machine learning models or time series forecasting is a plus
* **Personality and Working Practice:** proactive, curious and analytical person, who enjoy working independently and as part of a team
* **Languages:** very good in English
## Additional Information
**Start:** according to prior agreement
**Duration:** 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.