Junior Data Analytics Engineer | Junior Data Analytics Engineer (m/w/d)
SKOPOS GROUP
Job Summary
Join SKOPOS ELEMENTS, part of the leading SKOPOS GROUP, as a Junior Data Analytics Engineer and help future-oriented companies become truly data-driven. In this role, you will be crucial in leveraging customer data by applying modern statistical procedures and Machine Learning approaches to find correlations, develop automated solutions, and generate forecasts. Your daily tasks will involve supporting data preparation, management, and reporting, alongside building and maintaining robust ETL/ELT pipelines using tools such as Alteryx, KNIME, Airbyte, and dbt for efficient data exchange across systems like Snowflake and PostgreSQL. You will also be responsible for developing target-group-oriented reporting solutions using Tableau or PowerBI. This position requires a relevant degree (e.g., Data Science, Computer Science) and initial professional experience with data models and analysis. Success in this role demands proficiency in SQL, Python, or R, coupled with excellent communication skills in both German and English (C1 level). This is an opportunity for professional growth, offering systematic development programs and a highly flexible, hybrid work environment.
Required Skills
Education
Completed university degree in Business Informatics, Data Science, Psychology, Mathematics, Computer Science, empirical Social Science (e.g., specialization in Data Science / Machine Learning, Statistics, Psychology, Sociology) or a comparable field.
Experience
- Initial experience with data models, databases, and data analysis (gained during studies or side job)
- Professional experience utilizing SQL, Python, or R in projects
- Desirable: Experience with Data Mining Tools (e.g., KNIME, RapidMiner, Alteryx)
- Desirable: Initial experience in Tableau or Power-BI
Languages
Additional
- Solution-oriented approach; Ability to manage and maintain an overview of parallel projects; Willingness to continuously develop and learn.
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