Working Student (Werkstudent): Data Analytics – Flexible Hours

Über das Unternehmen

AVL List GmbH is the world’s largest independent company for the development, simulation, and testing of powertrain systems (hybrid, combustion engines, electric drives, batteries, fuel cells) and leading instrumentation and test systems. With a global presence and a commitment to pioneering innovation, AVL helps shape the future of mobility. Join our dynamic team in Graz and contribute to cutting-edge projects that make a real impact.

Stellenbeschreibung

Are you an enthusiastic student eager to dive into the world of data analytics? AVL List GmbH offers an exciting opportunity for a Working Student (Werkstudent) to join our innovative team in Graz. This part-time position provides flexible hours, allowing you to balance your studies with gaining valuable hands-on experience in data collection, analysis, and visualization. You will support our data scientists and engineers in various projects, contributing to insights that drive decision-making in the automotive technology sector. This is an ideal role for someone looking to apply their theoretical knowledge in a practical, industry-leading environment.

Hauptverantwortlichkeiten

• Assist in collecting, cleaning, and preparing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain data dashboards and reports using visualization tools.
• Support data scientists and engineers in creating and optimizing data models.
• Document data processes, methodologies, and findings clearly and concisely.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Contribute to the continuous improvement of data quality and integrity.

Erforderliche Fähigkeiten

• Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
• Proficiency in SQL for data querying and manipulation.
• Strong command of Python or R for data analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Solid understanding of statistical concepts and methods.
• Excellent analytical and problem-solving skills.
• Strong communication skills and ability to work effectively in a team.

Bevorzugte Qualifikationen

• Prior experience with large-scale datasets or data warehousing.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Basic understanding of machine learning concepts and algorithms.
• Proficiency in German language (B2 level or higher).

Vorteile & Zusatzleistungen

• Flexible working hours to accommodate your studies.
• Opportunity to gain hands-on experience in a leading global company.
• Mentorship and professional development opportunities.
• Exposure to cutting-edge automotive technology and data analytics projects.
• Modern office environment with state-of-the-art tools.
• Networking opportunities with industry experts.
• Student-friendly company culture and benefits.

Jetzt bewerben