Working Student Data Analytics
Role details
Job location
Tech stack
Job description
- Collect, process, and analyze large and complex data sets.
- Support the development and implementation of data analytics solutions.
- Prepare presentations, reports, and visualizations to effectively communicate data findings to stakeholders.
- Collaborate with other departments to provide data insights that inform decision-making and drive business outcomes.
- Assist with data quality control processes and ensure accuracy and completeness of data.
- Participate in data governance and data management initiatives.
Requirements
We are looking for a working student who wants to be part of a dynamic, digitally addicted, multicultural team to set up a data analytics structure in a live corporate environment. You will actively shape the digital transformation of our business, which has high management attention and dedication., * Advanced bachelor- or early master studies in the field of computer science, data science, statistics, or any equivalent field, who can support us for at least six months, preferrably longer.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Experience in SQL is a must, experience with Python or a similar programming language is nice to have.
- Experience in data visualization tools like PowerBI is a plus.
- An experimental and entrepreneurial mindset and willingness to build things from scratch or optimize ones that already exist.
- Fluent in spoken and written English. German is a plus.
- Excellent communication and teamwork skills.
- Prior internship or work experience in a related field is preferred.
Benefits & conditions
Pulled from the full job description Flexible schedule, * Collaborate with and learn from our data engineers, data scientists, and data architects on projects with real business impact.
- Work on a state-of-the-art cloud data platform using Azure Cloud, Databricks, and PowerBI.
- Build production-grade data pipelines and deploy them.
- Analyze large datasets (>1 TB) of both IoT data and business process data.
If you are passionate about data analytics and driven to make an impact, we invite you to apply and become an integral part of our team. Your contributions will help shape the future of our business in the digital age., * From theory to practice - you gain valuable practical experience and have the chance to expand your professional network
- Above-average vacation entitlement - With us you get vacation according to the collective agreement
- Flexible work location - Depending on the task, you also have the option of working partly from your remote office
- Flexible working hours - With us, you can easily combine your studies with work
- Open corporate culture - We place more value on your personality than on a specific dress code
- Great team - We are on a first-name basis and communicate at eye level across all positions
- Your well-being is important to us - You can expect free hot and cold drinks for an optimal start to the day, a kiosk with rolls, cakes and snacks for the small appetite and varied discounted food in the canteen at noon
- Almost as nice as at home - We offer you bright, modern workplaces and good IT equipment