Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Munich
- Working Model
- Onsite
Job Summary
You analyze large datasets using Python and SQL, optimize dashboards in Tableau, evaluate AI features, and automate data connections to gain insights for product decisions.
Job Technologies
Your role in the team
- As a working student (m/f/d) Data Analyst, you actively contribute to the data-driven further development of our internet comparison, gain relevant insights, and measurably improve the customer experience.
- Data Analysis & Insights: You analyze large datasets together with the Data Science and Business Intelligence teams using Python and SQL, identify relevant patterns, and derive concrete actionable recommendations for product-related questions.
- Dashboard Optimization: You analyze and optimize our Business Intelligence tool Tableau and further develop existing dashboards with a focus on data-driven management and transparency.
- AI Feature Evaluation: You test new AI-based features before the go-live and assess their performance in the product context.
- Data Sources & Automation: You will handle the integration of new API data sources into our systems and develop automated analyses as well as additional analytics features based on this.
- Data preparation: Transformation, validation, and structured processing of raw data for analyses, reporting, and operational inquiries are part of your responsibilities.
- ETL/ELT Processes: You will actively participate in the development and enhancement of our ETL and ELT processes, supporting the efficient and reliable provision of data flows.
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Our expectations of you
Education
- Studies: You are a registered student (m/f/d) with a focus on economics, natural sciences, or information technology, for example in Data Engineering, (Business) Informatics, Mathematics, or Physics.
Qualifications
- SQL skills: You confidently use your SQL knowledge for independent queries and data analysis.
- Analytical understanding: You possess a strong grasp of data-driven contexts and a structured approach.
- Technical fundamentals: Knowledge of data structures and algorithms is part of your profile.
- Working style: You work independently, take responsibility for your tasks, and coordinate closely with colleagues from product and development.
- Language skills: Negotiation-level proficiency in German and English (C1/C2 level) in spoken and written form complete your profile.
Experience
- Initial practical experience: Ideally, you have already gained experience in handling large data sets and Business Intelligence tools.
- Python Experience: You have practical experience in data preparation and scripting with Python, for example with pandas.
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What we offer
- Ownership of your topics - bring your own ideas, try new things, and take responsibility for real impact.
- Optimal preparation for your professional life – by gaining relevant practical experience and receiving regular feedback, you lay the foundation for your career.
- We live team spirit in everyday work life and beyond – whether it's during a shared lunch, playing table soccer, or after-work gatherings.
- At our company, you can perfectly combine work and studies—with flexible working hours and our centrally located office at Donnersbergerbrücke.
- You can feel comfortable with us - regular office lunches as well as free drinks, muesli, and fruit at any time are standard for us.
- The perfect balance to your workday is offered by the subsidized external sports program (including EGYM Wellpass).
- An inspiring environment - our modern office offers high-quality equipment such as MacBooks and height-adjustable desks.
- Use of top technologies - Utilize daily AI tools such as Cursor, ChatGPT Enterprise, and many more.
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Benefits
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This is your employer
CHECK24 Gruppe
CHECK24 is one of Germany's leading online companies and the country's largest comparison portal. And we're growing - with you. If you want to move something, you've come to the right place. Experience the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(3 Reviews)4.1
Engineering
3.8Workingconditions
4.2Career Growth
4.3Culture
4.2
Werkstudent Data Analyst
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
