Praktikum Data Analysis & Software-Engineering UX

📍 Job Overview

Job Title: Praktikum Data Analysis & Software-Engineering UX

Company: Bosch Group

Location: Stuttgart, Baden-Württemberg, Germany

Job Type: Internship (Vollzeit)

Category: Data Analysis / Software Engineering / UX

Date Posted: 2026-06-25

Experience Level: 0-2 Years (Internship)

Remote Status: Hybrid (3 office days per week expected)

🚀 Role Summary

• This internship focuses on the practical application of data analysis and software engineering principles within a User Experience (UX) context.

• You will gain hands-on experience in developing and implementing data-driven solutions for digital applications, with a strong emphasis on user feedback analysis.

• The role involves leveraging modern AI tools for process optimization and extracting insights to enhance user experience.

• You will be part of an international, interdisciplinary UX team fostering a creative environment with an open feedback culture.

📝 Enhancement Note: This role is explicitly an internship, indicated by "Praktikum" and the AI-derived employment type "INTERN." The focus on "Data Analysis & Software-Engineering UX" suggests a blend of technical development and user-centric data interpretation, common in GTM operations support for product development and customer insights. The hybrid work model with 3 office days is also a key detail for planning.

📈 Primary Responsibilities

• Support the development of innovative digital solutions for data-driven analysis of user feedback.

• Develop, implement, and maintain tools and systems for collecting and processing user data.

• Prepare acquired data into interactive dashboards to visualize valuable insights.

• Apply modern technologies for analyzing unstructured data and develop AI-based solutions for automated analysis and categorization of free-text feedback.

• Collaborate closely with UX Researchers and Designers to identify and implement technical possibilities for data collection and analysis.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to data infrastructure and analysis, crucial for understanding user behavior and informing product strategy. The emphasis on AI for unstructured data analysis and dashboard creation points towards a need for candidates who can translate raw data into actionable insights for UX improvement.

🎓 Skills & Qualifications

Education: Currently pursuing a degree in Information Design, Media Informatics, Data Science, or a comparable field.

Experience:

• Basic programming skills in Python and JavaScript.

• Foundational knowledge in SQL and version control systems (Git).

• Ideally, prior exposure to cloud-based platforms (e.g., Azure, AWS) and their data analysis services. Required Skills:

• Strong analytical and problem-solving approach.

• High affinity for data and new technologies.

• Independent and structured work ethic.

• Ability to contribute effectively in interdisciplinary teams.

• Enthusiasm for deriving insights from data and creative data presentation.

• Fluent in German and English (written and spoken). Preferred Skills:

• Experience with survey tools (e.g., MS Forms, Qualtrics).

• Familiarity with dashboard creation tools (e.g., Power BI).

• Knowledge of AI prompting techniques.

• Ideally, some experience with cloud platforms like Azure or AWS and their data analysis services.

📝 Enhancement Note: The qualifications emphasize a blend of theoretical knowledge from relevant academic fields and practical technical skills. The "0-2 Years" experience level is typical for internships, focusing on foundational skills and a strong willingness to learn. The requirement for fluent German and English is critical for this role in Germany.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated ability to develop and implement data collection or analysis tools.

• Examples of data visualization or dashboard creation, showcasing insights derived.

• Projects involving basic scripting or programming (Python, JavaScript) for data manipulation.

• Any personal or academic projects showcasing an understanding of user feedback or data analysis principles. Process Documentation:

• While not explicitly required for an internship, candidates should be prepared to discuss their approach to:

  • Data collection and processing workflows.

  • Basic data analysis methodologies.

  • Tool implementation and maintenance.

📝 Enhancement Note: For an internship, a formal "portfolio" might be less about extensive professional projects and more about showcasing academic work, personal coding projects, or contributions to open-source initiatives. The focus is on demonstrating foundational skills and a proactive learning attitude.

💵 Compensation & Benefits

Salary Range: As this is an internship, compensation is typically provided as a monthly stipend. For an internship in Germany (Stuttgart) at a company like Bosch, a stipend ranging from €800 to €1,200 per month is common, depending on the specific department and duration.

Benefits:

• 35-hour work week with flextime.

• Dedicated mentor for guidance throughout the internship.

• Modern workplace environment.

• Mobile working options (Homeoffice 2 days per week possible).

• Opportunity to join the students@bosch Stuttgart network.

• Subsidized company restaurants.

Working Hours: 35 hours per week, with flextime arrangements.

📝 Enhancement Note: The salary range is an estimation based on common internship stipends in Germany for large corporations. The listed benefits are directly extracted from the provided text and highlight attractive aspects for student professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Automotive, Technology, Industrial Technology & Consumer Goods. Bosch Group operates across a diverse range of sectors, with a strong focus on innovation and high-quality technology.

Company Size: Large enterprise (over 100,000 employees globally). This indicates a structured environment with extensive resources and established processes.

Founded: 1886. This long history suggests a stable, established company with a deep-rooted culture and significant market presence.

Team Structure:

• Part of an international and interdisciplinary UX team.

• Likely includes UX Researchers, UX Designers, Software Engineers, and Data Analysts.

• The role involves close collaboration with UX Researchers and Designers.

• Reporting structure is typical for an internship, with a dedicated mentor. Methodology:

• Emphasis on data-driven solutions and user feedback analysis.

• Creative environment with an open feedback culture.

• Application of modern AI tools for process optimization and insight generation.

• Cross-functional collaboration is a key aspect of the team's approach.

Company Website: https://www.bosch.com/

📝 Enhancement Note: Bosch is a globally recognized leader known for its engineering excellence and innovation. The company culture likely values precision, long-term thinking, and continuous improvement, which would extend to its operations and development teams. The internship's placement within an international UX team suggests a global perspective and diverse team dynamics.

📈 Career & Growth Analysis

Operations Career Level: Entry-level (Internship). This role is designed for students to gain foundational practical experience.

Reporting Structure: The intern will report to a designated mentor within the UX team, who will provide guidance and support.

Operations Impact: While an internship, the work directly contributes to improving user experience through data analysis and software development, indirectly impacting product success and customer satisfaction.

Growth Opportunities:

• Direct exposure to real-world data analysis and software engineering challenges in a corporate setting.

• Opportunity to learn and apply modern AI tools and techniques.

• Development of skills in data visualization and dashboard creation.

• Potential for networking within the Bosch student community and the broader company.

• Gain practical experience in a hybrid work environment and interdisciplinary team collaboration.

📝 Enhancement Note: This internship provides a stepping stone for students interested in careers in Data Science, Software Engineering with a UX focus, or broader GTM operations roles that require data interpretation and system understanding. The growth is primarily in skill acquisition and practical application rather than immediate career advancement within the internship period.

🌐 Work Environment

Office Type: Hybrid work environment. The role requires a presence in the office for approximately 3 days a week, with the possibility of remote work for the remaining 2 days, subject to agreement.

Office Location(s): Borsigstraße 4, 70469 Stuttgart, Germany. This is a specific, physical location for in-office work.

Workspace Context:

• A modern workplace environment is provided, suggesting up-to-date facilities and technology.

• Collaboration is facilitated through interdisciplinary team settings, encouraging interaction with researchers and designers.

• Access to necessary tools and technologies for data analysis and software development will be available.

Work Schedule: 35 hours per week with flextime, allowing for some flexibility in daily working hours within the agreed-upon weekly total.

📝 Enhancement Note: The hybrid model is a significant aspect, offering a balance between structured office collaboration and remote flexibility. This setup is common for roles requiring both focused individual work and team interaction.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application: Submit CV, current transcript, enrollment certificate, examination regulations, and work/residence permit (if applicable).

• Screening: Review of application documents for eligibility and alignment with requirements.

• Interview(s): Likely includes one or more interviews, potentially with the hiring manager (Felix Traier) and team members. These interviews will assess technical skills, analytical thinking, problem-solving abilities, and cultural fit.

• Technical/Case Study: A small technical task or case study related to data analysis, basic coding, or problem-solving might be presented to evaluate practical application of skills.

• Final Selection: Decision based on overall assessment of qualifications and potential contribution.

Portfolio Review Tips:

• Showcase Relevant Projects: Highlight academic projects, personal coding exercises, or contributions that demonstrate Python, JavaScript, SQL, and Git skills.

• Data Visualization Examples: If you have created any dashboards or visualizations (even simple ones), be prepared to walk through them and explain the insights derived. Power BI or similar tool experience is a plus.

• Problem-Solving Approach: Be ready to discuss how you would approach analyzing a dataset or solving a specific user feedback challenge.

• AI Prompting: If you have experimented with AI tools, be prepared to discuss your process and how you structured prompts to get desired outputs.

Challenge Preparation:

• Technical Fundamentals: Refresh your knowledge of Python, JavaScript, SQL, and Git basics.

• Data Analysis Concepts: Understand how to approach analyzing user feedback, identifying trends, and drawing conclusions.

• Tool Familiarity: If possible, familiarize yourself with Power BI or similar dashboarding tools, and practice basic AI prompting.

• Behavioral Questions: Prepare to answer questions about teamwork, problem-solving, and your motivation for pursuing this internship.

📝 Enhancement Note: For an internship, the interview process will likely focus more on potential, foundational knowledge, and eagerness to learn than on extensive professional experience. Demonstrating a structured approach to problem-solving and a genuine interest in data and UX will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python, JavaScript (essential), SQL (foundational).

• Version Control: Git (essential).

• Survey Tools: MS Forms, Qualtrics (preferred).

• Dashboarding/BI: Power BI (preferred).

• AI/ML: AI Prompting (preferred), experience with cloud AI services (Azure, AWS) is a plus.

Analytics & Reporting:

• Tools for processing unstructured data.

• Dashboard creation for visualizing insights. CRM & Automation:

• While not explicitly mentioned as CRM, the development of tools for data collection and processing touches upon data management principles.

• Experience with cloud-based platforms (Azure, AWS) and their data analysis services is beneficial.

📝 Enhancement Note: This internship provides exposure to a modern tech stack relevant to data-driven product development and GTM analysis. Proficiency in Python and JavaScript, coupled with an understanding of data visualization and AI, are key technical skills sought.

👥 Team Culture & Values

Operations Values:

• Innovation: Embracing new technologies like AI for process optimization and insight generation.

• Data-Driven Decisions: Using user data and feedback as a core input for improving UX.

• Collaboration: Working effectively in interdisciplinary and international teams.

• Continuous Learning: Staying updated with new technologies and methodologies in data analysis and software engineering.

• User-Centricity: Prioritizing the user experience in all development and analysis efforts.

Collaboration Style:

• Open feedback culture within the UX team.

• Close collaboration between technical roles (Software Engineering, Data Analysis) and UX Researchers/Designers.

• International and interdisciplinary team dynamics encourage diverse perspectives.

📝 Enhancement Note: The emphasis on an "open feedback culture" and "interdisciplinary teams" suggests a dynamic and communicative work environment where diverse opinions are valued and contribute to better outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging the gap between academic knowledge and practical corporate application.

• Working with real-world, potentially messy, user data.

• Developing AI-based solutions for complex unstructured data analysis.

• Adapting to Bosch's specific development processes and tools.

• Balancing office-based collaboration with remote work days. Learning & Development Opportunities:

• Skill Deepening: Enhancing proficiency in Python, JavaScript, SQL, and Git.

• New Technology Exposure: Gaining practical experience with AI tools, cloud platforms (Azure/AWS), and dashboarding software (Power BI).

• Industry Insight: Understanding how data analysis and software engineering contribute to UX and product development in a major technology company.

• Professional Networking: Building connections within Bosch and the student community.

• Process Understanding: Learning about agile development methodologies and corporate project management.

📝 Enhancement Note: This internship is designed to be a significant learning experience, offering exposure to cutting-edge technologies and real-world business challenges that will foster substantial professional growth.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you used Python or JavaScript to analyze data or build a simple application. What were the challenges and how did you overcome them?" (Focus on process, tools, and outcomes).

• "How would you approach analyzing unstructured user feedback to identify common pain points for a new feature?" (Demonstrate analytical thinking and problem-solving).

• "What interests you most about data analysis and software engineering in the context of User Experience?" (Show genuine passion and understanding).

• "How do you stay updated with new technologies like AI, and how might you apply them to improve data analysis processes?" (Highlight curiosity and forward-thinking). Company & Culture Questions:

• "What do you know about Bosch Group and its role in the technology sector?" (Research the company's mission and recent innovations).

• "How do you envision contributing to an international and interdisciplinary team?" (Emphasize teamwork and cross-cultural communication).

• "Describe your preferred working style – how do you balance independent work with team collaboration?" (Align with hybrid and team-based environment). Portfolio Presentation Strategy:

• Concise Explanations: For each project, clearly state the objective, your role, the tools/technologies used, the process, and the results or learnings.

• Technical Depth: Be prepared to discuss the code or technical approach in sufficient detail.

• Data Insights: If showcasing data analysis, focus on the insights you derived and how they could inform decisions.

• Enthusiasm: Convey your passion for learning and contributing to the team's goals.

📝 Enhancement Note: Candidates should prepare to discuss their technical skills with concrete examples and articulate their interest in the specific blend of data analysis, software engineering, and UX. Demonstrating a proactive learning attitude is paramount for an internship role.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on jobs.smartrecruiters.com.

• Tailor your CV: Highlight academic achievements, relevant coursework, programming skills (Python, JavaScript, SQL), and any project experience in data analysis or software development. Use keywords from the job description.

• Prepare your portfolio: Gather examples of coding projects (GitHub is ideal), academic assignments, or personal projects that demonstrate your technical skills and analytical approach.

• Research Bosch: Understand the company's mission, values, and its position in the technology and automotive industries.

• Practice interview questions: Prepare to answer technical, behavioral, and situational questions, focusing on your learning potential and enthusiasm for the role.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.