Praktikum Data Analyst / Software-Engineer UX

📍 Job Overview

Job Title: Praktikum Data Analyst / Software-Engineer UX
Company: Bosch Group
Location: Stuttgart, Baden-Württemberg, Germany
Job Type: Internship (Vollzeit)
Category: Data Analysis & Software Engineering (User Experience Focus)
Date Posted: December 08, 2025
Experience Level: 0-2 years
Remote Status: Hybrid

🚀 Role Summary

• This internship offers a deep dive into the development of data-driven solutions and the analysis of user feedback for digital applications, focusing on enhancing User Experience (UX).
• The role involves hands-on experience with modern AI tools for process optimization and gaining insights into user behavior.
• Interns will contribute to developing, implementing, and maintaining tools for collecting and processing user data, and will be involved in creating interactive dashboards for data visualization.
• The position is within an international and interdisciplinary UX team, fostering a creative environment with an open feedback culture.

📝 Enhancement Note: This role is positioned as an internship, targeting individuals with 0-2 years of experience, likely students seeking practical application of their studies in Data Analysis and Software Engineering, with a strong emphasis on UX and data-driven insights. The "Vollzeit" (full-time) designation indicates a standard work week, while "Hybrid" suggests a mix of on-site and remote work is possible.

📈 Primary Responsibilities

• Support the development of innovative digital solutions for data-driven analysis of user feedback.
• Develop, implement, and maintain tools and systems for the collection and processing of user data.
• Prepare collected data into interactive dashboards to visualize valuable insights.
• Apply modern technologies for analyzing unstructured data, including developing AI-based solutions for automated analysis and categorization of free-text comments and 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 blend of software development, data analysis, and UX integration. The emphasis on AI for feedback analysis and interactive dashboards suggests a forward-thinking approach to understanding user sentiment and driving product improvements.

🎓 Skills & Qualifications

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

• Foundational programming skills in Python and Java Script.
• Initial experience with SQL and version control systems (Git).
• Familiarity with tools for creating surveys (e.g., MS Forms, Qualtrics) and dashboards (e.g., Power BI) is desirable.
• Exposure to cloud-based platforms (e.g., Azure, AWS) and their data analysis services is a plus.

Required Skills:

• Strong analytical and problem-solving abilities.
• Proactive and solution-oriented mindset.
• High affinity for data and new technologies.
• Independent and structured work approach.
• Ability to contribute effectively in interdisciplinary teams.
• Enthusiasm for deriving insights from data and creative data presentation.

Preferred Skills:

• Experience with prompt engineering for AI tools.
• Familiarity with cloud data analysis services.
• Experience in UX research or design support.

📝 Enhancement Note: The qualifications emphasize a combination of technical skills (programming, SQL, Git) and soft skills (analytical thinking, proactivity, teamwork), crucial for a collaborative UX and data analysis environment. The mention of specific tools like Power BI and survey platforms indicates a practical, hands-on approach.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase projects demonstrating the development and implementation of data collection or analysis tools.
• Include examples of creating interactive dashboards or visualizations that translate complex data into actionable insights.
• Present any work involving the analysis of unstructured text data or the application of AI/ML for data processing.
• Highlight contributions to projects that improved user experience through data-driven recommendations.

Process Documentation:

• Document the workflow for data collection, processing, and analysis in any presented projects.
• Detail the methodologies used for implementing AI-based solutions or optimizing existing data processes.
• Explain how insights from data were translated into tangible improvements for digital products or user journeys.

📝 Enhancement Note: While not explicitly stated, a portfolio demonstrating practical application of data analysis, software development, and an understanding of UX principles will be highly advantageous for this internship position. Focus on projects showcasing data visualization and AI application.

💵 Compensation & Benefits

Salary Range: As this is an internship position, compensation will likely align with German internship standards, which are typically paid but vary based on industry, duration, and specific company policies. For a full-time internship in Stuttgart, an estimated range could be €800 - €1,500 per month, subject to current market rates and the intern's academic year.

Benefits:

• 35-hour work week with flexible working time (Gleitzeit).
• Dedicated point of contact for guidance throughout the internship.
• Modern workplace environment.
• Possibility of mobile working (remote work) upon agreement.
• Access to the students@bosch Stuttgart network.
• Discounts in company restaurants.

Working Hours: 35 hours per week, with flexible working hours (Gleitzeit).

📝 Enhancement Note: The salary estimation is based on general knowledge of German internship compensation. Specific details should be confirmed with Bosch Group. The benefits provided are standard for internships and include elements that support work-life balance and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Automotive, Industrial Technology, Consumer Goods (Diversified technology and services group)
Company Size: Large (Bosch Group is a global conglomerate with hundreds of thousands of employees worldwide).
Founded: 1886 (Robert Bosch GmbH).

Team Structure:

• The role is within Bosch Digital, a division focused on digital transformation.
• The intern will join an international and interdisciplinary UX team.
• Collaboration is expected with UX researchers and designers.

Methodology:

• Agile thinking and working culture are emphasized within Bosch Digital.
• Data-driven solutions and analysis are central to the role.
• An open feedback culture is promoted within the team.

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

📝 Enhancement Note: Bosch is a well-established global leader with a strong reputation for innovation and quality. Bosch Digital represents their commitment to embracing digital transformation, suggesting a dynamic and forward-looking work environment. The UX team's international and interdisciplinary nature implies a diverse and collaborative setting.

📈 Career & Growth Analysis

Operations Career Level: Internship (Entry-level, focused on learning and skill development).
Reporting Structure: The intern will report to a dedicated point of contact within the UX team, likely a UX Lead, Senior UX Designer, or a Data Scientist/Analyst who oversees internships.
Operations Impact: While an intern, the impact will be on specific project contributions, such as improving data analysis processes, enhancing feedback collection tools, and contributing to UX insights that inform product development. This provides foundational experience in how operations and data analysis influence business decisions.

Growth Opportunities:

• Gain practical experience in data analysis, software development (Python, JS), and UX research.
• Learn to work with modern AI tools and cloud platforms.
• Develop skills in data visualization and dashboard creation (Power BI).
• Benefit from mentorship and exposure to an international, interdisciplinary team.
• Potential to build a network within the "students@bosch Stuttgart" community.

📝 Enhancement Note: This internship is designed as a stepping stone for students interested in careers in Data Analysis, Software Engineering, or UX. The exposure to AI and cloud technologies, along with practical experience in a large, innovative company like Bosch, offers significant career development potential.

🌐 Work Environment

Office Type: Hybrid work arrangement is available, indicating a mix of on-site and remote work.
Office Location(s): Borsigstraße 4, 70469 Stuttgart, Germany.

Workspace Context:

• Access to modern workplace environments.
• Opportunities for mobile working, suggesting flexibility.
• Collaboration within an international and interdisciplinary UX team.
• Potential for networking with other students through the "students@bosch Stuttgart" program.

Work Schedule: 35 hours per week with flexible working hours (Gleitzeit), allowing for a structured yet adaptable schedule conducive to academic commitments and project work.

📝 Enhancement Note: The hybrid model and flexible hours suggest a modern approach to work, balancing productivity with employee well-being and flexibility, which is increasingly important for attracting talent in technical fields.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application documents (CV, transcripts, enrollment certificate, etc.).
• Technical Assessment (Potential): May involve a coding challenge or a discussion of technical skills (Python, SQL, Git, AI prompting).
• Behavioral/Situational Interview: Discussion of analytical thinking, problem-solving approach, teamwork, and motivation.
• Team/Hiring Manager Interview: Focus on cultural fit within the UX team, understanding of UX principles, and enthusiasm for data-driven insights.
• Portfolio Presentation (Optional but Recommended): Candidates may be asked to present relevant projects from their studies or personal work.

Portfolio Review Tips:

• Highlight Data & UX Synergy: Showcase projects where data analysis directly informed UX improvements or where you developed tools to gather user insights.
• Demonstrate Technical Proficiency: Clearly present your code (e.g., on GitHub), explain your approach to data processing and analysis, and illustrate your dashboard creation skills.
• Explain Your Process: For each project, describe the problem, your methodology (including any AI/ML applications), the tools used, and the outcomes or insights gained.
• Quantify Impact: Where possible, use metrics to demonstrate the impact of your work, such as improved data accuracy, efficiency gains, or user satisfaction insights.
• Tailor to Bosch: Research Bosch's digital products and UX philosophy to align your portfolio examples with their known priorities.

Challenge Preparation:

• Be prepared to discuss your approach to analyzing unstructured text data and your experience with AI prompting.
• Practice explaining technical concepts (like SQL queries, Git workflows, or AI model applications) in a clear and concise manner.
• Prepare examples of how you've worked collaboratively in team settings, especially in interdisciplinary groups.

📝 Enhancement Note: For an internship, the focus will be on potential and learning ability. Demonstrating a strong foundation, eagerness to learn, and alignment with the team's collaborative and data-driven culture will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python, Java Script.
• Database Querying: SQL.
• Version Control: Git.
• Survey Tools: MS Forms, Qualtrics (or similar).
• Dashboarding/BI: Power BI (or similar).

Analytics & Reporting:

• Data analysis techniques for structured and unstructured data.
• AI/ML for automated analysis and categorization.
• Data visualization for creating interactive dashboards.

CRM & Automation:

• Cloud Platforms: Azure, AWS (familiarity with their data analysis services is a plus).
• Potential use of internal Bosch digital platforms and tools.

📝 Enhancement Note: Proficiency in Python and SQL is crucial for data analysis and backend development. Experience with BI tools like Power BI and familiarity with cloud platforms like Azure/AWS will be highly valued, indicating readiness to work with modern data infrastructure.

👥 Team Culture & Values

Operations Values:

• Innovation: Driving digital transformation through new technologies and creative solutions.
• Data-Driven Decision Making: Utilizing data analysis to inform strategies and product development.
• Collaboration: Working effectively in interdisciplinary and international teams.
• User-Centricity: Focusing on improving user experience through understanding user data.
• Continuous Learning: Embracing new technologies, including AI, and fostering an open feedback culture.

Collaboration Style:

• Interdisciplinary teamwork is central, requiring strong communication with UX researchers and designers.
• An open feedback culture encourages constructive dialogue and idea sharing.
• A proactive and team-oriented approach is expected.

📝 Enhancement Note: Bosch Digital's culture emphasizes agility, innovation, and collaboration. The UX team's environment likely encourages cross-functional interaction and a shared commitment to leveraging data for user-centric product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Adapting to a large corporate environment and its specific processes.
• Analyzing and deriving meaningful insights from potentially large and diverse datasets, including unstructured feedback.
• Integrating AI tools effectively into existing workflows and collaborating with UX professionals who may have different technical backgrounds.
• Managing multiple tasks and projects within a dynamic team setting.

Learning & Development Opportunities:

• Deepen expertise in data analysis, Python, and SQL.
• Gain practical experience with AI technologies and cloud data services.
• Develop skills in UX research support and data visualization.
• Learn agile methodologies and work within a global company structure.
• Networking opportunities within Bosch and the student community.

📝 Enhancement Note: This internship is designed to expose interns to real-world challenges in digital product development, data analysis, and UX, providing a strong foundation for future growth in these fields.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you used data to understand user behavior or improve an experience." (Focus on your role, tools, and outcomes).
• "How would you approach analyzing a large dataset of customer feedback comments to identify key themes?" (Discuss methodologies, potential AI applications, and challenges).
• "What are your preferred tools for data visualization, and why?" (Be ready to discuss Power BI or similar, focusing on insights and presentation).
• "Explain your experience with Python/SQL/Git. Provide an example of how you've used them in a project." (Be specific about the application and impact).

Company & Culture Questions:

• "Why are you interested in an internship at Bosch Digital, specifically in this UX/Data Analyst role?" (Research Bosch's digital initiatives and values).
• "How do you approach working in an interdisciplinary team with individuals from different backgrounds (e.g., design vs. engineering)?" (Highlight communication and collaboration skills).
• "What interests you about AI technologies in the context of user experience?" (Show enthusiasm for innovation and practical application).

Portfolio Presentation Strategy:

• Structure: Clearly outline each project: problem, your contribution, methodology, tools used, results/insights, and lessons learned.
• Visuals: Use screenshots, charts, and demo links to illustrate your work, especially dashboards and data visualizations.
• Conciseness: Focus on the most relevant projects that demonstrate your skills in data analysis, software development, and UX support.
• Enthusiasm: Convey your passion for data, technology, and improving user experiences.

📝 Enhancement Note: Emphasize your learning potential, proactive attitude, and ability to apply technical skills in a practical, collaborative setting. For internships, demonstrating a strong foundation and eagerness to contribute and learn is often more critical than extensive prior experience.

📌 Application Steps

To apply for this internship position:

• Submit your application through the provided link on SmartRecruiters, ensuring all required documents (CV, current transcript, enrollment certificate, examination regulations, and work/residence permit if applicable) are attached.
• Resume Optimization: Tailor your resume to highlight relevant coursework, projects (academic or personal) involving data analysis, programming (Python, JS, SQL), Git, and any experience with UX research or design tools. Quantify achievements where possible.
• Portfolio Preparation: If you have a portfolio, ensure it showcases projects related to data analysis, dashboard creation (e.g., Power BI), AI applications, or software development that supports user feedback analysis. Prepare a concise overview of each project.
• Interview Practice: Prepare for potential technical questions regarding your programming skills, data analysis approach, and familiarity with AI tools. Practice answering behavioral questions related to teamwork, problem-solving, and motivation.
• Company Research: Familiarize yourself with Bosch Group, Bosch Digital, and their approach to digital transformation and user experience. Understand their values and culture to articulate your fit.

⚠️ 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.