PreMaster (m/w/d) im Bereich Product Strategy, Data Analysis & Reporting

📍 Job Overview

Job Title: PreMaster (m/w/d) im Bereich Product Strategy, Data Analysis & Reporting

Company: SYNTEGON

Location: Crailsheim, Baden-Württemberg, Germany

Job Type: Full-time

Category: Product Strategy & Operations, Data Analytics & Business Intelligence

Date Posted: 2026-06-02

Experience Level: Entry-Level (0-2 years post-Bachelor)

Remote Status: Hybrid

🚀 Role Summary

• This PreMaster role is designed for ambitious Bachelor's graduates seeking to gain practical experience in Product Strategy, Data Analysis, and Business Intelligence before pursuing a Master's degree.

• You will be instrumental in developing and implementing data-driven insights to inform product strategy and optimize business processes within the pharmaceutical, biotech, and food industries.

• The position offers a unique blend of hands-on experience in data analysis, dashboard development, and strategic initiative contribution, laying a strong foundation for future operations and product management careers.

• Success in this role requires a strong analytical mindset, proficiency in data visualization tools, and a proactive approach to process improvement and cross-functional collaboration.

📝 Enhancement Note: The "PreMaster" designation indicates this is an entry-level position specifically structured to provide professional experience between a Bachelor's and Master's degree. The focus on "Product Strategy, Data Analysis & Reporting" clearly places this role within the broader domain of GTM Operations and Business Intelligence, emphasizing data-driven decision-making for strategic product initiatives. The hybrid work arrangement suggests a balance between in-office collaboration and remote flexibility.

📈 Primary Responsibilities

• Develop, implement, and manage interactive dashboards and reports using Power BI to visualize key performance indicators (KPIs) and operational data.

• Conduct comprehensive data analysis to identify trends, patterns, and optimization potentials within product strategy and service processes.

• Actively contribute to strategic initiatives within Business Intelligence, providing data-backed recommendations for product development and market positioning.

• Prepare insightful presentations and detailed reports for stakeholders, effectively communicating complex data findings and strategic implications.

• Collaborate closely with various departments, including Product Management, Sales, and Operations, to gather requirements, align on data needs, and drive service process improvements.

• Support the Product Strategy team in market research, competitive analysis, and the definition of product roadmaps based on data-driven insights.

• Assist in the definition and tracking of key metrics for product performance, customer satisfaction, and operational efficiency.

• Participate in cross-functional project teams to implement new data analytics solutions and improve existing reporting frameworks.

📝 Enhancement Note: The responsibilities highlight a strong focus on actionable data insights for strategic decision-making, a core tenet of GTM Operations. The emphasis on dashboard development and data analysis points towards a Business Intelligence function supporting product strategy. Collaboration with diverse departments underscores the cross-functional nature of operations roles.

🎓 Skills & Qualifications

Education:

Experience:

• 0-2 years of professional experience post-Bachelor's degree, ideally with internships or project work in data analysis, business intelligence, product management, or strategic consulting.

Required Skills:

• Data Visualization & BI Tools: Profound knowledge and hands-on experience with Power BI is essential for developing interactive dashboards and reports.

• Data Analysis: Strong analytical skills to interpret complex datasets, identify trends, and derive actionable insights for strategic decision-making.

• Microsoft Office Suite: Advanced proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUP, advanced formulas) and Microsoft PowerPoint (for presentation creation) is mandatory.

• Process Orientation: Ability to understand, document, and optimize business processes, with a focus on how data can drive efficiency.

• Problem-Solving: Excellent analytical and creative problem-solving abilities to tackle complex business challenges with data-driven solutions.

• Communication & Teamwork: Superior communication skills (written and verbal) and strong interpersonal abilities to collaborate effectively with diverse teams and stakeholders.

• Language Proficiency: Fluent German and English language skills (written and spoken) are required for effective communication within the international organization.

Preferred Skills:

• Familiarity with other BI tools or data visualization platforms (e.g., Tableau, QlikView).

• Basic understanding of CRM systems (e.g., Salesforce) and their role in data capture.

• Exposure to agile methodologies and project management principles.

• Knowledge of statistical analysis techniques.

📝 Enhancement Note: The requirement for a Bachelor's degree in specific fields like "Strategy & Business Intelligence" or "Data Science" strongly signals the operational and analytical focus of this role, aligning with GTM and Revenue Operations. The emphasis on Power BI, Excel, and PowerPoint are standard tools for operations professionals involved in reporting and analysis. The "0-2 years" experience level is typical for graduate programs or early-career roles in operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Dashboard and Report Examples: Showcase a minimum of 2-3 complex dashboards or reports created using Power BI, demonstrating your ability to translate data into actionable insights. These should clearly highlight the business problem addressed, the data sources used, the analytical approach, and the impact/outcomes.

• Data Analysis Case Studies: Include 1-2 detailed case studies from academic projects or internships that illustrate your analytical process, problem-solving methodology, and the quantitative results achieved. Focus on demonstrating how your analysis led to a specific recommendation or optimization.

• Process Improvement Documentation: If applicable, present documentation or a brief overview of a process you analyzed and proposed improvements for, emphasizing how data informed your recommendations.

• Presentation Materials: Include a sample presentation (e.g., from PowerPoint) that effectively communicates data insights to a non-technical audience, showcasing your storytelling and visualization skills.

Process Documentation:

• Workflow Design: Demonstrate understanding of how to map and document business workflows relevant to product strategy, sales enablement, or customer service, showing how data points can be integrated at various stages.

• Data Integration & Analysis: Provide examples of how you have worked with different data sources, ensuring data integrity and preparing data for analysis and visualization.

• Performance Measurement Frameworks: Show an understanding of how to define and track KPIs relevant to product performance, operational efficiency, or strategic initiative success.

📝 Enhancement Note: For an operations-focused role like this, particularly at an entry-level with a graduate program structure, a portfolio is crucial. The emphasis on Power BI, data analysis case studies, and process improvement documentation directly aligns with the core competencies expected of operations professionals in GTM and BI roles. Demonstrating the ability to translate data into business impact is key.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Structured Development Program: The PreMaster program offers a 12-month paid practical phase, providing valuable industry experience and mentorship.

• Career Progression: The program is designed to prepare candidates for a subsequent Master's degree, with ongoing support and networking opportunities.

• Flexible Working: Enjoy flexible working hours with a 35-hour work week and the possibility of mobile working, subject to agreement with your manager.

• Continuous Learning: Access to a digital training platform "KEY" and LinkedIn Learning for ongoing professional development.

• Networking: Participate in an active student network at the Crailsheim site with diverse joint activities and interdisciplinary workshops through the Student Academy.

• On-site Amenities: Subsidized canteen meals, comprehensive health management (adjustable desks, company doctor, employee counseling, health lectures, gym partnerships, free Gymondo subscription).

Working Hours:

• Full-time employment with a 35-hour work week, operating on a flextime system, allowing for flexible scheduling within operational needs.

📝 Enhancement Note: The salary estimation is based on typical graduate program compensation in Germany for roles requiring a Bachelor's and leading into a Master's, adjusted for the specific region and industry. The benefits list is directly extracted from the job description, highlighting the structured development path which is a key appeal of such programs.

🎯 Team & Company Context

🏢 Company Culture

Industry: Pharmaceutical & Food Processing Technology. Syntegon is a strategic lifecycle partner, providing solutions for filling, processing, and packaging in the pharmaceutical, biotech, and food industries. This context means a strong emphasis on quality, precision, regulatory compliance, and innovation.

Company Size: Approximately 6,900 employees worldwide, with around 1,400 employees at the Crailsheim site. This medium-to-large size offers stability and resources while potentially maintaining a sense of community.

Founded: Syntegon Technology was established in 2020 as a spin-off from Bosch Packaging Technology. This relatively new independent identity suggests a dynamic environment with opportunities to shape processes and culture.

Team Structure:

• The role is within the Product Strategy, Data Analysis & Reporting function, likely part of a broader Product Management or Business Intelligence department.

• You will report to a Team Lead or Manager responsible for Product Strategy and Business Intelligence.

Methodology:

• Data-Driven Decision Making: The core of this role is leveraging data analysis to inform strategic decisions, optimize processes, and improve product outcomes.

• Agile & Collaborative Approach: Given the "PreMaster" program context and the nature of product strategy, expect a dynamic, collaborative environment that encourages continuous learning and adaptation.

• Process Optimization: A strong focus on understanding and improving existing workflows to enhance efficiency and effectiveness.

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

📝 Enhancement Note: The company's industry (Pharma/Food Tech) implies a need for rigor, accuracy, and compliance in all operations. The company's relatively recent establishment as an independent entity can suggest a modern, forward-thinking approach to its operations and strategy. The "Du" (informal "you") culture mentioned in the job description indicates a more direct and approachable communication style.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level "PreMaster" position, specifically designed for recent Bachelor's graduates. It serves as a bridge between academic study and a Master's degree, offering foundational experience in critical operations support functions like data analysis and product strategy.

Reporting Structure: You will report to a manager within the Product Strategy or Business Intelligence domain. This structure provides direct guidance and mentorship, crucial for early-career professionals. You will also work closely with senior team members and potentially cross-functional leads.

Operations Impact: Your contributions will directly influence product strategy by providing essential data analysis and reporting. This impact helps the company make informed decisions regarding product development, market entry, and process optimization, ultimately contributing to business growth and efficiency within the highly competitive pharmaceutical and food tech sectors.

Growth Opportunities:

• Structured Graduate Program: The PreMaster program itself is a significant growth opportunity, offering a clear path from Bachelor's to Master's with practical experience.

• Skill Development: Gain hands-on expertise in Power BI, data analysis techniques, product strategy frameworks, and cross-functional collaboration.

• Industry Exposure: Deepen understanding of the complex pharmaceutical, biotech, and food industries, which are critical sectors for global health and consumer goods.

• Mentorship: Benefit from professional mentorship and participation in a student network, fostering personal and professional growth.

• Future Master's Program: Successful completion of the practical phase opens the door to a supported Master's degree, often with continued integration into Syntegon's strategic initiatives.

📝 Enhancement Note: The "PreMaster" program is a key differentiator, offering a structured career development path that is highly attractive for operations professionals looking to formalize their education while gaining practical experience. The growth opportunities are clearly defined and focused on both technical skill acquisition and academic progression.

🌐 Work Environment

Office Type: Hybrid work environment. This indicates a blend of in-office collaboration and remote work flexibility.

Office Location(s): Blaufelder Straße 45, 74564 Crailsheim, Germany. This is the largest site for Syntegon Technology GmbH, suggesting a well-resourced and active workplace.

Workspace Context:

• Collaborative Focus: The hybrid model and emphasis on cross-functional collaboration suggest an environment where teamwork and idea-sharing are encouraged.

• Technology Rich: As a technology company, expect access to modern IT infrastructure, including the necessary tools for data analysis and reporting (e.g., powerful workstations, relevant software licenses).

• Student Community: The presence of a dedicated student network and academy indicates a supportive environment for early-career professionals, with opportunities for interaction and peer learning.

Work Schedule: Full-time, 35 hours per week, with flexible working hours (flextime) and mobile working options. This provides a good work-life balance and allows for personal scheduling needs within the operational framework.

📝 Enhancement Note: The hybrid nature of the role, combined with flextime and mobile working options, aligns with modern workplace expectations and suggests a company culture that values employee autonomy and work-life integration, balanced with the needs of a collaborative operations environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a brief call with HR (Clara Zumpfe) to assess basic qualifications, motivation, and cultural fit, including understanding the PreMaster program's dual purpose.

• Technical Interview: A more in-depth discussion with the hiring manager (Luis Melzer) focusing on your technical skills in Power BI, data analysis, Excel, and PowerPoint. Expect scenario-based questions related to data interpretation and problem-solving.

• Portfolio Presentation: You will be asked to present your portfolio, showcasing your Power BI dashboards, data analysis case studies, and any process improvement documentation. Be prepared to explain your methodology, the business context, and the impact of your work.

• Team/Cross-Functional Interview: An opportunity to meet potential team members or representatives from departments you'll collaborate with. This assesses your teamwork, communication skills, and ability to integrate into the company culture.

• Final Interview & Offer: A concluding discussion, potentially with senior management, to finalize the offer and confirm program details.

Portfolio Review Tips:

• Focus on Impact: For each portfolio item, clearly articulate the business problem, your analytical approach, the tools used (especially Power BI), and the tangible results or insights generated. Quantify impact whenever possible (e.g., "identified a 15% optimization potential," "supported a decision that led to X outcome").

• Showcase Power BI Skills: Demonstrate a range of Power BI capabilities, from data modeling and transformation to creating interactive visualizations and user-friendly dashboards.

• Tell a Story: Structure your case studies and project explanations as narratives. Explain the "why," "how," and "what" of your work.

• Tailor to Syntegon: Briefly research Syntegon's products and market. If possible, relate your portfolio examples to concepts relevant to their industry (e.g., process efficiency, product lifecycle, data for quality control).

• Prepare for Questions: Anticipate questions about your decision-making process, challenges encountered, and how you would approach similar problems at Syntegon.

Challenge Preparation:

• Data Interpretation Exercise: Be ready for a short exercise where you might be given a dataset or a dashboard and asked to interpret it, identify key findings, or suggest next steps.

• Problem-Solving Scenarios: Prepare for questions like "How would you approach analyzing X problem?" or "What KPIs would you track for Y initiative?"

• Process Mapping: You may be asked to sketch out a process flow or discuss how you would improve an existing one using data.

📝 Enhancement Note: The interview process description emphasizes a practical, skills-based evaluation, with a strong focus on the portfolio. This is typical for roles requiring demonstrable technical and analytical capabilities in operations. The preparation tips are designed to help candidates effectively showcase their relevant skills and align their experience with Syntegon's needs.

🛠 Tools & Technology Stack

Primary Tools:

• Power BI: This is the core tool for data analysis and visualization. Expect to use it extensively for creating dashboards, reports, and performing ad-hoc analysis. Proficiency is non-negotiable.

• Microsoft Excel: Essential for data manipulation, advanced calculations, and preparing datasets before importing into Power BI. Proficiency with functions, pivot tables, and data modeling is expected.

• Microsoft PowerPoint: Crucial for creating compelling presentations of your findings and strategic recommendations to stakeholders.

Analytics & Reporting:

• Business Intelligence Platforms: Beyond Power BI, familiarity with general BI concepts and potentially other platforms is beneficial.

• Data Warehousing Concepts: Basic understanding of how data is stored and accessed in a data warehouse environment would be advantageous.

• Reporting Frameworks: Experience in designing and maintaining reporting structures for various business needs.

CRM & Automation:

• CRM Systems (e.g., Salesforce): While not explicitly stated as a primary tool, understanding CRM data structure and its importance for sales and product insights is valuable for GTM operations.

• Data Integration Tools: Awareness of how data flows between different systems (e.g., ERP, CRM, BI tools) is beneficial.

📝 Enhancement Note: The explicit mention of Power BI, Excel, and PowerPoint signifies the critical technical stack for this role. Understanding how these tools integrate with broader CRM and data warehousing concepts is key for operations professionals aiming to excel in data-driven roles.

👥 Team Culture & Values

Operations Values:

• Data-Driven & Analytical: A strong emphasis on using data to inform decisions, measure performance, and drive continuous improvement across all operations.

• Customer-Centric: Understanding and serving the needs of internal (e.g., Sales, Product Management) and external customers (Pharma/Food industry clients) through efficient processes and insightful reporting.

• Innovation & Efficiency: A drive to find new ways to optimize processes, leverage technology (like Power BI), and deliver value quickly and effectively.

• Collaboration & Teamwork: A culture that values open communication, mutual support, and collective problem-solving across departments.

• Integrity & Quality: Particularly important in the pharmaceutical and food industries, a commitment to accuracy, reliability, and high standards in all work.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with individuals from diverse backgrounds and departments, requiring strong interpersonal skills and the ability to translate technical data into business language.

• Feedback-Driven: An environment that encourages constructive feedback to foster continuous improvement in both individual performance and team processes.

• Proactive Communication: A culture where proactive sharing of information, insights, and potential challenges is valued to ensure alignment and smooth operations.

📝 Enhancement Note: Highlighting Syntegon's values in the context of operations roles helps candidates understand how their work contributes to the company's mission and how they are expected to behave and collaborate within the organization, particularly in a data-intensive and cross-functional environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Data Environments: Working with data from various sources within a large organization can present challenges in data consistency, accessibility, and integration. Developing strong data governance and cleaning skills will be key.

• Translating Data into Actionable Strategy: Moving beyond reporting to providing insights that directly influence product strategy requires a deep understanding of the business and effective communication to stakeholders.

• Balancing Multiple Stakeholder Needs: Collaborating with different departments means managing diverse requirements and priorities, necessitating strong negotiation and prioritization skills.

• Keeping Pace with Technology: The BI and data analytics landscape is constantly evolving. Continuous learning to stay updated with new features in Power BI and emerging analytics techniques will be crucial.

Learning & Development Opportunities:

• Formal Master's Program: The primary growth opportunity is the supported Master's degree, enabling advanced academic and theoretical learning.

• Hands-on Tool Mastery: Deepen your expertise in Power BI and other analytical tools through daily application and potentially advanced training.

• Industry Insight: Gain invaluable knowledge of the pharmaceutical, biotech, and food processing industries, understanding their unique operational and strategic challenges.

• Mentorship and Networking: Benefit from guidance from experienced professionals and build a professional network that can support your long-term career.

• Exposure to Strategic Initiatives: Contribute to high-impact projects that shape Syntegon's product strategy and business intelligence capabilities.

📝 Enhancement Note: Identifying potential challenges proactively allows candidates to prepare for them and demonstrates a realistic understanding of the role. The growth opportunities are framed to emphasize both the immediate PreMaster experience and the long-term career trajectory towards a Master's degree and beyond.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data to identify an opportunity for improvement. What was your process, and what was the outcome?" (Focus on your analytical steps, tools used, and impact.)

• "How would you approach building a dashboard for [specific business scenario, e.g., tracking new product adoption]?" (Assess your understanding of data requirements, visualization choices, and user needs.)

• "Imagine you've found conflicting data from two sources. How would you investigate and resolve this discrepancy?" (Tests your data integrity and problem-solving skills.)

Company & Culture Questions:

• "What do you know about Syntegon and our industry?" (Research their products, mission, and recent news.)

• "Why are you interested in the PreMaster program, and what are your long-term career goals?" (Align your aspirations with the program's structure and Syntegon's opportunities.)

• "How do you handle working in a team with diverse perspectives and backgrounds?" (Demonstrate your collaboration and communication skills.)

Portfolio Presentation Strategy:

• Structure: For each portfolio item, follow a clear structure: Problem/Objective -> Data Sources -> Methodology/Tools -> Analysis/Insights -> Recommendations/Impact.

• Visuals: Ensure your Power BI dashboards are clean, intuitive, and visually appealing. Practice navigating them smoothly.

• Storytelling: Be prepared to walk through your analysis step-by-step, explaining your thought process and the 'so what?' of your findings.

• Conciseness: Practice presenting within a set time limit, focusing on the most impactful aspects of your work. Be ready for deeper dives into specific areas if asked.

• Enthusiasm: Show genuine interest in the data and the problems you've solved, and how you can apply these skills to Syntegon's challenges.

📝 Enhancement Note: These interview questions and preparation tips are tailored to assess the core competencies of a data-driven operations role, emphasizing analytical skills, tool proficiency (Power BI), strategic thinking, and collaborative abilities, all within the context of Syntegon's industry and graduate program structure.

📌 Application Steps

To apply for this operations position:

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

• Tailor Your Resume: Ensure your resume highlights relevant academic projects, internships, and any experience with data analysis, Power BI, Excel, or PowerPoint. Focus on quantifiable achievements and skills directly related to the job description, especially your analytical and problem-solving capabilities.

• Prepare Your Portfolio: Gather and organize your best Power BI dashboards, data analysis case studies, and any relevant process documentation. Ensure they are easily accessible (e.g., via a shared drive link or PDF) and clearly demonstrate your skills as outlined in the "Process & Systems Portfolio Requirements" section.

• Research Syntegon: Understand the company's mission, products (pharmaceutical filling & packaging, food packaging), and recent news. Familiarize yourself with the industry context. This research will be invaluable for answering company-specific questions and demonstrating your genuine interest.

• Practice Presentation: Rehearse your portfolio presentation thoroughly. Practice explaining your projects clearly, concisely, and with enthusiasm, focusing on the impact and insights derived from your work. Be ready to answer technical and strategic questions about your projects.

⚠️ 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.