Werkstudent (m/w/d) Quantitative UX Research

📍 Job Overview

Job Title: Werkstudent (m/w/d) Quantitative UX Research

Company: AMCS Group

Location: Berlin, Germany

Job Type: Intern

Category: Operations - User Experience & Data Analytics

Date Posted: May 19, 2026

Experience Level: Entry Level (0-2 years)

Remote Status: On-site

🚀 Role Summary

• This Werkstudent (Intern) role focuses on Quantitative UX Research, a critical component of Product Operations and Go-To-Market (GTM) strategy.

• The position requires a strong analytical mindset to drive data-driven decision-making through the meticulous definition, tracking, and analysis of user behavior metrics within the company's SaaS platform.

• Successful candidates will translate complex data sets into actionable insights, directly influencing product development, user experience enhancements, and overall customer success.

• This role offers a unique opportunity to gain hands-on experience in product analytics, user research methodologies, and cross-functional collaboration within a leading European EHS and ESG software provider.

📝 Enhancement Note: While the title specifies "UX Research," the core responsibilities and tools (Countly, data analysis, reporting) strongly align with Product Operations and Data Analytics roles, particularly those focused on understanding and improving user engagement within a software product. The "Werkstudent" designation indicates an internship or part-time student role, typically for individuals pursuing a degree.

📈 Primary Responsibilities

• Metric Definition & Implementation: Collaborate with Qualitative UX Research, Product Management, and UX teams to define, prioritize, and implement action-oriented metrics for tracking user behavior within the Quentic software. This involves detailed planning and close coordination with Development Teams to ensure accurate data capture in Countly.

• Data Analysis & Interpretation: Independently analyze collected user behavior data in Countly, performing combinations, segmentations, and comparisons to identify trends, patterns, and potential areas for improvement.

• Reporting & Insight Generation: Develop comprehensive reports that clearly summarize findings, translate complex data into understandable insights, and present concrete, actionable recommendations to internal stakeholders across various departments and locations.

• Cross-Functional Collaboration: Actively coordinate with internal teams, including the App team in Finland and Countly Support, to ensure seamless data flow, address technical queries, and maintain the integrity of the tracking system.

• System Integration & Understanding: Gain a deep understanding of the Quentic interface and existing user data to effectively contextualize quantitative findings and contribute to the long-term strategic planning of holistic quantitative tracking across all Quentic interfaces.

📝 Enhancement Note: The responsibilities emphasize a direct impact on product strategy and user experience through data. The requirement to "translate complex data into understandable insights" and "present concrete, actionable recommendations" highlights the importance of communication and strategic thinking beyond pure data crunching.

🎓 Skills & Qualifications

Education:

Experience:

• Demonstrated experience in effectively analyzing extensive datasets from analytics tools.

• Proven ability to translate data findings into relevant, actionable recommendations for stakeholders.

Required Skills:

• Quantitative UX Research: Understanding of how to design and interpret quantitative user research studies.

• Data Analysis: Proficiency in analyzing large datasets, identifying trends, and drawing meaningful conclusions.

• Metric Definition & Tracking: Ability to define key performance indicators (KPIs) and user behavior metrics relevant to software engagement.

• Reporting & Visualization: Skill in creating clear, concise reports and presentations that effectively communicate findings and recommendations.

• Stakeholder Communication: Ability to articulate complex data insights to non-technical audiences.

• Proficiency in German: Strong command of the German language for effective communication within the local team and for understanding user feedback.

• Proficiency in English: Good command of the English language for collaboration with international teams and utilizing documentation.

Preferred Skills:

• Countly Expertise: Prior experience working with Countly for user behavior analytics is highly advantageous.

• Tableau Experience: Familiarity with Tableau for data visualization and dashboard creation is a plus.

• JavaScript Knowledge: Basic understanding or experience with JavaScript, potentially for implementing tracking or understanding front-end data capture.

📝 Enhancement Note: The "Werkstudent" designation implies this is an entry-level role, suitable for students seeking practical experience. The emphasis on translating data into "actionable recommendations" and "compelling presentations" points towards a need for strong analytical and communication skills rather than deep technical expertise. The preferred skills in Countly and Tableau are key differentiators.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Analysis Case Studies: Examples of projects where you analyzed significant datasets to identify user pain points or opportunities for improvement, demonstrating your analytical process and problem-solving approach.

• Reporting Samples: Submissions showcasing your ability to create clear, concise, and visually appealing reports that effectively communicate complex data insights and actionable recommendations to diverse audiences.

• Presentation Materials: Examples of presentations delivered to stakeholders, particularly those involving data-driven findings and strategic proposals for product or process enhancements.

• Methodology Documentation: If applicable, documentation outlining the quantitative research methodologies or analytical frameworks used in previous projects.

Process Documentation:

• Workflow Design for Data Collection: Ability to articulate how you would design or contribute to the design of user behavior tracking workflows.

• Data Interpretation & Synthesis: Showcase how you synthesize data from various sources (e.g., Countly, user feedback) into coherent insights.

• Actionable Recommendation Frameworks: Demonstrate an understanding of how to structure recommendations that are specific, measurable, achievable, relevant, and time-bound (SMART) for product teams.

📝 Enhancement Note: For an intern role, the portfolio expectations will be tailored. Emphasis will be on academic projects, personal projects, or any prior internship experience that demonstrates the core analytical and communication skills required. The focus is on potential and foundational understanding, rather than extensive professional experience.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Agile Working Methods: Opportunity to work within agile frameworks, fostering flexibility and continuous improvement.

• State-of-the-Art Technologies: Exposure to and use of modern analytics and collaboration tools.

• Structured Onboarding: Comprehensive introduction to the company, tools, and processes by experienced colleagues.

• Flat Hierarchies: An open and accessible work environment with direct communication channels to management.

• Regular Team Events: Opportunities for social interaction and team building.

• Organic Fruit & Drinks: Provided fresh produce and beverages to support well-being.

• Workplace Massage: Access to services that promote employee wellness and stress reduction.

Working Hours:

• This is a part-time position, requiring 15-20 hours per week, making it suitable for students balancing work and studies. The schedule is flexible and can be coordinated with academic commitments.

📝 Enhancement Note: The salary is an estimate based on typical German "Werkstudent" compensation. The benefits are directly pulled from the job description's "Deine Aussichten" section and are presented with context relevant to operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software as a Service (SaaS), specifically focused on Environment, Health, and Safety (EHS) and Environmental, Social, and Governance (ESG) management.

Company Size: AMCS Group is a global leader, and Quentic, as part of it, has over 250 employees across multiple European locations. This indicates a growing, established company with a significant market presence.

Founded: Quentic was founded to address the growing need for digital solutions in EHS and ESG. Being part of AMCS Group adds a layer of global stability and technological backing.

Team Structure:

• UX Team within Product Management: The role sits within the User Experience Design area, which is part of the broader Product Management function. This ensures close alignment with product strategy and development.

• Cross-Functional Collaboration: The role requires significant interaction with internal stakeholders from Software Development, Product Management, Consulting, and potentially international teams (e.g., App team in Finland).

• Reporting: The Werkstudent will work closely with experienced colleagues and likely report to a Senior UX Researcher, Product Manager, or Data Analyst responsible for quantitative insights.

Methodology:

• Agile Development: The company utilizes agile approaches, suggesting a dynamic and iterative work environment.

• Data-Driven Decision Making: A core methodology is the use of quantitative data (user behavior metrics) to inform product development and UX improvements.

• User-Centric Design: The emphasis on UX research and user experience indicates a commitment to understanding and meeting user needs.

Company Website: https://www.amcsgroup.com/careers/

📝 Enhancement Note: The company's focus on EHS and ESG software positions it in a growing and socially relevant market. The "Werkstudent" role offers exposure to a professional, international, and data-driven environment within the SaaS industry.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level, part-time Werkstudent role, ideal for students gaining initial professional experience in quantitative research and data analytics within the tech industry. It serves as a foundational step for a career in UX Research, Product Analytics, Data Science, or Product Management.

Reporting Structure: The Werkstudent will report to a more senior member of the UX or Product Management team, receiving guidance and mentorship. This structure allows for structured learning and development.

Operations Impact: While an intern role, the work directly contributes to improving the user experience and effectiveness of the Quentic software. By identifying and quantifying user behavior patterns, the role provides critical data that informs product roadmap decisions, feature prioritization, and the overall strategy for user engagement and retention.

Growth Opportunities:

• Skill Development in Data Analytics & UX Research: Gain hands-on experience with industry-standard tools like Countly and potentially Tableau, and learn robust methodologies for quantitative user research.

• Industry Exposure: Deepen understanding of the EHS and ESG SaaS market and the operational challenges faced by businesses in these sectors.

• Professional Networking: Build relationships with experienced professionals in Product Management, UX, and Software Development, opening doors for future career opportunities.

• Potential for Future Roles: Successful interns may be considered for full-time positions upon graduation, depending on performance and business needs.

📝 Enhancement Note: This role is framed as a learning opportunity. The growth analysis focuses on the skills and knowledge gained, which are directly transferable to many operations and analytics roles in the tech sector.

🌐 Work Environment

Office Type: The role is specified as "On-site" in Berlin, indicating a traditional office-based work environment.

Office Location(s): Berlin, Germany. This location is a major hub for technology and startups in Europe, offering a dynamic professional ecosystem.

Workspace Context:

• Collaborative Environment: The description emphasizes working closely with multiple internal stakeholders, suggesting an environment that values teamwork and open communication.

• Access to Tools & Technology: Interns will have access to the necessary software and tools (Countly, office suite, etc.) to perform their duties effectively.

• Team Interaction: Regular team events and an "open door" policy in a "professional but casual atmosphere" foster opportunities for interaction and knowledge sharing with colleagues.

Work Schedule: The 15-20 hours per week schedule is designed to be flexible, allowing interns to integrate their work responsibilities with their academic pursuits. This flexibility is crucial for students managing demanding study programs.

📝 Enhancement Note: The "On-site" nature of the role in Berlin provides a concrete work setting. The emphasis on collaboration and team events suggests a positive and integrated workplace culture for interns.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, resume, and any submitted portfolio materials to assess qualifications and fit.

• First Interview (likely with Hiring Manager/Team Lead): Focus on understanding your academic background, motivation for the role, and foundational knowledge in data analysis and UX research. Expect behavioral questions and discussions about your understanding of user behavior.

• Technical/Case Study Assessment (potential): You might be asked to analyze a small sample dataset, interpret a chart, or discuss how you would approach a specific user behavior tracking problem. This is where your portfolio can be invaluable.

• Final Interview (potentially with HR and/or Senior Team Members): To discuss cultural fit, career aspirations, and confirm details.

Portfolio Review Tips:

• Highlight Relevant Projects: Focus on academic projects, personal projects, or prior internships that demonstrate your ability to collect, analyze, and interpret data, and to present findings clearly.

• Showcase Analytical Process: For each project, clearly outline the problem, your methodology (data sources, tools used, analytical steps), your findings, and the recommendations you made.

• Quantify Impact: Where possible, demonstrate the impact of your analysis – e.g., "identified a user drop-off point that led to a proposed redesign," or "provided insights leading to a 10% improvement in feature adoption."

• Presentation Clarity: Ensure your portfolio elements (reports, presentations) are well-organized, visually appealing, and easy to understand for a non-technical audience.

Challenge Preparation:

• Understand Countly (if possible): Familiarize yourself with the basic concepts of user analytics platforms like Countly. Even a high-level understanding of event tracking, user segmentation, and dashboard creation will be beneficial.

• Practice Data Interpretation: Be ready to interpret simple charts or graphs and explain what they mean and what actions could be taken based on them.

• Articulate Your "Why": Be prepared to explain why you are interested in quantitative UX research, why AMCS Group/Quentic, and how this role aligns with your academic and career goals.

📝 Enhancement Note: The interview process for a Werkstudent role will likely be less intensive than for a full-time position but will still assess core competencies. A strong, relevant portfolio is crucial for demonstrating potential.

🛠 Tools & Technology Stack

Primary Tools:

• Countly: This is the central analytics platform for tracking user behavior. Proficiency or familiarity with Countly is a significant advantage.

• Tableau (Preferred): A powerful data visualization tool. Experience with Tableau would be beneficial for creating dashboards and reports.

• JavaScript (Ideally): Knowledge of JavaScript may be helpful for understanding front-end data capture or potentially for implementing tracking code.

Analytics & Reporting:

• Internal Reporting Tools: While Countly is specified, the company likely uses other internal tools or methods for aggregating and presenting data.

• Presentation Software: Standard tools like PowerPoint, Google Slides, or Keynote will be used for creating and delivering reports to stakeholders.

CRM & Automation:

• While not explicitly mentioned as a primary tool for this role, understanding that Quentic is a SaaS product means it likely integrates with CRM systems and utilizes automation in its backend. The quantitative data collected will inform CRM strategies and automation workflows.

📝 Enhancement Note: The emphasis is heavily on the analytics platform, Countly. Acquiring skills in this tool will be a key takeaway from the role. Familiarity with data visualization tools like Tableau is also highly valued.

👥 Team Culture & Values

Operations Values:

• Data-Driven Approach: A strong emphasis on using quantitative data to guide decisions and measure impact.

• User-Centricity: Commitment to understanding and improving the user experience of the software.

• Collaboration & Teamwork: Working effectively across departments and international locations to achieve common goals.

• Efficiency & Improvement: A continuous drive to optimize processes and user workflows through insights derived from data.

• Professionalism & Growth: A culture that supports learning, development, and professional advancement, even for interns.

Collaboration Style:

• Cross-Functional Integration: The role necessitates close collaboration with Product Management, UX Design, and Development teams, requiring strong communication and teamwork.

• Feedback Exchange: An environment that encourages open feedback, especially regarding data interpretation and actionable recommendations.

• Knowledge Sharing: The "open door" policy and team events suggest a culture where knowledge sharing and mentorship are encouraged.

📝 Enhancement Note: The culture appears to be a blend of analytical rigor (data-driven) and a collaborative, user-focused approach, common in successful tech product teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Interpretation Complexity: Learning to navigate and interpret large, complex datasets from a sophisticated analytics tool like Countly can be challenging.

• Translating Data to Action: Effectively bridging the gap between raw data and concrete, implementable recommendations requires critical thinking and strategic insight.

• Cross-Cultural Communication: Collaborating with international teams (e.g., Finland) may present communication nuances and require adaptability.

• Balancing Study and Work: Effectively managing the 15-20 hours per week workload alongside academic responsibilities.

Learning & Development Opportunities:

• Mastering Analytics Tools: Gaining hands-on expertise with Countly, a key tool in the product analytics space.

• Developing Analytical Skills: Enhancing abilities in data analysis, statistical interpretation, and deriving actionable insights.

• Understanding the SaaS Product Lifecycle: Learning how user data informs product strategy, development, and Go-To-Market efforts within a SaaS company.

• Professional Communication: Improving skills in presenting data and recommendations to diverse stakeholder groups.

📝 Enhancement Note: The challenges are framed as opportunities for growth, particularly in developing essential analytical and communication skills relevant to operations and product roles.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data to solve a problem or make a recommendation." (Prepare a specific example from academic or personal projects, detailing your process, findings, and the outcome.)

• "How would you approach defining metrics to track user engagement with a new feature in our software?" (Think about user goals, key actions, and how to measure success. Mention collaboration with product managers.)

Company & Culture Questions:

• "Why are you interested in quantitative UX research and working for AMCS Group/Quentic?" (Research the company's mission and values, and align your interests with their EHS/ESG focus and SaaS model.)

• "What do you know about the EHS/ESG market and why is it important?" (Show you've done your homework on the industry.)

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each portfolio item, clearly explain: 1. The Problem/Objective, 2. Your Approach/Methodology, 3. The Data/Tools Used, 4. Your Findings, 5. Your Recommendations/Impact.

• Focus on Actionability: Emphasize how your analysis led to concrete, actionable insights or recommendations.

• Visual Clarity: Ensure any charts or graphs you present are easy to understand and directly support your narrative.

• Be Prepared for Questions: Anticipate questions about your data sources, analytical choices, and the limitations of your findings.

📝 Enhancement Note: Interview preparation should focus on demonstrating analytical thinking, communication skills, a proactive attitude, and a genuine interest in the company's domain.

📌 Application Steps

To apply for this Werkstudent (m/w/d) Quantitative UX Research position:

• Submit your application through the provided link on the AMCS Group careers page.

• Tailor your Resume/CV: Highlight relevant coursework, academic projects, and any prior experience in data analysis, research, or statistics. Use keywords from the job description like "Quantitative UX Research," "Data Analysis," "Countly," "Reporting," and "Presentation Skills."

• Prepare Your Portfolio: Gather examples of academic projects, personal work, or previous internships that showcase your data analysis, reporting, and presentation capabilities. Ensure these clearly demonstrate your ability to derive insights from data.

• Research AMCS Group & Quentic: Understand their mission, products (especially Quentic), and their position in the EHS/ESG market. This will be crucial for demonstrating genuine interest and cultural fit.

• Practice Explaining Your Work: Be ready to walk through your portfolio items, explaining your thought process, methodologies, and the impact of your findings in a clear and concise manner.

⚠️ 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.