Senior UX Researcher

📍 Job Overview

Job Title: Senior UX Researcher

Company: Jobgether (on behalf of a partner company)

Location: Netherlands

Job Type: Fixed term, Part-time (approx. 30 hours/week)

Category: User Experience Research, Data & Analytics

Date Posted: April 15, 2026

Experience Level: 5-10 years

🚀 Role Summary

• Lead and execute end-to-end UX research initiatives, with a strong emphasis on quantitative methodologies to drive product strategy.

• Conduct large-scale studies, survey design, and statistical analysis to uncover user behaviors, motivations, and needs for a global knowledge platform.

• Collaborate closely with UX Research leads, product teams, and cross-functional stakeholders in a remote-first, globally distributed environment.

• Translate complex research findings into clear, actionable insights and present them effectively to diverse audiences across different time zones.

• Contribute to a mission-driven organization focused on global social impact and knowledge access.

📝 Enhancement Note: This role is a contract position posted by Jobgether for a partner company, focusing heavily on quantitative UX research for a large-scale knowledge platform. The emphasis on "large-scale studies," "statistical analysis," and "data-driven decision-making" suggests a need for a researcher who can manage complex data sets and derive strategic product recommendations. The "remote-first and globally distributed environment" implies strong communication and asynchronous collaboration skills are critical.

📈 Primary Responsibilities

• Coordinate with UX Research leads and stakeholders to define comprehensive research goals, select appropriate methodologies, establish realistic timelines, and manage execution plans for UX research projects.

• Design and scope research projects, prioritizing quantitative and mixed-method approaches to address key product and user experience questions.

• Oversee all phases of the research process, including detailed survey design, efficient participant recruitment strategies, robust data collection protocols, and smooth research operations management.

• Perform in-depth quantitative analysis, including statistical interpretation, data visualization, and clear reporting of findings to highlight key trends and insights.

• Execute qualitative research components, such as user interviews, diary studies, or contextual inquiries, when complementary to quantitative findings or to add depth to user understanding.

• Synthesize research findings into concise, actionable insights and strategic recommendations that directly inform product roadmaps, design iterations, and overall user experience improvements.

• Effectively communicate research outcomes, insights, and recommendations to a wide range of stakeholders, including product managers, designers, engineers, and leadership, through compelling written reports and engaging presentations.

📝 Enhancement Note: The responsibilities highlight a need for strong project management within research, from planning to execution and communication. The specific mention of "survey design," "participant recruitment," "data collection," and "research operations" points to a researcher who is hands-on with the operational aspects of conducting large-scale studies, not just analysis. The emphasis on translating findings into "actionable insights" and informing "product strategy" underscores the strategic impact expected from this role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Statistics, Computer Science, or a related field is typically expected for senior-level UX research roles.

Experience: Minimum of 5 years of progressive experience in User Experience (UX) Research, with a demonstrated specialization in quantitative research methodologies and their application in product development.

Required Skills:

• 5+ years of hands-on experience in UX Research, with a significant focus on quantitative research methods and their application in product development cycles.

• Deep expertise in designing and executing large-scale user surveys, quantitative usability studies, diary studies, and UX benchmarking methodologies to measure and improve user experience.

• Proficient in statistical analysis techniques, data interpretation, and the creation of effective data visualizations to communicate complex findings to diverse audiences.

• Proven experience conducting qualitative research methods, including user interviews and contextual inquiry, to supplement quantitative data and provide richer user insights.

• Demonstrated ability to independently lead end-to-end research projects from conception to delivery, as well as collaborate effectively within cross-functional product teams.

• Exceptional written and verbal communication skills, with a proven ability to articulate complex research findings, methodologies, and recommendations clearly and persuasively.

• Strong organizational and project management skills, with a proven capacity to manage multiple research priorities, adhere to deadlines, and maintain high standards of quality.

Preferred Skills:

• Multilingual abilities, which can be highly advantageous for conducting research across diverse international user bases.

• Experience working with open-source communities or volunteer-driven organizations, understanding their unique dynamics and research needs.

• Familiarity with wiki-based platforms and their specific user interaction patterns and research considerations.

• Experience with A/B testing and experimentation design within a product context.

• Proficiency in statistical software packages (e.g., R, SPSS, Python libraries for data analysis).

📝 Enhancement Note: The "5+ years" requirement combined with "lead research projects independently" clearly positions this as a senior-level role. The emphasis on "quantitative research methods" and "statistical analysis" is paramount, with qualitative skills noted as supplementary. The "nice-to-haves" provide specific areas where candidates can differentiate themselves, particularly for a role focused on a knowledge platform.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 comprehensive UX research projects that clearly demonstrate your ability to lead end-to-end research, with a strong emphasis on quantitative methodologies.

• For each project, clearly articulate the research problem, your specific role and contributions, the methodologies employed (highlighting quantitative approaches like surveys and statistical analysis), and the resulting actionable insights.

• Include examples of survey instruments, data analysis outputs (charts, graphs, statistical summaries), and the final deliverables (reports, presentations) that influenced product or design decisions.

• Demonstrate your ability to translate raw data into compelling narratives and strategic recommendations that drove measurable impact or improvements in user experience.

Process Documentation:

• Be prepared to discuss your systematic approach to research planning, including how you define research questions, select appropriate quantitative methods, and set up research operations for efficiency.

• Detail your process for conducting rigorous quantitative data analysis, including statistical validation and interpretation, and how you ensure the reliability and validity of your findings.

• Explain your workflow for synthesizing both quantitative and qualitative findings into cohesive, actionable insights and how you communicate these to cross-functional teams.

• Showcase your understanding of research ethics, data privacy considerations (especially relevant for a knowledge platform), and how you implement these in your research processes.

📝 Enhancement Note: Given the strong quantitative focus, the portfolio should heavily feature projects demonstrating survey design, statistical analysis, and the impact of these findings. The "process documentation" section emphasizes the need for candidates to articulate their structured approach to research operations and data analysis, crucial for a senior role managing large-scale studies.

💵 Compensation & Benefits

Salary Range: For a Senior UX Researcher with 5-10 years of experience in the Netherlands, a competitive salary range for a part-time (approximately 30 hours/week) contract role would typically fall between €4,000 and €7,000 gross per month. This range is an estimate and can vary significantly based on the specific partner company's budget, the researcher's exact experience level, and the negotiation outcome. (Note: This is an estimated range based on general market data for contract UX research roles in the Netherlands. Actual compensation will be adjusted based on location, experience, and the partner company's compensation structure.)

Benefits:

• Fully remote, global-first working environment: Offers flexibility and the ability to work from anywhere within the designated region.

• Part-time contract (approx. 30 hours per week) with flexible engagement: Provides work-life balance and adaptability.

• Opportunity to contribute to a globally recognized, high-impact knowledge platform: Meaningful work with significant social impact.

• Exposure to large-scale UX research challenges: Experience with diverse international audiences and complex research problems.

• Collaborative work with experienced UX researchers and product teams: Opportunity for knowledge sharing and professional development.

• Competitive compensation adjusted to location and experience: Reflects the value and expertise brought to the role.

Working Hours: Approximately 30 hours per week, with flexibility in scheduling to accommodate global collaboration across different time zones.

📝 Enhancement Note: As this is a contract role, benefits are typically more focused on flexibility and compensation rather than traditional full-time employee benefits. The salary estimate considers the part-time nature and the senior level for the Netherlands market. The "flexible engagement" and "flexible working hours" are key benefits for contract positions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Information Services, Education Technology (implied by "knowledge platform" and "global social impact"). The partner company operates within the domain of large-scale information dissemination and accessibility.

Company Size: Not explicitly stated, but the need for "global collaboration" and "large-scale studies" suggests a well-established organization, likely medium to large, with a significant user base.

Founded: Not specified, but the context implies an organization with a mature product and established research practices.

Team Structure:

• The UX Research team is likely composed of experienced researchers, potentially with specialized focuses (e.g., quantitative, qualitative, generative, evaluative).

• Collaboration will occur with product managers, UX designers, engineers, and potentially data scientists within product development teams.

Methodology:

• Emphasis on data-driven decision-making, particularly leveraging quantitative research and statistical analysis.

• Structured approach to research planning, execution, and reporting, with clear objectives and deliverables.

• Collaborative methodology involving cross-functional teams to ensure research insights are effectively integrated into product development.

• Focus on impact-driven work, ensuring research contributes directly to meaningful improvements for a global audience.

Company Website: The role is posted by Jobgether on behalf of a partner company. The specific partner company's website is not provided in the raw data, but Jobgether's website is https://jobgether.com/.

📝 Enhancement Note: The description points to a company that values data, impact, and global reach. The remote-first nature suggests a culture that trusts employees and has robust systems for virtual collaboration. The "knowledge platform" aspect implies a mission-driven environment focused on education or information access.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Researcher role, signifying a mid-to-senior level position within the UX Research discipline. It requires independent project leadership, deep methodological expertise, and the ability to influence product strategy based on rigorous data analysis. The role is contract-based and part-time, offering specialized experience rather than a direct traditional career ladder within this specific engagement.

Reporting Structure: The Senior UX Researcher will coordinate closely with UX Research leads and will collaborate with product teams and research peers. The direct reporting line is likely to a UX Research Lead or Manager, with project-based collaboration across various product squads.

Operations Impact: The impact of this role is significant, as the research directly informs the user experience of a "world’s largest knowledge platform" used by "millions of people globally." By uncovering user needs and behaviors through data-driven insights, the researcher will play a crucial part in enhancing usability, accessibility, and overall effectiveness of the platform, thereby contributing to its mission of global knowledge access.

Growth Opportunities:

• Deepen Quantitative Research Expertise: Gain extensive experience in designing and executing large-scale surveys and complex statistical analyses for a global product.

• Sharpen Stakeholder Management Skills: Practice communicating complex data-driven insights to diverse international stakeholders across various functions.

• Contribute to High-Impact Product Development: Be part of a team working on a product with significant social and educational value.

• Enhance Remote Collaboration Skills: Further develop expertise in asynchronous communication and virtual teamwork within a distributed global organization.

• Explore Niche Platform Research: Gain specific experience researching user behavior on large, community-driven knowledge platforms like wikis.

📝 Enhancement Note: While this is a contract role, the "Senior" designation and the scope of responsibilities offer substantial professional development. The growth opportunities are focused on deepening specific research skills and contributing to a high-impact product, rather than a traditional linear career path within this specific contract.

🌐 Work Environment

Office Type: This is a fully remote, global-first working environment. There is no requirement to be in a physical office.

Office Location(s): The role is based in the Netherlands, but the work is conducted remotely. This implies the candidate should be legally able to work in the Netherlands, but the day-to-day work will be conducted from their home office.

Workspace Context:

• Independent Work Environment: Candidates are expected to have a suitable home office setup conducive to focused work and effective communication.

• Digital Collaboration Tools: The environment relies heavily on digital tools for communication, project management, and research execution (e.g., video conferencing, Slack/Teams, survey platforms, data analysis software).

• Global Team Interaction: Opportunities for interaction with colleagues across various time zones, requiring adaptability and proactive communication.

• Focus on Data & Analysis: The workspace should support deep analytical work, including quiet time for data interpretation and report writing.

Work Schedule: Approximately 30 hours per week. The schedule offers flexibility, allowing the researcher to manage their time effectively while ensuring availability for key meetings and collaborations across different time zones.

📝 Enhancement Note: The "remote-first" and "global-first" nature dictates the work environment. The flexibility is a key characteristic, but candidates must be self-disciplined and adept at virtual collaboration. Being based in the Netherlands is a requirement, but the work itself is not tied to a specific office location.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (AI & Jobgether): Your application will be reviewed by Jobgether's AI-powered matching process to assess core requirements. Shortlisted candidates will then be shared with the hiring company.

• Hiring Company Screening: The partner company's internal team will review applications and select candidates for initial interviews.

• First Interview (Hiring Team): Typically with a UX Research Lead or Hiring Manager. Focus on your experience, research methodologies (especially quantitative), and understanding of product development.

• Portfolio Presentation/Deep Dive: A session where you present key projects from your portfolio, detailing your process, findings, and impact. Expect in-depth questions about your quantitative analysis and strategic contributions.

• Skills Assessment/Case Study (Potential): You might be given a small research challenge or asked to analyze a hypothetical scenario to assess your problem-solving and analytical skills.

• Final Interview: May involve meeting with additional stakeholders or senior leadership to assess cultural fit and overall suitability.

Portfolio Review Tips:

• Quantify Everything: For each project, clearly state the scale of the study (e.g., number of participants, survey response rate), the statistical significance of findings, and any measurable impact on key metrics.

• Methodology Clarity: Explicitly detail your quantitative methods (e.g., survey design principles, statistical tests used, sampling strategies) and how they addressed the research questions.

• Insight-to-Action Narrative: Clearly link your research findings to specific product or design recommendations and, ideally, show evidence of the impact these changes had.

• Visual Appeal & Clarity: Ensure your portfolio is well-organized, visually appealing, and easy to navigate. Use charts and graphs effectively to present data.

• Remote Work Readiness: Highlight projects where you successfully managed research in a remote or distributed setting.

Challenge Preparation:

• Quantitative Problem Solving: Be ready to discuss how you would approach a research problem using quantitative methods. Practice formulating hypotheses and outlining survey designs.

• Data Interpretation: Prepare to interpret sample data sets or statistical outputs and explain what they mean for product decisions.

• Communication of Complex Data: Practice explaining statistical concepts and findings in simple terms to non-expert audiences.

• Understanding of Knowledge Platforms: If possible, familiarize yourself with common UX challenges and research approaches for large, community-driven content platforms.

📝 Enhancement Note: The AI-driven initial screening by Jobgether is a key first step. For the subsequent stages, the emphasis on quantitative analysis and portfolio presentation means candidates need to be prepared to showcase their data skills and strategic thinking with concrete examples.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Qualtrics, SurveyMonkey, Google Forms, Typeform, or similar platforms for designing, distributing, and collecting survey data.

• Statistical Analysis Software: Proficiency in tools like R, SPSS, Python (with libraries like Pandas, NumPy, SciPy), or SAS for quantitative data analysis and statistical modeling.

• Data Visualization Tools: Tableau, Power BI, Looker, or libraries within R/Python (e.g., ggplot2, Matplotlib, Seaborn) for creating clear and insightful data visualizations.

• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Google Meet for team communication and virtual meetings.

• Project Management: Jira, Asana, Trello, or similar tools for tracking research projects and tasks.

Analytics & Reporting:

• General Analytics: Familiarity with web analytics tools (e.g., Google Analytics) for understanding user behavior on the knowledge platform, though this role likely focuses on primary research data.

• Reporting Tools: Ability to create clear, concise reports and presentations using tools like Google Slides, Microsoft PowerPoint, or dedicated reporting software.

CRM & Automation:

• While not directly a CRM role, understanding how user data is managed and how research insights feed into product development pipelines is beneficial. Familiarity with basic data management principles is expected.

📝 Enhancement Note: The core requirement here is strong statistical analysis and data visualization skills, supported by proficiency in survey platforms. The ability to use R or Python for advanced analysis is highly desirable for a senior quantitative role.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value driving all research and product development efforts. Insights derived from quantitative data are paramount.

• Global Impact & Social Mission: A commitment to improving knowledge access worldwide, fostering a sense of purpose and collective achievement.

• Collaboration & Inclusivity: Valuing diverse perspectives and fostering a collaborative environment across global, distributed teams.

• Efficiency & Impact: A focus on delivering actionable insights that lead to tangible improvements and measurable outcomes for users.

• Autonomy & Proactivity: Expectation for team members to be self-sufficient, take initiative, and drive their work forward independently.

Collaboration Style:

• Asynchronous Communication: Heavily reliant on clear written communication and documentation due to the global, remote nature of the team.

• Cross-Functional Partnership: Strong emphasis on working hand-in-hand with product managers, designers, and engineers to ensure research is relevant and actionable.

• Feedback-Oriented: An environment where constructive feedback is shared and received to improve research processes and outcomes.

• Knowledge Sharing: Encouraging the sharing of best practices, methodologies, and learnings across the research team and wider organization.

📝 Enhancement Note: The culture appears to be geared towards impact, data integrity, and effective remote collaboration. The emphasis on "global social impact" and "knowledge access" suggests a mission-driven and purpose-oriented work environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Managing Large-Scale Quantitative Data: Effectively processing, analyzing, and deriving meaningful insights from potentially massive datasets requires robust analytical skills and efficient workflows.

• Cross-Time Zone Collaboration: Coordinating research activities, meetings, and discussions across multiple international time zones can be demanding and requires excellent asynchronous communication strategies.

• Translating Complex Data for Diverse Audiences: Simplifying intricate statistical findings into understandable and actionable recommendations for stakeholders with varying levels of data literacy.

• Balancing Quantitative Rigor with Qualitative Nuance: Ensuring that quantitative findings are complemented by qualitative insights where necessary to provide a holistic understanding of user needs.

• Adapting to a Remote-First Environment: Maintaining strong team connections and effective collaboration without in-person interaction requires discipline and proactive engagement.

Learning & Development Opportunities:

• Advanced Quantitative Techniques: Opportunity to refine and expand expertise in statistical modeling, experimental design, and advanced data analysis techniques.

• Global User Research Experience: Gaining deep insights into the needs and behaviors of a diverse, international user base on a large-scale platform.

• Strategic Product Influence: Developing skills in translating research into impactful product strategy recommendations that shape a widely used global platform.

• Mentorship from Research Leads: Learning from experienced researchers within a structured research team environment.

• Exposure to Mission-Driven Work: Contributing to a product that has a significant positive social impact on knowledge accessibility.

📝 Enhancement Note: The challenges are inherent to large-scale, remote, and data-intensive research roles. The growth opportunities are focused on deepening specialized research skills and gaining experience in a unique, mission-critical product environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led an end-to-end UX research project focused heavily on quantitative methods. What were the key challenges, your approach, and the impact of your findings?" (Focus on survey design, statistical analysis, and influencing product decisions).

• "How would you approach researching user engagement for a new feature on a global knowledge platform, prioritizing quantitative data? What metrics would you track, and what statistical methods would you employ?" (Assess your strategic thinking and quantitative methodology).

• "Imagine you have conflicting quantitative and qualitative findings. How would you reconcile them to provide a cohesive recommendation to the product team?" (Tests your ability to synthesize data and manage ambiguity).

Company & Culture Questions:

• "What interests you about working on a 'knowledge platform' with global social impact?" (Show genuine interest in the mission).

• "How do you adapt your communication style when presenting complex data to non-technical stakeholders?" (Assesses your communication and stakeholder management skills).

• "Describe your experience working in a fully remote, globally distributed team. What strategies do you use to stay connected and collaborate effectively?" (Highlights your remote work capabilities).

Portfolio Presentation Strategy:

• Structure Your Narratives: For each project, use a clear story arc: Problem -> Your Role & Methodology -> Key Findings (quantified) -> Recommendations -> Impact.

• Show, Don't Just Tell: Present actual examples of survey instruments, data visualizations, and reports. Explain why you made certain design choices or analytical decisions.

• Quantify Impact: Wherever possible, demonstrate the measurable impact of your research. Use numbers, metrics, and ROI examples.

• Be Ready for Deep Dives: Anticipate detailed questions about your statistical methods, data interpretation, and how you handled any challenges or limitations in your research.

• Focus on Actionability: Clearly articulate how your research translated into concrete product or design changes and why those changes were important.

📝 Enhancement Note: The interview preparation should heavily emphasize the quantitative aspects of UX research, the ability to derive strategic insights, and effective communication in a remote, global context. The portfolio presentation is a critical component for demonstrating these skills.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link.

• Tailor Your Resume: Highlight your experience with quantitative UX research methodologies, statistical analysis, survey design, and large-scale studies. Quantify your achievements with metrics and impact where possible.

• Curate Your Portfolio: Select 2-3 of your strongest UX research projects that best showcase your quantitative expertise, end-to-end research process, and ability to drive product impact. Ensure clear documentation of methodologies, findings, and outcomes.

• Prepare Your Presentation: Practice presenting your portfolio projects, focusing on clear storytelling, robust quantitative data, and actionable insights. Be ready to discuss your process in detail.

• Research the Company (if possible): While the partner company is not named, research Jobgether's mission and how they facilitate remote and AI-driven hiring. Understand the general landscape of large knowledge platforms and their UX challenges.

⚠️ 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.