Senior UX Researcher

📍 Job Overview

Job Title: Senior UX Researcher

Company: Jobgether (on behalf of a partner company)

Location: Switzerland

Job Type: Fixed term (Part-time, approximately 30 hours per week)

Category: User Experience Research / Product Insights

Date Posted: April 15, 2026

Experience Level: 5+ years

Remote Status: Fully remote, global-first

🚀 Role Summary

• Lead and support end-to-end UX research initiatives, with a primary focus on quantitative methodologies and large-scale studies to drive product strategy.

• Conduct rigorous data analysis, statistical interpretation, and data visualization to translate complex findings into actionable insights for product and design teams.

• Collaborate effectively with cross-functional teams, including UX Research leads, product managers, and designers, across diverse time zones in a remote-first environment.

• Manage all phases of the research lifecycle, from defining research goals and methodologies to participant recruitment, data collection, and reporting of outcomes.

📝 Enhancement Note: While the role is titled "Senior UX Researcher," the emphasis on "leading and supporting," "coordinating closely," and "supporting the scoping and design of research projects" suggests a role that requires significant autonomy and strategic input, even if not directly managing a team. The "Fixed term" and "Part-time" nature indicates a project-based or specialized need within the partner company.

📈 Primary Responsibilities

• Spearhead the end-to-end execution of UX research projects, ensuring the generation of high-quality, impactful insights that directly inform product and design decisions.

• Coordinate closely with UX Research leads and cross-functional stakeholders to meticulously define research goals, select appropriate methodologies (quantitative, qualitative, mixed-methods), establish realistic timelines, and outline execution plans.

• Champion the scoping and design of research projects, with a particular emphasis on selecting robust quantitative and mixed-method approaches suitable for large-scale studies.

• Oversee and manage all phases of the research process, including sophisticated survey design, efficient participant recruitment strategies, meticulous data collection, and streamlined research operations.

• Perform in-depth quantitative analysis and statistical interpretation of research data, leveraging advanced data visualization techniques to clearly communicate findings.

• Execute qualitative research components, such as in-depth interviews, diary studies, or contextual inquiry, to supplement quantitative findings and provide richer user context.

• Effectively translate complex research findings into clear, concise, and actionable insights that directly shape product strategy and drive user experience improvements.

• Communicate research outcomes persuasively to a diverse audience of stakeholders through well-structured written reports and engaging presentations.

📝 Enhancement Note: The responsibilities highlight a strong blend of strategic planning and hands-on execution, leaning heavily on quantitative methods. The emphasis on "end-to-end" and "managing all phases" implies a need for strong project management skills within the research context.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Psychology, Human-Computer Interaction, Statistics, Sociology, or a related field is typically expected for this level of UX research role.

Experience: 5+ years of progressive experience in User Experience (UX) Research, with a demonstrated track record of leading and delivering research projects.

Required Skills:

• Over 5 years of dedicated experience in UX Research, with a pronounced emphasis and deep expertise in quantitative research methodologies.

• Proficiency in designing and executing large-scale usability studies, comprehensive surveys, diary studies, and UX benchmarking methodologies.

• Strong command of statistical analysis principles, data interpretation techniques, and effective data visualization for research reporting.

• Demonstrated experience in conducting qualitative research methods, including user interviews and contextual inquiry, to complement quantitative data.

• Proven capability to independently lead complex research projects from inception to completion, as well as collaborate effectively within cross-functional teams.

• Exceptional written and verbal communication skills, with a talent for articulating complex research findings in an easily understandable manner to diverse audiences.

• Robust organizational and time-management skills, enabling the effective management of multiple concurrent priorities and stringent deadlines.

Preferred Skills:

• Multilingual abilities, particularly in languages relevant to global user bases.

• Experience working with open-source projects or volunteer communities, demonstrating adaptability and collaborative spirit.

• Familiarity with wiki-based platforms and their associated user research challenges.

📝 Enhancement Note: The "Nice-to-haves" are significant indicators of the partner company's domain, suggesting experience with platforms that involve community contributions and potentially multilingual user bases. The strong quantitative focus is a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a portfolio showcasing a strong quantitative research focus, with a significant portion dedicated to large-scale studies and survey-based projects.

• Include detailed case studies that clearly outline the research process, methodology selection (especially quantitative), data analysis, and the resulting impact on product decisions and user experience improvements.

• Present examples of sophisticated survey design, including complex branching logic, experimental designs, and robust sampling strategies.

• Showcase proficiency in data visualization tools and techniques to effectively communicate statistical findings and trends to non-technical stakeholders.

Process Documentation:

• Document the end-to-end research process, emphasizing the structured approach to quantitative research design, from hypothesis formulation to survey deployment.

• Detail the methodology for conducting statistical analysis and interpreting results, including the specific tools and techniques used.

• Illustrate how research findings are translated into actionable product recommendations and integrated into product development workflows.

• Provide examples of research operations workflows, including participant management, data handling, and quality assurance processes for large-scale studies.

📝 Enhancement Note: Given the role's strong quantitative emphasis, portfolio submissions must clearly highlight statistical analysis capabilities, survey design expertise, and the ability to translate large datasets into actionable product insights. This is crucial for demonstrating fit.

💵 Compensation & Benefits

Salary Range: As this is a part-time contract role (approx. 30 hours/week) in Switzerland, compensation is adjusted to local standards and experience. Based on industry benchmarks for Senior UX Researchers in Switzerland with 5+ years of experience, a competitive hourly rate would likely range from CHF 70 to CHF 100+. For a 30-hour work week, this could translate to an approximate annual compensation of CHF 109,200 to CHF 156,000.

Benefits:

• Fully remote, global-first working environment: Enjoy the flexibility and autonomy of working from anywhere, with a focus on asynchronous communication and global team integration.

• Part-time contract (approx. 30 hours per week) with flexible engagement: Offers a balance between professional contribution and personal time, with flexibility in scheduling to accommodate different time zones and personal needs.

• Opportunity to contribute to a globally recognized, high-impact knowledge platform: Work on a product with significant social impact, used by millions worldwide, enhancing global access to information.

• Exposure to large-scale UX research challenges: Gain experience tackling complex research problems across diverse international user demographics and cultural contexts.

• Collaborative work with experienced UX researchers and product teams: Engage with a network of skilled professionals, fostering knowledge sharing and professional development.

• Competitive compensation adjusted to location and experience: Ensures fair remuneration that reflects the candidate's expertise and the cost of living in their location, within the Swiss market context.

Working Hours: Approximately 30 hours per week. The role operates in a globally distributed, remote-first environment, requiring flexibility to engage with stakeholders across various time zones. While the core hours may be flexible, responsiveness during key collaboration windows will be expected.

📝 Enhancement Note: The salary estimate is based on typical contract rates for senior UX researchers in Switzerland, considering the specified part-time hours. The benefits listed are direct extracts from the job description, emphasizing flexibility and impact.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Information Services (specifically, a large knowledge platform). The partner company operates in a sector focused on democratizing knowledge and information access globally. This implies a mission-driven culture that values data, user understanding, and broad societal impact.

Company Size: Not explicitly stated, but the description of a "partner company" for Jobgether and the mention of "millions of people globally" suggests a well-established, potentially large-scale organization with a significant user base and product reach.

Founded: Not specified.

Team Structure:

• The UX Research team operates within a globally distributed, remote-first structure, likely composed of experienced researchers specializing in various methodologies.

• The reporting structure involves close coordination with UX Research leads and collaboration with product teams, implying a matrixed or project-based team engagement model.

Methodology:

• Data Analysis & Insights: A strong emphasis on quantitative analysis, statistical interpretation, and data-driven decision-making is fundamental.

• Workflow Planning & Optimization: Research project planning, execution, and the translation of insights into actionable product improvements are key.

• Automation & Efficiency: While not explicitly stated for this role, the context of a large platform suggests an appreciation for efficient research operations and scalable methodologies.

Company Website: https://jobgether.com/ (Jobgether's platform), and the partner company's knowledge platform (details not provided).

📝 Enhancement Note: The culture is likely to be analytical, mission-oriented, and highly collaborative, with a strong remote-work ethos. The focus on a "knowledge platform" and "global social impact" suggests a purpose-driven environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Senior UX Researcher," indicating a mid-to-senior level individual contributor with significant autonomy. It requires the ability to lead complex research projects, apply advanced methodologies, and directly influence product strategy.

Reporting Structure: The Senior UX Researcher will report to UX Research leads and work closely with product teams. This structure emphasizes collaboration and peer-level interaction within a distributed team.

Operations Impact: The role's impact is directly tied to shaping the user experience of a massive global knowledge platform. By uncovering user behaviors, motivations, and needs through rigorous research, the Senior UX Researcher will influence product direction, feature development, and ultimately, the platform's effectiveness and accessibility for millions of users worldwide. The quantitative focus ensures that decisions are backed by solid data, driving measurable improvements.

Growth Opportunities:

• Specialization in Large-Scale Quantitative Research: Deepen expertise in advanced survey design, statistical modeling, and large-scale data analysis within a real-world, high-impact product context.

• Cross-functional Leadership: Develop skills in influencing product strategy and collaborating with diverse, global teams, enhancing leadership and communication capabilities.

• Methodological Advancement: Gain exposure to cutting-edge research techniques and tools used in large tech organizations, potentially expanding into areas like experimental design and A/B testing insights.

• Contribution to Global Impact: Further develop a portfolio of work that demonstrates significant contributions to products with broad social and educational reach.

📝 Enhancement Note: The growth opportunities are geared towards deepening specialized research skills and expanding influence within a large-scale product environment, rather than direct management roles, given the individual contributor focus.

🌐 Work Environment

Office Type: Fully remote, global-first. This indicates no central physical office requirement, with work conducted entirely online.

Office Location(s): While the role is based in "Switzerland" for administrative or legal purposes, the work is fully remote, meaning candidates can be located anywhere, though proximity to Swiss time zones might be beneficial for collaboration.

Workspace Context:

• The workspace is digital and distributed, emphasizing asynchronous communication tools and virtual collaboration platforms.

• Access to necessary research tools, data analysis software, and communication platforms will be provided or expected to be managed by the remote worker.

• Opportunities for interaction will primarily be through virtual meetings, collaborative documents, and team communication channels, fostering a connected, albeit geographically dispersed, team environment.

Work Schedule: Approximately 30 hours per week. The flexibility inherent in a remote-first, part-time contract allows for a degree of autonomy in structuring the workday, though coordination with global team members across various time zones is a key consideration.

📝 Enhancement Note: The remote-first, global environment requires strong self-discipline, excellent communication skills, and comfort with asynchronous workflows. Candidates should be adept at managing their own time and proactively engaging with colleagues.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of the application and portfolio by Jobgether's AI-powered system and then by the hiring company's internal recruiters to assess core qualifications and alignment with quantitative research expertise.

• Hiring Manager/Team Interview: A discussion focused on your experience in quantitative UX research, statistical analysis, survey design, and managing end-to-end research projects. Be prepared to walk through specific case studies from your portfolio.

• Research/Product Team Collaboration Exercise: Potentially a collaborative session or a take-home assignment to assess your problem-solving approach, methodology selection, and ability to translate complex data into actionable insights within a specific product context.

• Stakeholder Presentation: You may be asked to present findings from a past project or a hypothetical research scenario to a group of stakeholders, demonstrating your communication and persuasion skills.

Portfolio Review Tips:

• Highlight Quantitative Prowess: Dedicate significant space to projects where you led quantitative research, detailing survey methodologies, sample sizes, statistical analyses performed, and the resulting impact.

• Showcase Process & Rigor: For each case study, clearly articulate the research questions, hypotheses, methodology, data collection process, analysis techniques, and how insights informed product decisions. Use visuals to illustrate data and findings.

• Quantify Impact: Whenever possible, provide metrics or evidence demonstrating the impact of your research on product improvements, user satisfaction, or business outcomes.

• Demonstrate Breadth (with depth): While the focus is quantitative, briefly showcase qualitative experience where it complements the quantitative work, showing a well-rounded understanding.

• Tailor to the Role: Emphasize experience with large-scale studies, survey design, and statistical analysis, as these are critical for this specific Senior UX Researcher position.

Challenge Preparation:

• Methodology Selection: Be ready to discuss why you would choose quantitative methods for specific research problems and how you would design a robust study.

• Data Interpretation: Practice explaining statistical findings clearly and concisely, and how they lead to actionable product recommendations.

• Stakeholder Communication: Prepare to articulate research plans and findings to both technical and non-technical audiences.

📝 Enhancement Note: The emphasis on "AI-powered matching" by Jobgether means ensuring your resume and portfolio are rich with keywords related to quantitative research, statistical analysis, and large-scale studies. The partner company will be looking for a researcher who can independently drive significant quantitative insights.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Experience with advanced survey tools such as Qualtrics, SurveyMonkey, Typeform (with advanced features), or custom-built survey systems.

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

• Data Visualization Tools: Expertise in creating clear and impactful visualizations using tools like Tableau, Power BI, Looker, or libraries within R/Python (e.g., ggplot2, Matplotlib, Seaborn).

• Qualitative Research Tools: Familiarity with tools for conducting interviews and analyzing qualitative data (e.g., Dovetail, NVivo, ATLAS.ti), though the primary focus is quantitative.

Analytics & Reporting:

• Web Analytics Platforms: Experience with tools like Google Analytics, Adobe Analytics, or similar platforms for understanding user behavior on a large scale.

• Reporting Dashboards: Ability to create and interpret dashboards that track key UX metrics and research findings.

CRM & Automation:

• While less direct, understanding how research insights feed into CRM strategies or product automation workflows can be a plus. Familiarity with how user data is managed and utilized within these systems is beneficial.

📝 Enhancement Note: The specific mention of "statistical analysis," "surveys," and "large-scale studies" implies a need for proficiency in quantitative analysis software and robust survey platforms. Candidates should be prepared to discuss their experience with these tools in detail.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value, emphasizing the use of robust quantitative data and statistical analysis to guide product and design choices.

• User-Centricity with Scale: A commitment to understanding user needs and behaviors, applied rigorously across a massive global user base.

• Efficiency and Scalability: An appreciation for methodologies and processes that can be effectively scaled to handle large volumes of data and users.

• Global Collaboration & Inclusion: Fostering an environment where diverse perspectives are valued, and effective collaboration occurs across geographical and cultural boundaries.

• Impact and Mission Alignment: A strong sense of purpose derived from contributing to a platform that enhances global knowledge access.

Collaboration Style:

• Cross-functional Integration: Researchers work closely with product, design, and engineering teams, contributing insights throughout the product development lifecycle.

• Asynchronous Communication: Given the global, remote nature, communication often relies on well-documented progress, clear written updates, and scheduled virtual meetings.

• Knowledge Sharing: A culture that encourages sharing best practices, research findings, and methodological learnings across the research team and wider organization.

📝 Enhancement Note: The culture emphasizes analytical rigor, a global perspective, and a collaborative spirit within a remote framework. Candidates should highlight their ability to thrive in such an environment and contribute to a mission-driven team.

⚡ Challenges & Growth Opportunities

Challenges:

• Managing Large-Scale Data Complexity: Effectively handling, analyzing, and deriving meaningful insights from large datasets generated by millions of users presents a significant analytical challenge.

• Cross-Cultural Research Nuances: Conducting research that is sensitive to and accounts for diverse cultural contexts and languages across a global user base.

• Balancing Quantitative Rigor with Qualitative Depth: Ensuring that while quantitative methods are primary, critical qualitative context isn't lost, especially in a remote setting.

• Stakeholder Alignment in a Distributed Environment: Aligning diverse stakeholders across different time zones and functional areas on research priorities and findings.

Learning & Development Opportunities:

• Advanced Quantitative Methodologies: Opportunity to deepen expertise in experimental design, statistical modeling, and advanced analytics relevant to large-scale product research.

• Global UX Research Best Practices: Exposure to and learning from how leading organizations conduct UX research on a global scale.

• Impactful Product Influence: Developing a strong portfolio of work that demonstrates significant contributions to a widely used, impactful product.

• Remote Collaboration Mastery: Honing skills in effective communication, project management, and team engagement within a distributed, remote-first setting.

📝 Enhancement Note: The challenges are inherent to working on large-scale, global products. The growth opportunities focus on deepening specialized research skills and gaining experience in high-impact environments.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex quantitative UX research project you led end-to-end. What was the problem, your methodology, and the impact of your findings on the product?" (Focus on statistical rigor, survey design, and measurable outcomes).

• "How do you approach designing a survey for a global audience with diverse linguistic and cultural backgrounds? What are the key considerations?" (Assess understanding of survey validity and cultural sensitivity).

• "Walk us through your process for analyzing large datasets from user studies. What tools do you use, and how do you ensure statistical validity?" (Demonstrate analytical proficiency and tool knowledge).

Company & Culture Questions:

• "What interests you about working on a large knowledge platform with a global social impact?" (Align your answer with the company's mission).

• "How do you adapt your research approach for a remote-first, globally distributed team?" (Highlight your experience with asynchronous communication and collaboration tools).

Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio by project, clearly outlining the problem, your role, methodology (emphasizing quantitative aspects), key findings, and impact. Use visuals extensively.

• Quantify Everything: Be prepared to discuss the scale of your studies, sample sizes, statistical significance, and any measurable outcomes resulting from your research.

• Storytelling with Data: Weave a narrative that explains why the research was important and how it led to tangible improvements, demonstrating your strategic thinking.

• Be Ready for Deep Dives: Expect questions on specific statistical tests, survey design choices, and how you handled data challenges.

📝 Enhancement Note: For this role, interview preparation must heavily emphasize quantitative methodologies, statistical interpretation, and the ability to communicate complex data effectively. Be prepared to discuss specific tools and techniques used in large-scale research.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform, ensuring your profile and resume are up-to-date.

• Customize Your Resume: Tailor your resume to highlight keywords related to quantitative UX research, statistical analysis, survey design, large-scale studies, and data visualization. Quantify your achievements wherever possible.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best exemplify your expertise in quantitative UX research, survey design, and impact on product strategy. Ensure clear documentation of methodology, analysis, and outcomes.

• Prepare for AI Screening: Understand that Jobgether uses an AI-powered matching process. Ensure your application is detailed and uses relevant keywords to maximize your chances of being shortlisted.

• Research the Partner Company (if possible): While details are limited, try to understand the nature of the "knowledge platform" to better tailor your responses and demonstrate genuine interest.

⚠️ 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.