Senior UX Researcher
š Job Overview
Job Title: Senior UX Researcher
Company: Jobgether (on behalf of a partner company)
Location: France
Job Type: Fixed term, Part-time (approx. 30 hours/week)
Category: User Experience Research / Product Research
Date Posted: April 15, 2026
Experience Level: 5+ Years
Remote Status: Fully Remote
š Role Summary
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Lead and execute end-to-end UX research initiatives for a global knowledge platform, driving product strategy through data-informed insights.
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Specialize in quantitative research methodologies, including large-scale surveys and usability studies, while also leveraging qualitative techniques.
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Collaborate closely with cross-functional product and design teams to translate complex research findings into actionable product improvements and user experience enhancements.
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Manage research operations efficiently, from survey design and participant recruitment to data analysis and stakeholder communication in a globally distributed, remote-first environment.
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Contribute to a mission-driven organization focused on enhancing global knowledge access, ideal for researchers seeking impact-driven work.
š Enhancement Note: This role is presented as a contract position through Jobgether, indicating a need for candidates comfortable with project-based work and potentially independent contractor status. The emphasis on quantitative research, statistical analysis, and large-scale studies suggests a need for a researcher skilled in extracting insights from significant datasets to influence product direction.
š Primary Responsibilities
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Research Strategy & Planning: Coordinate with UX Research leads and stakeholders to define research objectives, select appropriate methodologies (quantitative and mixed-methods), establish timelines, and develop execution plans for research projects.
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Quantitative Research Execution: Design and implement large-scale surveys, usability studies, and UX benchmarking projects. Manage participant recruitment and ensure robust data collection processes.
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Data Analysis & Interpretation: Conduct rigorous quantitative analysis, including statistical interpretation, data visualization, and clear reporting of findings to identify user behaviors, motivations, and needs.
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Qualitative Research Support: Execute qualitative research components as needed, such as user interviews, diary studies, or contextual inquiries, to provide deeper user understanding.
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Insight Translation & Communication: Translate complex research findings into clear, actionable insights and recommendations that directly inform product strategy, design decisions, and user experience improvements.
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Stakeholder Engagement: Effectively communicate research outcomes, insights, and recommendations to diverse internal stakeholders, including product managers, designers, and leadership, through comprehensive written reports and compelling presentations.
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Research Operations Management: Oversee all phases of the research process, ensuring efficient operations, adherence to timelines, and high-quality deliverables.
š Enhancement Note: The responsibilities highlight a blend of strategic leadership and hands-on execution, with a strong emphasis on quantitative methods and research operations. Candidates should be prepared to manage multiple research projects concurrently and demonstrate proficiency in both data analysis and clear communication of findings.
š Skills & Qualifications
Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Statistics, Computer Science, or a related field is typical for this level of role.
Experience: 5+ years of progressive experience in User Experience (UX) Research, with a demonstrated specialization in quantitative research methodologies.
Required Skills:
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Quantitative Research Expertise: Deep proficiency in designing and executing surveys, large-scale usability studies, diary studies, and UX benchmarking methodologies.
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Statistical Analysis & Data Interpretation: Strong knowledge of statistical analysis techniques, data interpretation, and the ability to derive meaningful insights from complex datasets.
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Data Visualization: Ability to create clear and compelling data visualizations that effectively communicate research findings to various audiences.
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Qualitative Research Acumen: Experience conducting qualitative research, including user interviews and contextual inquiry, to complement quantitative findings.
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End-to-End Research Leadership: Proven ability to independently lead research projects from conception through to final reporting and recommendation.
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Cross-functional Collaboration: Experience working effectively with product managers, designers, engineers, and other stakeholders to integrate research insights into product development.
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Communication & Presentation: Excellent written and verbal communication skills, with a demonstrated ability to present complex research findings clearly and persuasively to diverse audiences.
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Organizational Skills: Strong project management, time management, and organizational skills, with the ability to manage multiple priorities and meet deadlines.
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Proactiveness & Independence: Self-sufficient, proactive, and capable of identifying and resolving research-related blockers independently.
Preferred Skills:
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Multilingual abilities (beneficial for global audience research).
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Experience with open-source communities or volunteer-based organizations.
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Familiarity with wiki-based platforms and their user behaviors.
š Enhancement Note: The emphasis on quantitative skills and research operations suggests a need for candidates who can not only conduct research but also manage the logistical and analytical aspects efficiently. The "nice-to-haves" point to a specific domain interest in knowledge platforms and community-driven initiatives.
š Process & Systems Portfolio Requirements
Portfolio Essentials:
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Quantitative Research Case Studies: Showcase at least 2-3 detailed case studies demonstrating end-to-end quantitative research projects, including survey design, data analysis, and impact on product decisions.
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Methodological Variety: Include examples of diverse quantitative methods (e.g., A/B testing analysis, large-scale surveys, usability metrics) and how they were applied.
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Data Analysis & Visualization Examples: Provide clear examples of statistical analysis performed and how findings were visualized for impact.
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Qualitative Integration: Demonstrate instances where qualitative research was used to enrich quantitative findings or vice-versa.
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Actionable Insights & Impact: Clearly articulate the actionable insights derived from your research and the resulting product or business impact.
Process Documentation:
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Research Planning Frameworks: Be prepared to discuss your frameworks for planning and scoping research projects, including how you define research questions and select methodologies.
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Survey Design & Validation: Detail your process for designing effective surveys, including question phrasing, scaling, and pilot testing for validity and reliability.
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Data Analysis Workflows: Explain your typical workflow for analyzing quantitative data, including tools and statistical approaches used.
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Insight Synthesis & Reporting: Describe your process for synthesizing findings and creating clear, concise, and actionable reports and presentations for diverse stakeholders.
š Enhancement Note: For a Senior UX Researcher role with a strong quantitative focus, the portfolio should emphasize structured research processes, rigorous data analysis, and demonstrable impact. Candidates should be ready to walk through their methodology, challenges encountered, and the outcomes achieved in their presented case studies.
šµ Compensation & Benefits
Salary Range: Given the role is part-time (approx. 30 hours/week), contract-based, and located in France, the compensation will be adjusted to location and experience. For a Senior UX Researcher in France, a competitive hourly rate for a part-time contract could range from ā¬50 to ā¬80+ per hour, depending on specific experience and the partner company's budget. This would translate to an annual equivalent of approximately ā¬78,000 to ā¬125,000+ for a full-time role, prorated for 30 hours.
Benefits:
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Fully remote, global-first working environment: Freedom to work from anywhere.
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Part-time contract (approx. 30 hours per week): Offers flexibility and work-life balance.
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Flexible engagement: Adaptable work schedule to accommodate personal needs.
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Opportunity to contribute to a globally recognized, high-impact knowledge platform: Work on a product with significant social impact.
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Exposure to large-scale UX research challenges: Gain experience with complex research scenarios across international user bases.
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Collaborative work environment: Engage with experienced UX researchers and product teams.
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Competitive compensation adjusted to location and experience: Fair pay based on market rates and individual qualifications.
Working Hours: Approximately 30 hours per week, with flexible engagement. This implies a need for strong self-management and the ability to coordinate effectively across time zones for collaborative tasks.
š Enhancement Note: The salary estimate is based on typical senior-level UX research contract rates in Western Europe, adjusted for part-time hours. The benefits emphasize flexibility, impact, and professional development within a remote setting.
šÆ Team & Company Context
š¢ Company Culture
Industry: Technology / Knowledge Platforms / Online Education / Information Services. The partner company operates a large-scale, globally recognized knowledge platform, suggesting a focus on information accessibility, user education, and potentially community engagement.
Company Size: Not explicitly stated, but the mention of "millions of people globally" and collaboration with "UX Research leads" suggests a mid-to-large sized organization or a significant project within a larger entity.
Founded: Not specified, but the emphasis on a "global knowledge platform" implies a mature product with established user bases and infrastructure.
Team Structure:
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UX Research Function: The role involves close coordination with UX Research leads and collaboration with peer researchers, indicating a dedicated UX research team or function within the product organization.
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Cross-functional Collaboration: Close partnership with product teams (product managers, designers) is a key aspect, suggesting an integrated product development process.
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Global Distribution: The team operates in a "remote-first and globally distributed environment," requiring strong asynchronous communication skills and cultural awareness.
Methodology:
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Data-Driven Decision Making: A core tenet of the research approach, emphasizing the use of quantitative and qualitative data to inform product strategy.
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User-Centricity: Focus on understanding user behaviors, motivations, and needs to drive product improvements.
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Iterative Product Development: Implied through collaboration with product teams, likely involving iterative research cycles to support ongoing product evolution.
Company Website: Jobgether.com (for application processing), partner company website not specified.
š Enhancement Note: The company culture appears to be highly collaborative, data-driven, and globally oriented, with a strong emphasis on user impact and efficient remote operations. Researchers can expect to work on challenging problems with a distributed team.
š Career & Growth Analysis
Operations Career Level: This is a Senior UX Researcher role, indicating a level of autonomy, expertise, and the ability to lead projects independently. It suggests a researcher who can mentor junior members and influence product strategy.
Reporting Structure: The role reports to UX Research leads and collaborates closely with product teams. This structure allows for both specialized research guidance and direct integration into product development cycles.
Operations Impact: The research directly informs product strategy and user experience improvements for a platform used by millions globally. This provides a significant opportunity to influence product direction and contribute to a meaningful mission.
Growth Opportunities:
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Deepening Quantitative Expertise: Opportunity to work on large-scale studies and complex statistical analyses, further honing quantitative research skills.
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Cross-functional Influence: Develop stronger skills in influencing product roadmaps and collaborating with diverse stakeholders across different disciplines and time zones.
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Domain Specialization: Gain in-depth knowledge of user behaviors and needs within the knowledge platform domain.
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Leadership Potential: For exceptional performance, potential for increased project leadership, mentorship, or specialization within the UX research function.
š Enhancement Note: This role offers substantial growth for a senior researcher focused on quantitative methods. The impact on a global platform and the collaborative, data-driven environment are key attractors for career advancement in user research.
š Work Environment
Office Type: Fully remote, global-first. This means there is no central physical office for this specific role, and work is conducted from individual home offices.
Office Location(s): While the role is in France, the "global-first" nature implies that collaboration will occur with team members across various international locations. The partner company likely has a global presence.
Workspace Context:
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Independent Work Environment: Candidates are expected to have a suitable home office setup conducive to focused research and analysis.
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Digital Collaboration Tools: Reliance on digital tools for communication, project management, and research execution (e.g., Slack, Zoom, collaboration platforms, survey tools).
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Asynchronous Communication: The distributed nature necessitates proficiency in asynchronous communication and documentation to ensure seamless collaboration across time zones.
Work Schedule: Approximately 30 hours per week, with flexible engagement. This requires strong self-discipline, time management, and the ability to coordinate meetings and deadlines effectively with a global team.
š Enhancement Note: The remote nature demands excellent self-management, digital communication skills, and the ability to work independently while remaining connected to a global team. Flexibility is a key benefit, but it also requires proactive scheduling and communication.
š Application & Portfolio Review Process
Interview Process:
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AI-Powered Screening: Initial review by Jobgether's AI for core requirement matching.
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Hiring Company Review: Shortlisted candidates are passed to the partner company for further evaluation.
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Stage 1: Initial Screening/Interview: Likely a conversation with a UX Research lead or hiring manager to assess experience, methodology fit, and communication skills. Portfolio highlights may be discussed.
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Stage 2: Technical Interview/Case Study: This may involve a deeper dive into research methodologies, statistical analysis capabilities, and potentially a practical exercise or presentation of a detailed research case study.
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Stage 3: Cross-functional Interaction: Interviews with product managers and designers to assess collaboration style and ability to translate insights into product actions.
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Stage 4: Final Interview: Potentially with senior leadership to confirm cultural fit and strategic alignment.
Portfolio Review Tips:
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Quantify Impact: For each case study, clearly state the research objectives, methodologies used, key findings, and most importantly, the tangible impact of your research on the product or business. Use metrics where possible.
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Showcase Process: Detail your thought process for survey design, participant selection, data analysis (including statistical rigor), and how you synthesized findings.
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Highlight Problem-Solving: Discuss any challenges encountered during research and how you overcame them, demonstrating resilience and adaptability.
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Tailor to Role: Emphasize projects that align with the job description's focus on quantitative research, large-scale studies, and informing product strategy for a knowledge platform.
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Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and the key takeaways are immediately apparent.
Challenge Preparation:
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Quantitative Problem-Solving: Be prepared for hypothetical scenarios where you need to design research to answer specific product questions using quantitative methods.
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Data Interpretation Scenarios: Practice interpreting sample datasets or research results and articulating actionable recommendations.
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Stakeholder Communication: Prepare to explain complex research concepts and findings to non-researchers, demonstrating your ability to simplify and persuade.
š Enhancement Note: Given the emphasis on quantitative research and the AI screening, candidates should ensure their application materials and portfolio clearly highlight their strengths in statistical analysis, survey design, and delivering measurable impact.
š Tools & Technology Stack
Primary Tools:
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Survey Platforms: Expertise in tools like Qualtrics, SurveyMonkey, Google Forms, Typeform, or similar for designing, deploying, and managing large-scale surveys.
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Statistical Analysis Software: Proficiency in tools such as R, Python (with libraries like Pandas, SciPy, Statsmodels), SPSS, or SAS for quantitative data analysis.
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Data Visualization Tools: Experience with tools like Tableau, Power BI, Looker, or libraries within R/Python (e.g., ggplot2, Matplotlib, Seaborn) for creating insightful charts and dashboards.
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Qualitative Research Tools: Familiarity with tools for running interviews (Zoom, Google Meet), diary studies, and potentially qualitative analysis software (e.g., Dovetail, NVivo).
Analytics & Reporting:
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Web Analytics: Experience with tools like Google Analytics or Adobe Analytics to understand user behavior on digital platforms.
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BI Tools: Exposure to Business Intelligence platforms for broader data analysis and reporting.
CRM & Automation:
- While not primary, familiarity with CRM systems (e.g., Salesforce) or marketing automation platforms can be helpful for understanding user segmentation and campaign impact.
š Enhancement Note: A strong foundation in statistical analysis and survey platforms is critical. Proficiency in at least one statistical programming language or dedicated analysis software is highly desirable for this quantitative-heavy role.
š„ Team Culture & Values
Operations Values:
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Data-Driven Excellence: A commitment to using rigorous data analysis and statistical methods to guide decisions and measure impact.
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User Advocacy: A deep understanding of and empathy for users, ensuring their needs and behaviors are central to product development.
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Collaboration & Transparency: Open communication and a willingness to share findings, methodologies, and insights across teams and time zones.
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Impact & Mission: A shared dedication to the company's mission of enhancing global knowledge access, driving research efforts towards meaningful contributions.
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Efficiency & Agility: A focus on streamlined research operations and the ability to adapt methodologies to deliver timely insights.
Collaboration Style:
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Cross-functional Integration: Researchers are expected to be embedded within product teams, working closely with PMs and Designers.
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Asynchronous Communication: Mastery of clear, concise written communication for effective collaboration across distributed teams and time zones.
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Knowledge Sharing: A culture that encourages sharing best practices, learnings, and research findings to foster collective growth and efficiency.
š Enhancement Note: The culture emphasizes a blend of analytical rigor, user empathy, and collaborative execution within a remote, global framework. Researchers who thrive in data-intensive environments and enjoy contributing to a significant mission will find this appealing.
ā” Challenges & Growth Opportunities
Challenges:
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Working with Large, Diverse Datasets: Effectively managing and analyzing data from millions of global users, requiring robust statistical approaches and efficient tooling.
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Balancing Quantitative and Qualitative Insights: Integrating diverse data types to form a holistic understanding of user needs and behaviors.
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Remote Collaboration Across Time Zones: Ensuring effective communication, project alignment, and team cohesion in a distributed, asynchronous environment.
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Translating Complex Findings: Articulating intricate statistical results and research nuances into accessible, actionable insights for non-expert stakeholders.
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Navigating a Mature Product Ecosystem: Understanding the existing user base and product architecture to conduct research that drives meaningful evolution rather than disruption.
Learning & Development Opportunities:
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Advanced Quantitative Methodologies: Opportunity to refine skills in statistical modeling, experimental design, and advanced survey analysis.
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Global User Research: Gain extensive experience researching diverse international user demographics and cultural contexts.
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Product Strategy Influence: Develop stronger capabilities in shaping product roadmaps and influencing strategic decisions based on research outcomes.
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Mentorship & Knowledge Sharing: Learn from experienced researchers and contribute to the growth of the UX research practice through sharing expertise.
š Enhancement Note: The role presents challenges that are common in large-scale tech environments but also offers significant opportunities for professional growth, particularly in quantitative research and strategic product influence.
š” Interview Preparation
Strategy Questions:
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"Describe a complex research problem you solved using quantitative methods. What was your approach, what challenges did you face, and what was the impact?" (Focus on statistical rigor, methodology, and outcome).
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"How would you design a large-scale survey to understand user engagement drivers for a knowledge platform? What metrics would you track?" (Demonstrate survey design principles and understanding of relevant metrics).
Company & Culture Questions:
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"What interests you about researching a global knowledge platform and contributing to its mission?" (Align your passion with the company's purpose).
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"How do you approach asynchronous communication and collaboration in a remote, globally distributed team?" (Highlight your remote work best practices).
Portfolio Presentation Strategy:
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Structure: For each case study, clearly present: Problem/Opportunity -> Research Questions -> Methodology -> Participants -> Key Findings (with data visualization) -> Actionable Recommendations -> Impact/Outcome.
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Quantify Everything: Emphasize metrics, sample sizes, statistical significance, and any measurable business impact.
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Tell a Story: Frame your research as a narrative that highlights your problem-solving skills and strategic thinking.
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Be Prepared for Deep Dives: Anticipate questions about specific statistical tests, survey design choices, and how you handled potential biases.
š Enhancement Note: Preparation should focus on showcasing a strong quantitative toolkit, the ability to translate data into strategy, and effective remote collaboration skills. The portfolio is key ā be ready to discuss it in detail.
š Application Steps
To apply for this operations position:
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Submit your application through the Jobgether platform link.
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Tailor Your Resume: Highlight your 5+ years of experience in UX Research, specifically emphasizing your expertise in quantitative methodologies, statistical analysis, survey design, and large-scale studies. Use keywords from the job description.
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Curate Your Portfolio: Select 2-3 of your most impactful quantitative research case studies. Ensure they clearly demonstrate your process, analytical rigor, and the tangible outcomes of your work. Be ready to present these and discuss your methodology in detail.
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Prepare for Remote Collaboration Questions: Think about specific examples of how you've successfully collaborated with remote teams across different time zones and how you manage asynchronous communication effectively.
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Research the Partner Company (if possible): While not explicitly provided, try to gather any available information about the partner company and its knowledge platform to tailor your responses and demonstrate genuine interest.
ā ļø 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.
Application Requirements
Requires 5+ years of UX research experience with a strong focus on quantitative methodologies. Candidates must possess expertise in statistical analysis, survey design, and independent project leadership.