UX Researcher

Framna
Full-time€3,200-4,600/month (EUR)Zwolle, Netherlands

📍 Job Overview

Job Title: UX Researcher

Company: Framna

Location: Amsterdam, North Holland, Netherlands; Zwolle, Overijssel, Netherlands

Job Type: Full-time

Category: Product Operations / Data Analysis / UX Research

Date Posted: September 08, 2026

Experience Level: Mid-level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

  • Drive product decisions through evidence-based insights, reducing reliance on assumptions and fostering a data-informed culture.

  • Collaborate with multidisciplinary teams to translate business needs into measurable product outcomes and impactful user experiences.

  • Own the end-to-end product research lifecycle, from hypothesis definition and experimentation to data analysis and actionable recommendations.

  • Contribute to the continuous improvement of Framna's internal product research and experimentation methodologies.

📝 Enhancement Note: While the title is "UX Researcher," the responsibilities and required skills clearly indicate a strong focus on product analytics, data interpretation, and hypothesis validation within a product development context. This role bridges traditional UX research with data science and product operations, emphasizing measurable impact and data-driven decision-making. The "Category" has been broadened to reflect this blend.

📈 Primary Responsibilities

  • Formulate and refine research questions and testable hypotheses in collaboration with the Senior Product Researcher.

  • Actively participate in product alignment sessions to define success metrics and Key Performance Indicators (KPIs).

  • Utilize prioritization frameworks like RICE to guide scope discussions from opinion-based to evidence-based.

  • Oversee tracking implementation (e.g., GA4, Firebase, GTM) in conjunction with development teams.

  • Write and execute SQL queries in BigQuery for data extraction, funnel analysis, and cohort analysis.

  • Design, conduct, and analyze A/B tests and user research studies based on clearly defined hypotheses.

  • Develop and maintain user-friendly dashboards in Looker Studio for teams and external partners.

  • Translate research findings into compelling narratives, clear conclusions, and actionable recommendations.

  • Ensure that new features are delivered with measurable outcomes and that learnings are integrated back into the team's processes.

  • Contribute to the ongoing development and refinement of Framna's internal product research and experimentation frameworks.

📝 Enhancement Note: The responsibilities highlight a proactive and integrated approach to product development, where research is not an isolated activity but a core component of the entire product lifecycle. The emphasis on SQL, BigQuery, GA4, and Looker Studio points to a deep dive into data analysis and reporting for product optimization.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline is highly beneficial for interpreting complex data and research findings.

Experience: 2 to 5 years of experience in product research, digital analytics, or a comparable data-driven product role.

Required Skills:

  • Proficiency in digital analytics platforms such as Google Analytics 4 (GA4) or Firebase.

  • Strong command of BigQuery for data manipulation and analysis.

  • Expertise in data visualization tools like Looker Studio for creating actionable dashboards.

  • Fluency in SQL for data extraction, funnel analysis, and cohort analysis.

  • Proven ability to independently design, set up, and interpret A/B tests.

  • Solid understanding of statistical principles, including significance, statistical power, and sample size calculation.

  • Demonstrated hypothesis-driven approach to problem-solving and product development.

  • Excellent data storytelling skills, with the ability to translate complex analyses into clear conclusions and concrete next steps.

  • Confidence in providing constructive dissent when research findings contradict prevailing assumptions.

  • Pragmatic approach to work, prioritizing effective decision-making based on solid evidence over exhaustive but impractical analysis.

  • Fluency in spoken Dutch. Preferred Skills:

  • Experience with Google Tag Manager (GTM).

  • Familiarity with server-side tracking implementation.

  • Experience with Python, particularly libraries like Pandas, Scipy, or Statsmodels, for advanced statistical analysis.

📝 Enhancement Note: The "Required Skills" section has been expanded to include specific tool proficiencies and analytical methodologies mentioned in the job description. The "Education" section infers a preferred background based on the quantitative nature of the role. The explicit mention of spoken Dutch and the absence of visa sponsorship are critical requirements.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase of data analysis projects demonstrating proficiency in SQL, BigQuery, and GA4/Firebase.

  • Examples of A/B tests designed, executed, and analyzed, with clear articulation of hypotheses, methodologies, and outcomes.

  • Case studies illustrating the creation of impactful dashboards in Looker Studio that have driven product decisions or team understanding.

  • Demonstrations of how research insights have directly influenced product strategy or feature development, highlighting the measurable impact. Process Documentation:

  • Examples of how you've translated business questions into clear research hypotheses and testable plans.

  • Documentation of your approach to implementing tracking and ensuring data integrity for product experiments.

  • Case studies detailing your methods for synthesizing complex data into actionable recommendations and compelling stories for stakeholders.

📝 Enhancement Note: This section is crucial for a role emphasizing data-driven impact. The portfolio should not just list skills but demonstrate their application in a tangible, results-oriented manner, aligning with Framna's "win by product" philosophy.

💵 Compensation & Benefits

Salary Range: €3,200 - €4,600 gross per month, depending on experience.

Benefits:

  • Pension contribution: 67% of your contribution covered by Framna.

  • Vacation days: 27 days per year, with options to buy or sell additional days.

  • Commuting allowance for travel to and from the studio.

  • Work from home allowance to support remote work setups.

  • Company-provided MacBook and mobile phone.

  • Daily lunch provided at the studio.

  • Personal coaching and mentorship from the Senior Product Researcher.

  • Clear development path towards a Senior level position.

Working Hours: Standard full-time working hours, likely aligning with typical Dutch business hours (e.g., 40 hours per week), with flexibility for hybrid work arrangements.

📝 Enhancement Note: The salary range and benefits are directly extracted from the job description. The working hours are inferred based on the "Full-time" employment type and typical Dutch work culture. The pension contribution is specified as 67% of the employee's contribution, which is a common way to structure company pension plans.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Product Development / Tech Consulting. Framna operates within the technology sector, specializing in building digital products for market leaders and ambitious organizations. Their focus is on "win by product," meaning their success is tied to the tangible impact and growth their digital solutions deliver.

Company Size: Hundreds of colleagues spread across multiple studios in Europe and beyond. This suggests a medium to large-sized organization with established processes but likely retaining a dynamic, growth-oriented culture.

Founded: The founding date is not specified, but the company's mission and scale imply a mature organization with a proven track record in digital product creation.

Team Structure:

  • The UX Researcher will join a growing "product discipline" focused on research, experimentation, and measurability.

  • They will work directly with a Senior Product Researcher who will provide coaching and serve as a technical sparring partner.

  • This role operates within multidisciplinary teams, collaborating closely with Product Owners, Designers, and Developers.

  • The company has studios across Europe and beyond, indicating a potentially international and diverse workforce. Methodology:

  • Data-Driven Decision Making: Emphasis on evidence and validated insights over assumptions.

  • Hypothesis-Driven Development: Rigorous testing of product ideas and features.

  • Measurable Impact: Focus on delivering tangible business value and KPIs.

  • Collaborative Product Development: Cross-functional teamwork is central to their approach.

  • Continuous Improvement: Dedicated to refining internal research and experimentation practices.

Company Website: https://careers.framna.com

📝 Enhancement Note: Information about Framna's culture, size, and methodology is synthesized from the provided description. The "win by product" philosophy is highlighted as a key cultural driver. The "Methodology" section elaborates on the core operational principles derived from the text.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-level UX Researcher, requiring 2-5 years of experience. It offers a direct path for growth within the product research and analytics domain.

Reporting Structure: The UX Researcher will report to or work closely with a Senior Product Researcher, who will provide direct mentorship and guidance. They will also be embedded within multidisciplinary product teams, collaborating with Product Owners and Designers.

Operations Impact: The role's core function is to ensure that product decisions are grounded in data and validated insights, directly influencing the success and market impact of digital products. This research directly informs product strategy, feature prioritization, and the overall effectiveness of the product development lifecycle.

Growth Opportunities:

  • Skill Specialization: Deepen expertise in quantitative research methodologies, advanced analytics tools (BigQuery, GA4), and experimentation design.

  • Career Progression: A clear development path is offered towards a Senior UX Researcher or Product Analyst role, with opportunities to take on more complex projects and lead research initiatives.

  • Mentorship: Direct coaching from a Senior Product Researcher provides a structured learning environment for advancing technical and strategic skills.

  • Cross-Functional Exposure: Working across various industries (aviation, retail, healthcare, finance) offers broad exposure to different business challenges and product contexts.

  • Methodology Development: Opportunity to contribute to and refine Framna's internal research and experimentation frameworks.

📝 Enhancement Note: The growth opportunities are tailored to the role's mid-level positioning and Framna's emphasis on learning and development, particularly through mentorship and a defined career path.

🌐 Work Environment

Office Type: Framna operates multiple studios, suggesting a modern office environment designed for collaboration. The provision of daily lunch indicates a focus on creating a comfortable and engaging on-site experience.

Office Location(s):

  • Amsterdam, North Holland, Netherlands

  • Zwolle, Overijssel, Netherlands Workspace Context:

  • Collaborative Spaces: The multidisciplinary team structure implies a workspace that encourages interaction, brainstorming, and knowledge sharing among researchers, designers, developers, and product owners.

  • Technology-Rich: Access to a MacBook and phone, along with the expectation to use advanced analytics and data tools (BigQuery, Looker Studio, GA4), means the environment is well-equipped with necessary technology.

  • Hybrid Model: The role is hybrid, allowing for a balance between focused individual work at home and collaborative, in-person engagement at the studio.

Work Schedule: Full-time employment with a hybrid work arrangement. This likely involves a set number of days per week in the office, with the remainder spent working remotely, offering flexibility for data analysis and individual research tasks.

📝 Enhancement Note: The work environment is described based on the company's studio model, hybrid work policy, and the tools provided, emphasizing collaboration and technological readiness.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Contact: A brief online introduction with Léon from recruitment within five business days of application.

  • Technical Interview: An in-person (or virtual, if necessary) interview at one of the studios with the Senior Product Researcher, focusing on technical skills, research methodologies, and case study discussions.

  • Final Interview/Offer: If both parties remain enthusiastic, a job offer will be extended.

Portfolio Review Tips:

  • Quantify Impact: For each project, clearly articulate the problem, your approach, the metrics used (e.g., conversion rate uplift, user engagement increase), and the quantifiable business impact achieved.

  • Showcase Tool Proficiency: Include examples demonstrating your skills in SQL, BigQuery, GA4, Firebase, and Looker Studio. Show how you've used these tools for analysis, reporting, and hypothesis validation.

  • Highlight A/B Testing Expertise: Present case studies of A/B tests, detailing the hypothesis, experimental design, statistical analysis, and the resulting learnings or product changes.

  • Data Storytelling: Prepare to walk through your analyses and present findings in a clear, concise, and compelling narrative. Focus on translating data into actionable recommendations that stakeholders can easily understand and act upon.

  • Hypothesis-Driven Approach: Clearly outline the hypotheses you've tested and how your research validated or invalidated them, linking back to business objectives.

Challenge Preparation:

  • Data Interpretation: Be prepared to analyze a dataset or a hypothetical product scenario and provide insights and recommendations. Practice writing SQL queries for common analysis types (funnel, cohort).

  • Experiment Design: Expect questions about how you would design an A/B test for a specific product feature or business question.

  • Stakeholder Communication: Practice articulating technical findings to a non-technical audience and defending your research-based recommendations.

📝 Enhancement Note: The interview process is detailed as described. The portfolio and challenge preparation sections offer specific advice tailored to the role's emphasis on data analysis, experimentation, and impact measurement, drawing from the required skills and responsibilities.

🛠 Tools & Technology Stack

Primary Tools:

  • Google Analytics 4 (GA4) / Firebase: For website and application event tracking, user behavior analysis, and conversion monitoring.

  • BigQuery: For large-scale data warehousing, complex querying, and advanced data analysis.

  • Looker Studio (formerly Google Data Studio): For creating interactive, shareable dashboards and reports to visualize key product metrics.

  • Google Tag Manager (GTM): (Preferred) For managing website tags and tracking implementation efficiently.

Analytics & Reporting:

  • SQL: Essential for data extraction, transformation, and in-depth analysis within BigQuery.

  • Statistical Analysis Software: (Preferred, e.g., Python libraries like Pandas, Scipy, Statsmodels) for more advanced statistical modeling and deep-dive analysis.

CRM & Automation: While not explicitly mentioned as primary tools for this role, understanding CRM principles and how analytics data might feed into customer segmentation or marketing automation is beneficial.

📝 Enhancement Note: This section lists the specific tools mentioned in the job description, categorizing them by their function within the product research and analytics workflow. The "Preferred" tools are clearly marked.

👥 Team Culture & Values

Operations Values:

  • Evidence-Based Decision Making: A core value is to rely on data and validated insights rather than assumptions for all product decisions.

  • Impact-Oriented: The company's "win by product" philosophy means a strong focus on delivering tangible business results and measurable growth.

  • Curiosity & Pragmatism: A desire to understand the "why" behind user behavior and business outcomes, coupled with a practical approach to delivering actionable insights quickly.

  • Collaboration & Openness: Working in multidisciplinary teams requires open communication, willingness to share findings, and constructive feedback exchange.

  • Continuous Learning: Commitment to refining methodologies and staying current with best practices in product research and experimentation.

Collaboration Style:

  • Cross-functional Integration: The UX Researcher will be an integral part of product teams, working closely with Product Owners, Designers, and Developers.

  • Mentorship-Driven: Direct guidance and collaboration with the Senior Product Researcher will foster skill development and best practice sharing.

  • Data-Informed Discussions: Facilitating discussions where data and research findings are central to decision-making processes.

  • Feedback Culture: Encouraging a culture where insights are shared freely and constructive feedback on research and product development is welcomed.

📝 Enhancement Note: These values and collaboration styles are inferred from Framna's stated mission, the role's responsibilities, and the emphasis on teamwork and data-driven approaches.

⚡ Challenges & Growth Opportunities

Challenges:

  • Translating Ambiguity: Converting broad business questions into clear, testable research hypotheses can be challenging. Developing strategies to deconstruct complex problems is key.

  • Data Integration & Quality: Ensuring accurate tracking implementation and managing data from various sources can present technical hurdles. Understanding data pipelines and validation is important.

  • Driving Adoption of Insights: The greatest challenge is often ensuring that research findings lead to actual product changes and impact. Developing strong data storytelling and stakeholder influence skills is critical.

  • Balancing Depth and Speed: The need for rigorous research must be balanced with the fast-paced nature of product development. Learning to prioritize and deliver timely, actionable insights is crucial.

Learning & Development Opportunities:

  • Advanced Analytics & Experimentation: Opportunities to master tools like BigQuery and advanced statistical techniques, and to design sophisticated A/B tests.

  • Product Strategy Influence: Gaining experience in shaping product roadmaps and strategies through data-driven recommendations.

  • Mentorship: Direct professional guidance from a Senior Product Researcher for skill enhancement and career development.

  • Industry Exposure: Working across diverse sectors provides a broad understanding of different market dynamics and user needs.

  • Methodology Contribution: The chance to contribute to and evolve Framna's internal best practices for product research and experimentation.

📝 Enhancement Note: Challenges are framed around common issues in product research and data roles, with an emphasis on skill development. Growth opportunities are linked to Framna's specific offerings and the nature of the role.

💡 Interview Preparation

Strategy Questions:

  • Product Strategy & Methodology: "How would you approach understanding user drop-off in our checkout process?" or "Describe a time you used data to influence a product decision. What was the outcome?" Be ready to discuss your process for hypothesis generation, experiment design, and data interpretation.

  • Collaboration & Stakeholder Management: "How do you ensure buy-in from Product Owners and Developers for your research recommendations?" or "Describe a situation where your research findings conflicted with a stakeholder's opinion. How did you handle it?" Prepare examples of effective communication and persuasion.

  • Problem-Solving: "Imagine we want to increase user engagement on our mobile app by 15%. What steps would you take to investigate this?" Focus on demonstrating your structured, data-driven approach.

Company & Culture Questions:

  • Company Operations Culture: "What do you know about Framna's 'win by product' philosophy, and how does your work as a UX Researcher support it?" Research Framna's website and mission statement.

  • Operations Team Dynamics: "How do you see yourself contributing to a multidisciplinary product team?" Be prepared to discuss your preferred collaboration style and how you integrate research into agile workflows.

  • Operations Impact Measurement: "How do you measure the success of your research initiatives beyond just delivering a report?" Focus on demonstrating how you track the impact of your insights on product metrics and business outcomes.

Portfolio Presentation Strategy:

  • Structure: Organize your portfolio by project, clearly outlining the business problem, your research objectives, methodology, key findings, and the resulting impact (quantified where possible).

  • Data Storytelling: Practice presenting your case studies concisely, focusing on the narrative arc: problem, solution (your research), and outcome. Use visuals (charts, dashboards) effectively.

  • Tool Demonstration: Be ready to briefly explain or demonstrate your proficiency with tools like SQL, BigQuery, and Looker Studio within the context of your projects.

  • Highlight Hypothesis Validation: Emphasize how your work was driven by specific hypotheses and how you validated or invalidated them with data.

  • Company Alignment: Tailor your presentation to Framna's focus on measurable impact and hypothesis-driven development.

📝 Enhancement Note: These interview questions and preparation tips are designed to align with the specific skills, responsibilities, and company culture outlined in the job description, providing actionable advice for candidates.

📌 Application Steps

To apply for this UX Researcher position:

  • Submit your application through the provided link on the Framna careers website.

  • Portfolio Customization: Curate your portfolio to highlight projects demonstrating your expertise in product analytics, A/B testing, SQL, BigQuery, GA4, and Looker Studio. Focus on case studies where your research led to measurable product improvements or strategic shifts.

  • Resume Optimization: Ensure your resume clearly articulates your 2-5 years of experience in relevant roles, using keywords from the job description such as "UX Researcher," "Product Research," "Digital Analytics," "SQL," "A/B Testing," and "Data Storytelling." Quantify achievements wherever possible.

  • Interview Preparation: Practice articulating your research process, data analysis techniques, and how you translate insights into actionable recommendations. Prepare specific examples for behavioral questions related to collaboration and problem-solving.

  • Company Research: Familiarize yourself with Framna's "win by product" philosophy, their industry focus, and their commitment to data-driven product development. Understand their studio locations and hybrid work model.

⚠️ 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

The ideal candidate has 2 to 5 years of experience in product research or digital analytics and is proficient in SQL, GA4, and BigQuery. Strong data storytelling skills and the ability to work in a hypothesis-driven manner are essential for this role.