UX Researcher, Quantitative Analysis

📍 Job Overview

Job Title: UX Researcher, Quantitative Analysis

Company: Roku

Location: San Jose, California

Job Type: Full-time

Category: User Experience Research / Data Analysis

Date Posted: March 18, 2026

Experience Level: Mid-Level (3-5 years)

Remote Status: Hybrid

🚀 Role Summary

• This role is a critical component of the UX Research team, focusing on quantitative analysis and customer sentiment research to inform product development and feature optimization.

• The position requires a deep understanding of experimental designs, particularly A/B testing, and the ability to integrate survey data with behavioral analytics for comprehensive insights.

• Key responsibilities include developing and executing research initiatives, collaborating closely with cross-functional partners (Product Management, Data Analytics, Engineering, Design), and presenting actionable findings to diverse stakeholder audiences.

• This role offers the opportunity to significantly impact products used by millions of customers worldwide and to contribute to strategic decision-making processes.

📝 Enhancement Note: While the title is "UX Researcher," the core responsibilities and required skills heavily lean into quantitative analysis, survey design, and experimental A/B testing, aligning it closely with a "Quantitative UX Researcher" or "Product Analyst" with a strong research component. The emphasis on integrating sentiment with behavioral data and optimizing research processes points towards a role focused on operationalizing research for product decision-making within a large tech company.

📈 Primary Responsibilities

• Develop, plan, and execute research initiatives focused on understanding factors impacting product and feature sentiment, primarily within the context of experimental A/B tests.

• Actively collaborate on the design and methodology of experimental A/B tests to ensure robust data collection and meaningful insights.

• Work closely with Product Managers, Data Analysts, and other stakeholders to identify key problems and business goals that research initiatives will address.

• Collect and analyze user sentiment data through surveys, and collaborate with teams to integrate these findings with behavioral data for holistic product decision-making.

• Present research insights effectively to diverse stakeholder audiences through comprehensive written reports and engaging live presentations.

• Understand and articulate the strengths and weaknesses of various experimental designs, research approaches, and study findings to different audiences.

• Optimize and automate repetitive research processes to enhance efficiency and scale the sentiment survey program.

• Conduct other quantitative research, potentially including ongoing tracker surveys, to deepen understanding of customer needs, pain points, and overall experience.

• Collaborate with international UX researchers and the Director of UX Research to share best practices and contribute to a global research strategy.

📝 Enhancement Note: The responsibilities emphasize a blend of direct research execution and operational process improvement. The focus on A/B test alignment, sentiment-behavioral data integration, and process automation suggests a need for an operations-minded researcher who can not only conduct studies but also ensure the research function is efficient and scalable.

🎓 Skills & Qualifications

Education:

Experience:

• 3-5 years of expertise as a consumer researcher in an industry setting, with a strong focus on quantitative methodologies.

Required Skills:

• Proficient in survey design, quantitative analysis, and experimental design principles.

• Skilled in collaborating effectively with cross-functional teams, including Data Analysts and fellow UX Researchers, to integrate data and generate comprehensive reports.

• Confident in providing recommendations and influencing experimental designs and product decisions.

• Strong communication, presentation, interpersonal, and analytical skills.

• Persuasive presentation abilities, capable of reporting both qualitative and quantitative data to various audiences.

• Excellent project management skills, with the ability to define, plan, and execute projects across diverse product areas.

• Ability to manage timely communication and collaboration across multiple time zones.

• Experience leveraging AI tools and techniques to streamline research processes and deliverables.

Preferred Skills:

• Experience with advanced survey and analysis techniques such as MaxDiff, Conjoint analysis, etc.

• Familiarity with qualitative UX research methods, enabling versatility across different project types.

📝 Enhancement Note: The "3-5 years of expertise" and the specific degree fields indicate a mid-level role. The emphasis on influencing experiments and making recommendations suggests a need for someone who can translate data into actionable business insights and advocate for user needs effectively. The inclusion of AI leverage points to a forward-thinking approach to research operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrable experience in designing and executing quantitative research studies, particularly surveys and experiments.

• Case studies showcasing the ability to integrate survey data with behavioral analytics to drive product decisions.

• Examples of research deliverables, including reports and presentations, that clearly articulate insights and recommendations to diverse audiences.

Process Documentation:

• Showcase projects where you have defined research plans, outlined methodologies, and documented findings and impact.

• Examples of how you have collaborated with product teams to align research objectives with business goals and experimental designs.

• Presentation materials that highlight your ability to communicate complex quantitative findings clearly and persuasively.

📝 Enhancement Note: For a Quantitative UX Researcher, the portfolio should heavily feature examples of research impact. This includes showing how their quantitative insights led to specific product improvements, feature optimizations, or successful A/B test outcomes. Metrics demonstrating increased user satisfaction, conversion rates, or engagement driven by their research are crucial.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Health insurance (medical, dental, and vision)

• Equity awards

• Life insurance

• Disability benefits

• Parental leave

• Wellness benefits

• Paid time off

• Global access to mental health and financial wellness support and resources.

Working Hours:

• Standard full-time hours, likely around 40 hours per week, with flexibility for collaboration across time zones.

📝 Enhancement Note: The salary range provided is specific to California, reflecting the cost of living and market rates in that region for a mid-level researcher role. The benefits package is comprehensive, typical for a large tech company, and supports a holistic employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Streaming Media / Consumer Electronics. Roku is a leading player in the TV streaming platform market, connecting consumers, content publishers, and advertisers.

Company Size: Roku is a large, publicly traded company with a significant global presence. This implies established processes, opportunities for scale, and potential for cross-functional impact.

Founded: 2002. With over two decades of operation, Roku has a history of innovation and market leadership in the streaming space.

Team Structure:

• The UX Research team is part of the broader product development organization, working closely with Product Management, Data Analytics, Engineering, and Design.

• This specific role will collaborate with multiple cross-functional partners and also with fellow researchers internationally, reporting to the Director of UX Research.

Methodology:

• The team emphasizes a data-driven approach, using both quantitative (surveys, A/B tests, behavioral data) and potentially qualitative methods to understand user needs.

• There's a clear focus on operationalizing research, with an emphasis on optimizing and automating repetitive processes to ensure scalability and efficiency.

• Collaboration is key, with a strong need to synthesize findings from different data sources and present them in a way that informs strategic product decisions.

Company Website: https://www.weareroku.com/

📝 Enhancement Note: Roku's culture is described as fast-paced, collaborative, and focused on impact. The emphasis on "few talented folks doing more for less cost" suggests efficiency and high performance are valued. The "pragmatic approach to innovation" aligns with the operational focus of this role.

📈 Career & Growth Analysis

Operations Career Level: This is a Mid-Level Quantitative UX Researcher position. It requires a solid foundation in research methodologies and analytical skills, with the expectation of independent execution and contribution to strategic discussions. The role is suitable for individuals looking to deepen their expertise in quantitative research within a product development context.

Reporting Structure: The role reports to the Director of UX Research and involves close collaboration with Product Managers, Data Analysts, Engineering, and Design teams. This structure facilitates direct access to decision-makers and diverse project exposure.

Operations Impact: The research conducted in this role directly influences product development decisions, feature prioritization, and the overall customer experience. By analyzing sentiment and combining it with behavioral data, the researcher helps ensure that products are user-centric, commercially viable, and aligned with Roku's business goals, thereby impacting revenue and user engagement.

Growth Opportunities:

• Specialization: Deepen expertise in advanced quantitative research techniques (e.g., MaxDiff, Conjoint) and statistical modeling.

• Leadership: Potential to lead research initiatives, mentor junior researchers, and influence research strategy within product teams.

• Cross-functional Expansion: Gain broader exposure to different product areas and business units within Roku, potentially leading to roles in product management or data science.

• Process Improvement: Opportunity to drive significant improvements in research operations and automation, becoming a subject matter expert in scalable research.

📝 Enhancement Note: The growth path here is about becoming a more senior quantitative researcher, potentially leading larger studies, influencing product strategy more broadly, or specializing in complex analytical methodologies and research operations.

🌐 Work Environment

Office Type: Roku operates a hybrid work model, requiring employees to be in the office Monday through Thursday, with Fridays being flexible for remote work. This setup balances in-person collaboration with individual focus time.

Office Location(s): The role is based in San Jose, California. Specific office details and amenities would be available upon inquiry or during the interview process.

Workspace Context:

• The San Jose office likely provides a collaborative environment conducive to cross-functional teamwork, essential for this role.

• Access to necessary tools, technology, and data infrastructure will be provided to support research activities.

• Opportunities for direct interaction with product teams, designers, and data analysts will be frequent, fostering a dynamic and integrated work experience.

Work Schedule: While standard full-time hours are expected (approx. 40 hours/week), the hybrid model and international collaboration requirements suggest a degree of flexibility may be available, particularly around managing communication across different time zones.

📝 Enhancement Note: The hybrid model with 4 days in the office emphasizes the company's value for in-person collaboration, crucial for aligning research efforts with product and design teams. This structure requires individuals to be comfortable with both remote work and in-office engagement.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review your application and conduct a brief screening call to assess basic qualifications and cultural fit.

• Hiring Manager Interview: Expect an interview with the Hiring Manager (Margret Schmidt) to discuss your experience, research philosophy, and fit with the team's objectives.

• Technical/Skills Interview: This stage will likely involve a deeper dive into your quantitative research skills, survey design expertise, statistical analysis capabilities, and experience with A/B testing. You may be asked to discuss specific projects or solve hypothetical problems.

• Portfolio Presentation: A significant part of the process will involve presenting a portfolio of your work. This is where you'll showcase your quantitative research projects, highlighting your methodology, findings, and impact on product decisions. Be prepared to discuss how you integrated sentiment and behavioral data.

• Cross-functional Stakeholder Interviews: You may meet with Product Managers, Data Analysts, or Designers to assess your collaboration skills and ability to communicate effectively with diverse audiences.

• Final Interview: Potentially a final interview with a senior leader or Director to discuss strategic thinking and overall fit.

Portfolio Review Tips:

• Quantify Impact: For each portfolio piece, clearly articulate the problem addressed, your methodology, key findings, and the measurable impact of your research on product decisions or business outcomes (e.g., improved conversion rates, increased user satisfaction).

• Showcase A/B Test Integration: Highlight projects where your research directly informed or was integrated with A/B tests. Explain how you combined sentiment data with behavioral metrics.

• Demonstrate Process Optimization: If you have examples of automating research tasks or improving research workflows, present these clearly.

• Tailor Your Presentation: Understand Roku's products and user base. Frame your experience and case studies in a way that demonstrates relevance to their business.

• Prepare for Diverse Audiences: Practice presenting complex quantitative findings in a clear, concise, and actionable manner that resonates with both technical and non-technical stakeholders.

Challenge Preparation:

• Be ready for a potential practical exercise or case study related to survey design, data analysis, or interpreting A/B test results.

• Practice articulating your thought process for designing an experiment to answer a specific product question, or how you would analyze a given dataset to understand user sentiment.

• Prepare to discuss how you would approach optimizing a repetitive research process.

📝 Enhancement Note: The emphasis on A/B testing, sentiment analysis, and process optimization in the job description translates directly into interview expectations. Candidates should be prepared to demonstrate practical application of these skills and their ability to drive impact.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Experience with survey tools like Qualtrics, SurveyMonkey, Google Forms, or similar platforms for designing, deploying, and managing surveys.

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

• Data Visualization Tools: Familiarity with tools such as Tableau, Power BI, Looker, or Matplotlib/Seaborn in Python for creating compelling data visualizations.

Analytics & Reporting:

• Web Analytics: Experience with platforms like Google Analytics or Adobe Analytics, understanding how to interpret user behavior data.

• A/B Testing Platforms: Familiarity with A/B testing frameworks and tools used in product development.

• Business Intelligence (BI) Tools: Ability to work with BI platforms to extract and analyze data for reporting.

CRM & Automation:

• While not explicitly a CRM role, understanding how user data is managed and how research insights can feed into marketing or product automation processes is beneficial.

• Experience with AI tools for streamlining research processes, such as AI-powered survey analysis or report generation.

📝 Enhancement Note: The role's quantitative nature necessitates strong analytical tool proficiency. Roku's tech stack likely includes industry-standard tools for data analysis, visualization, and survey management. Experience with AI for research automation is a specific requirement that candidates should highlight.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using quantitative data and insights to inform product strategy and feature development.

• Customer Centricity: A commitment to understanding and advocating for the customer experience, even while balancing business objectives.

• Efficiency and Scalability: A drive to optimize research processes, automate tasks, and scale research operations to meet the demands of a large organization.

• Collaboration and Communication: A belief in the power of cross-functional teamwork and clear, persuasive communication of research findings.

• Impact and Results: A focus on delivering actionable insights that lead to tangible improvements in products and business outcomes.

Collaboration Style:

• Highly collaborative, working closely with Product Managers, Data Analysts, Designers, and Engineers.

• Proactive communication is essential, especially when working across multiple time zones.

• Openness to feedback and constructive critique of research designs and findings.

• A willingness to share knowledge and best practices within the research team and with other departments.

📝 Enhancement Note: The company's description highlights a culture of problem-solving, bold action, and collaboration. For this role, it means researchers are expected to be proactive, analytical, and effective communicators who can translate complex data into clear, actionable insights that drive business results.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Quantitative and Qualitative Insights: While this role is quantitative-focused, effectively integrating sentiment data with behavioral metrics and understanding when qualitative insights might be needed can be a challenge.

• Influencing Without Authority: Researchers often need to persuade stakeholders to adopt their recommendations, which requires strong communication and data storytelling skills.

• Navigating Complex Product Ecosystems: Roku's platform is extensive, requiring the ability to quickly understand different product areas and their respective user bases.

• Optimizing Research at Scale: Developing and maintaining efficient, scalable research processes that can support rapid product development cycles.

Learning & Development Opportunities:

• Advanced Analytics: Opportunity to master sophisticated statistical techniques and predictive modeling.

• AI in Research: Explore and implement AI tools to enhance research efficiency and effectiveness.

• Cross-functional Expertise: Gain deep understanding of product management, data analytics, and design processes within the tech industry.

• Industry Leadership: Contribute to Roku's reputation as a leader in user experience and data-driven product development.

• Mentorship: Learn from experienced researchers and potentially mentor junior team members as you grow.

📝 Enhancement Note: The challenges are typical for a mid-level researcher in a fast-paced tech environment, requiring adaptability and strong interpersonal skills. The growth opportunities are geared towards developing specialized analytical expertise and leadership capabilities within the UX research domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used quantitative research to inform a significant product decision. What was the problem, your approach, the findings, and the outcome?" (Focus on A/B test integration and sentiment/behavioral data).

• "How would you design a customer sentiment survey to measure the impact of a new feature in our streaming app?" (Prepare to discuss survey design, sampling, metrics, and potential A/B test scenarios).

• "Imagine you've found conflicting results between your survey data and behavioral data. How would you investigate and reconcile these discrepancies?" (Demonstrate analytical problem-solving and data synthesis skills).

Company & Culture Questions:

• "What interests you about Roku and our mission to change how the world watches TV?" (Research Roku's products, market position, and recent news).

• "How do you handle collaboration with stakeholders who may have different priorities or interpretations of data?" (Emphasize your communication, persuasion, and negotiation skills).

• "Describe your experience working in a hybrid environment and collaborating across different time zones." (Be ready to discuss your strategies for effective remote and in-office collaboration).

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each project, follow a clear narrative: Problem -> Your Role -> Methodology -> Key Findings -> Recommendations -> Impact (quantified if possible).

• Focus on Quantitative Rigor: Clearly explain your statistical methods, survey design choices, and how you validated your findings.

• Illustrate Data Synthesis: Show how you combined survey sentiment with behavioral data or other metrics.

• Showcase Visualizations: Use charts and graphs effectively to present complex data in an understandable way.

• Be Ready for Deep Dives: Anticipate detailed questions about your methodology, statistical significance, and interpretation of results.

📝 Enhancement Note: Preparation should focus on demonstrating quantitative expertise, A/B testing acumen, and the ability to translate data into impactful product recommendations within Roku's specific context.

📌 Application Steps

To apply for this Quantitative UX Researcher position:

• Submit your application through the official Roku careers portal via the provided link.

• Tailor Your Resume: Highlight keywords from the job description such as "quantitative analysis," "survey design," "experimental design," "A/B testing," "customer sentiment," "data analysis," and "AI leverage." Quantify your achievements wherever possible (e.g., "Improved feature adoption by X% through targeted sentiment analysis").

• Prepare Your Portfolio: Curate 2-3 of your strongest quantitative research projects. Ensure they clearly demonstrate your skills in survey design, data analysis, A/B test integration, and presenting actionable insights. Be ready to walk through these projects in detail during interviews.

• Research Roku: Familiarize yourself with Roku's products, services, and recent developments. Understand their market position and how user experience research contributes to their success.

• Practice Your Pitch: Prepare a concise "elevator pitch" about your experience and why you're a great fit for this specific role at Roku, focusing on your quantitative skills and passion for understanding users.

⚠️ 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.

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