Principal Quantitative UX Researcher, Prime Video Experience Design (PVXD)

📍 Job Overview

Job Title: Principal Quantitative UX Researcher, Prime Video Experience Design (PVXD)

Company: Amazon

Location: London, England, United Kingdom

Job Type: Full-Time

Category: Quantitative UX Research / Experience Design

Date Posted: June 9, 2025

Experience Level: 10+ Years (Principal Level)

Remote Status: On-site

🎨 Role Summary

• Lead and execute complex quantitative UX research studies utilizing advanced statistical methods, contributing to the evolution of the Prime Video experience.
• Synthesize quantitative insights with qualitative data, behavioral analytics, and business metrics to build compelling, data-driven narratives that inform product and design strategy.
• Drive a culture of data-informed decision-making within the Prime Video Experience Design (PVXD) team and across cross-functional partners.
• Develop and implement innovative research methodologies and mechanisms to deepen understanding of customer behavior and preferences within the entertainment domain.

🖼️ Primary Responsibilities

• Independently design, plan, and execute end-to-end quantitative UX research projects, including complex survey design, sampling strategies, and advanced statistical analysis.
• Analyze and interpret large datasets, including survey responses, behavioral logs, and A/B testing results, identifying key user insights and patterns.
• Develop sophisticated statistical models and apply hypothesis testing to validate assumptions and quantify the impact of design and product decisions.
• Communicate research findings and recommendations clearly and persuasively to product managers, designers, engineers, and senior leadership through compelling presentations, reports, and data visualizations.
• Partner with qualitative researchers, data scientists, and product teams to triangulate findings from various data sources and ensure a holistic understanding of the user experience.
• Drive the strategic direction of the quantitative UX research roadmap for Prime Video, identifying high-impact research opportunities and evolving research practices.
• Mentor and guide other researchers within the team, contributing to the growth and development of quantitative research capabilities.
• Build and maintain strong relationships with stakeholders across different teams and levels to ensure research insights are effectively integrated into the product development lifecycle.
• Contribute to the development and maintenance of robust research infrastructure, tools, and best practices.

🎓 Skills & Qualifications

Education: PhD or MS in statistics, a quantitative field (e.g., economics, psychology, sociology, computer science with a quantitative focus), experimental psychology, or a related discipline from a reputable institution.

Experience: A minimum of 10 years of progressive industry experience leading quantitative research initiatives, specifically within a product development or user experience context. Demonstrated experience in developing and validating survey measures, applying quantitative methods to solve complex business problems, and influencing product strategy through research is essential. A strong portfolio showcasing impactful quantitative research projects and their influence on product outcomes is highly valued.

Required Skills:

• Expert proficiency in designing and executing quantitative research methodologies, including survey design, experimental design (A/B testing), quasi-experimental methods, and causal analysis.
• Advanced statistical modeling skills, including regression analysis, structural equation modeling, factor analysis, and hypothesis testing.
• Strong command of data analysis and statistical programming languages such as R or Python, with the ability to perform complex data manipulation and analysis.
• Proficiency in querying and manipulating large datasets using SQL.
• Experience with data visualization tools (e.g., Tableau, R Shiny, Python libraries like Matplotlib/Seaborn) to effectively communicate complex data insights.
• Demonstrated experience with survey sampling strategies, weighting techniques, and methods for handling nonresponse bias to ensure data representativeness.
• Exceptional written and verbal communication skills, with the ability to translate complex quantitative findings into clear, actionable recommendations for diverse audiences, including non-technical stakeholders and senior leadership.
• Proven ability to work independently, manage multiple projects simultaneously, and deliver high-quality research outputs under tight deadlines.

Preferred Skills:

• Experience collaborating effectively with qualitative researchers (e.g., ethnographers, human factors specialists) to integrate diverse research perspectives.
• Prior experience mentoring junior researchers and contributing to the development of research best practices and team capabilities.
• Familiarity with generative AI, Natural Language Processing (NLP), and their potential applications in quantitative research.
• Domain expertise within the streaming entertainment industry (e.g., video on demand, media consumption behavior) or e-commerce, understanding the unique challenges and user behaviors in these spaces.

🎨 Portfolio & Creative Requirements

Portfolio Essentials:

• Include detailed case studies of quantitative research projects you have led, clearly outlining the research question, methodology, data collection process, analytical approach, key findings, and the impact of the research on product or design decisions.
• Showcase your ability to translate complex statistical analyses into accessible and compelling narratives, using data visualizations and clear language.
• Demonstrate your proficiency in using statistical software (R, Python, etc.) and data visualization tools, potentially including code snippets or interactive dashboards where appropriate.
• Highlight projects where you successfully integrated quantitative insights with qualitative data or other sources (e.g., A/B test results, user logs) to form a comprehensive understanding of user behavior.

Process Documentation:

• For each case study, clearly document your research process, including how you defined the research objectives, selected the appropriate quantitative methods, designed the study (e.g., survey instrument design, sampling strategy), planned data collection, and approached data cleaning and analysis.
• Illustrate your approach to ensuring data quality, handling potential biases (e.g., nonresponse bias), and maintaining statistical rigor throughout the research lifecycle.
• Explain how you collaborated with stakeholders (product, design, engineering) at different stages of the research process, from initial planning to communicating findings and recommendations.

💵 Compensation & Benefits

Salary Range: Based on extensive research for Principal-level Quantitative UX Researcher roles in London, United Kingdom, with a minimum of 10 years of experience at a large, established technology company like Amazon, the estimated annual salary range is between £95,000 and £150,000. This range is an estimate and can vary based on the candidate's specific experience, skills, and negotiation. This estimate is based on publicly available salary data for similar roles in the London tech market and considers the cost of living and typical compensation structures for senior-level positions at major international corporations.

Benefits:

• Comprehensive healthcare coverage (medical, dental, vision) for the employee and dependents.
• Retirement savings plan (e.g., pension scheme) with company contributions.
• Generous paid time off (vacation, sick leave, holidays).
• Parental leave and support programs.
• Employee stock options or restricted stock units (RSUs) as part of the compensation package, aligning employee interests with company performance.
• Opportunities for professional development, including training, conferences, and access to learning resources.
• Employee discounts on Amazon products and services.
• Potential for relocation assistance if moving to London for the role.
• Wellness programs and resources to support physical and mental health.

Working Hours: While specific working hours are typically full-time (approximately 40 hours per week), Amazon's culture often emphasizes flexibility to manage work-life balance, particularly for senior roles. However, the on-site nature of this position in London implies a primary presence during standard business hours to facilitate collaboration with the local team. The nature of quantitative research may occasionally require flexibility for data collection or analysis across different time zones if collaborating with global teams.

🎯Team & Company Context

🏢 Company & Design Culture

Industry: Amazon operates across various industries, with this role specifically situated within the Digital Entertainment sector, focusing on streaming video (Prime Video). This industry is dynamic and highly competitive, driven by evolving consumer preferences, technological advancements, and content innovation. The design implications are significant, requiring a deep understanding of user behavior in a media consumption context, personalization, content discovery, and cross-platform experiences.

Company Size: Amazon is a global technology giant with over 10,000+ employees worldwide. For design professionals, working at a company of this size means operating within a complex organizational structure, often across multiple teams and product areas. It offers opportunities to work on products with massive scale and impact but also requires navigating a large, matrixed environment. The design organization within Amazon is likely substantial, with established processes and a focus on data-driven decision-making.

Founded: Founded in 1994, Amazon has a long history of innovation and disruption, initially in e-commerce and later expanding into cloud computing, digital entertainment, and various other sectors. This history suggests a culture that values long-term thinking, customer obsession, and a willingness to experiment and iterate.

Team Structure:

• The Principal Quantitative UX Researcher will be part of the Prime Video Experience Design (PVXD) team, which likely includes UX designers, researchers (both qualitative and quantitative), and potentially content strategists and design technologists.
• The team size and composition within PVXD will vary, but a Principal role suggests working within a relatively experienced and specialized team.
• Reporting structure will likely involve reporting to a research manager or director within the PVXD organization, potentially with opportunities to mentor more junior quantitative researchers.
• Cross-functional collaboration is critical, working closely with Product Management, Engineering, Data Science, and Marketing teams to ensure research insights are integrated into product development.

Methodology:

• The design process within Amazon likely follows a data-informed, iterative approach, incorporating user research at various stages of the product lifecycle.
• Quantitative research methods will be integral to understanding user behavior at scale, measuring the impact of design changes, and identifying areas for improvement.
• The team likely utilizes a combination of surveys, A/B testing, behavioral analytics, and potentially more advanced techniques like conjoint analysis or causal inference to understand user preferences and evaluate design effectiveness.

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

📈 Career & Growth Analysis

Design Career Level: This is a Principal-level role, which represents a senior individual contributor position within the UX research track. At this level, individuals are expected to lead significant research initiatives, influence strategic decisions, mentor others, and contribute to the advancement of research practices within the organization. The scope of responsibility is broad, often involving complex, ambiguous problems with high business impact.

Reporting Structure: A Principal Quantitative UX Researcher typically reports to a Research Manager or Director. They are expected to operate with a high degree of autonomy and provide guidance to more junior team members. The role likely involves collaborating closely with other Principal-level individuals and senior leaders within Product, Design, and Engineering.

Design Impact: As a Principal, your research will have a significant impact on the Prime Video product roadmap and the overall customer experience. You will be responsible for generating insights that inform strategic decisions, prioritize features, and optimize the user interface and content discovery mechanisms for millions of users globally.

Growth Opportunities:

• Potential for advancement to a Senior Principal or even a Research Leader role, overseeing a team of researchers and shaping the broader research strategy.
• Opportunities to specialize in specific areas of quantitative research (e.g., causal inference, machine learning applications in research) or domain areas within Prime Video (e.g., content discovery, personalization, streaming quality).
• Growth through mentoring and leading other researchers, developing leadership and coaching skills.
• Expansion of scope to work on cross-product initiatives within Amazon or contribute to research best practices across the company.

🌐 Work Environment

Studio Type: While the term "studio" is less common for a quantitative research role compared to visual design, the work environment in the London office is likely a modern, collaborative office space designed to facilitate teamwork and innovation. Amazon offices typically feature open-plan areas, meeting rooms, and dedicated spaces for focused work. The London location specifically suggests a vibrant, international work environment.

Office Location(s): This role is based in London, England. Amazon has multiple office locations in London, but the specific office for the Prime Video team would be where this role is based. London is a major global tech hub with excellent public transportation links.

Design Workspace Context:

• The workspace will likely be designed to support both individual focus for data analysis and report writing, as well as collaborative spaces for team meetings, brainstorming sessions, and presenting research findings.
• Access to necessary hardware and software, including powerful workstations, statistical software licenses, and access to internal data platforms.
• Opportunities for informal interaction and knowledge sharing with other researchers, designers, and product team members within the office.

Work Schedule: The role is listed as full-time and on-site in London. While some flexibility may exist, particularly for senior roles, the expectation is likely to be present in the office during core working hours to facilitate face-to-face collaboration with the team and stakeholders. The nature of global teams might occasionally require participation in meetings outside standard London business hours.

📄 Application & Portfolio Review Process

Design Interview Process:

• Initial Screening: Likely involves a review of your resume and portfolio by a recruiter and/or a hiring manager. Ensure your resume clearly highlights your quantitative research experience, statistical skills, and impact. Your portfolio should showcase relevant case studies.
• Phone/Video Interviews: Typically include behavioral questions (aligned with Amazon's Leadership Principles) and technical questions related to your quantitative research skills, methodology, and experience with tools. Be prepared to discuss your approach to study design, data analysis, and communicating complex findings.
• Portfolio Presentation/Case Study Review: You will likely be asked to present one or more case studies from your portfolio, walking the interviewers through your research process, findings, and the impact of your work. Be prepared to discuss the statistical methods used, challenges encountered, and decisions made.
• On-site Loop (or Virtual Equivalent): A series of interviews with various team members and stakeholders, including other researchers, designers, product managers, and potentially engineering leads. These interviews will assess your technical skills, problem-solving abilities, collaboration style, and cultural fit. Expect whiteboarding sessions or discussions around hypothetical research problems.
• Written Exercise/Take-Home Assignment: Some quantitative research roles at this level may include a take-home assignment or a written exercise to assess your analytical skills and ability to structure a research plan or communicate findings.

Portfolio Review Tips:

• Focus on 2-3 impactful case studies that demonstrate the breadth and depth of your quantitative research expertise.
• For each case study, clearly articulate the business problem or research question, the quantitative methods you employed (be specific about statistical techniques), the data sources used, and the key findings.
• Quantify the impact of your research whenever possible (e.g., "Increased feature adoption by X%," "Identified a key user segment leading to Y% revenue growth").
• Use clear and effective data visualizations to support your findings.
• Explain your rationale for choosing specific methodologies and discuss any challenges or limitations encountered.
• Demonstrate your ability to translate complex statistical concepts into language understandable to non-technical stakeholders.

Challenge Preparation:

• If given a take-home assignment, carefully read the instructions and scope the problem appropriately. Focus on demonstrating your analytical thinking and ability to apply relevant quantitative methods.
• For hypothetical problems in interviews, walk the interviewers through your thought process, starting from clarifying the research question, identifying potential data sources, proposing appropriate methodologies, and discussing how you would analyze the data and communicate the findings.
• Be prepared to discuss trade-offs in research design and analysis, and defend your choices based on statistical principles and business goals.

ATS Keywords: Quantitative UX Research, Survey Design, Statistical Analysis, Experimental Design, A/B Testing, Causal Inference, Data Analysis, R, Python, SQL, Data Visualization, Tableau, SPSS, SAS, User Behavior, Customer Insights, Product Research, UX Research Methods, Hypothesis Testing, Statistical Modeling, Data Wrangling, Sampling Techniques, Survey Weighting, Nonresponse Adjustment, Data-Driven Decision Making, Research Strategy, Stakeholder Management, Collaboration, Mentoring, Prime Video, Entertainment Industry, Streaming Media, User Experience, Product Development, Behavioral Analytics, User Logs, Qualitative Research, Mixed Methods Research, NLP, Generative AI.

🛠 Tools & Technology Stack

Primary Design Tools: While not traditional "design" tools like Figma or Sketch, the primary tools for this role are statistical software and data analysis platforms.

• R/Python: Essential for statistical analysis, data manipulation, and visualization. Proficiency in relevant libraries (e.g., tidyverse, pandas, numpy, scikit-learn, statsmodels) is expected.
• SQL: Critical for querying and extracting data from various databases and data warehouses.
• Statistical Software: Experience with commercial statistical packages like SPSS or SAS may be beneficial, although R and Python are increasingly preferred in tech.
• Survey Platforms: Experience with enterprise-level survey platforms for designing, fielding, and managing complex surveys.

Collaboration & Handoff:

• Internal Data Platforms: Access and utilization of Amazon's internal data infrastructure and analytics platforms.
• Version Control (e.g., Git): For managing code and analysis scripts collaboratively.
• Project Management Tools: Tools like Jira or internal Amazon tools for tracking research projects and tasks.
• Documentation Tools: Internal wikis or documentation platforms for sharing research findings and methodologies.

Research & Testing:

• A/B Testing Platforms: Experience working with platforms used for designing and analyzing online experiments.
• Behavioral Analytics Tools: Utilizing tools that track user behavior and engagement within the Prime Video product.
• Data Visualization Tools: Proficiency in tools like Tableau, or creating visualizations using R/Python libraries, to communicate findings effectively.

👥 Team Culture & Values

Design Values: The design culture within Amazon, and specifically Prime Video, likely emphasizes customer obsession, data-driven decision-making, and innovation. For a quantitative researcher, this translates to a focus on rigorous research that deeply understands user needs and behaviors, using data to validate design choices, and contributing to the development of novel and engaging experiences.

• Customer Obsession: Deep commitment to understanding and advocating for the customer through rigorous quantitative research.
• Data-Driven Decision Making: Utilizing quantitative insights as a primary driver for product and design decisions.
• Innovation: Contributing to the development of new research methodologies and approaches to uncover novel insights about user behavior in the entertainment space.
• Bias for Action: Ability to deliver timely and impactful research findings that can influence product development cycles.

Collaboration Style:

• Collaborative and cross-functional, working closely with designers, product managers, engineers, and data scientists.
• Emphasis on clear communication and the ability to translate complex quantitative findings for diverse audiences.
• Likely involves regular team meetings, design critiques (with a focus on the data supporting design decisions), and presentations of research findings.
• A culture of feedback and continuous improvement, both in terms of research methodologies and personal development.

⚡ Challenges & Growth Opportunities

Design Challenges:

• Navigating the complexity of a large organization and influencing decisions across multiple teams and stakeholders.
• Working with large and complex datasets, requiring sophisticated data wrangling and analytical skills.
• Measuring the impact of design changes in a dynamic and rapidly evolving entertainment landscape.
• Balancing the need for rigorous research with the pace of product development in a fast-moving industry.

Learning & Development Opportunities:

• Opportunities to work on cutting-edge problems in the digital entertainment space, leveraging advanced quantitative methods.
• Access to internal training programs and resources for developing both technical and leadership skills.
• Potential to attend and present at industry conferences, contributing to the broader quantitative research community.
• Mentorship opportunities within Amazon's extensive research and data science community.

💡 Interview Preparation

Design Process Questions:

• Be prepared to discuss your end-to-end quantitative research process, from identifying research questions to communicating findings. Use specific examples from your portfolio.
• Explain how you choose appropriate quantitative methodologies for different research questions (e.g., when to use a survey vs. an A/B test, how to design a conjoint analysis).
• Discuss your approach to data cleaning, handling missing data, and ensuring data quality and integrity.
• Explain your understanding of statistical significance, power analysis, and how you interpret and communicate statistical results to non-technical audiences.
• Be ready to discuss how you measure the impact of your research and connect findings to business outcomes.

Company Culture Questions:

• Familiarize yourself with Amazon's Leadership Principles and be prepared to provide specific examples of how you have demonstrated these principles in your past roles, particularly those related to customer obsession, ownership, invent and simplify, and earn trust.
• Research Amazon's Prime Video product and recent developments. Be prepared to discuss your thoughts on the user experience and potential areas for research.
• Ask insightful questions about the team structure, collaboration style, and how research influences product decisions within PVXD.

Portfolio Presentation Strategy:

• Structure your presentation as compelling case studies that tell a story about the problem, your approach, the findings, and the impact.
• Clearly explain your research methodology and the statistical techniques used, but focus on the insights and their implications rather than getting bogged down in technical jargon.
• Use clear and impactful data visualizations to support your narrative.
• Be prepared to answer detailed questions about your methodology, data analysis, and interpretation of results.
• Practice presenting your case studies to ensure you can articulate your process and findings concisely and confidently.

📌 Application Steps

To apply for this design position:

• Submit your application through this link
• Tailor your resume to highlight your quantitative research experience, statistical skills, and experience with relevant tools (R, Python, SQL, etc.). Use keywords from the ATS list provided.
• Prepare a portfolio that showcases your most impactful quantitative research projects, focusing on the research process, analytical rigor, key findings, and the business or product impact of your work.
• Practice articulating your research process and findings clearly and concisely, preparing for both technical and behavioral interview questions, including those based on Amazon's Leadership Principles.
• Research Amazon, Prime Video, and the digital entertainment industry to demonstrate your understanding of the domain and your enthusiasm for the role.