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UX Researcher II, mixed methods (quant focused), Amazon Prime UX

UX Researcher II, mixed methods (quant focused), Amazon Prime UX

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Description

• “We fight for the users” – Tron. 1982
  
  

Amazon Prime serves over 150 million members across 20+ countries and is at the heart of Amazon’s explosive growth. In 2022, Prime is investing in transformational capabilities to make Prime relevant and accessible to every individual everywhere in the world, to empower every Amazon business to accelerate its growth through Prime, and to pave the way for Amazon’s entry into new businesses.

The Amazon Prime UX Research team is the knowledge hub of all things Amazon Prime. Our team runs worldwide research work streams aimed at understanding Prime and its customers, as well as conducting forward-looking research to inform Prime's future plans, and to make sure we're always positioned to exceed customer expectations. One of the most exciting parts of working on the Prime UX team is in a unique position to examine the entire user journey, across all Amazon products and services.

We are seeking an experienced mixed methods UX Researcher with a strong quantitative focus to drive insights for the Prime membership experience globally. This role will influence Amazon-wide strategy through rigorous quantitative studies complemented by qualitative insights. The ideal candidate excels in synthesizing diverse data sources across international markets to drive impactful decisions. This position requires exceptional analytical skills and the ability to work efficiently in a fast-paced, sometimes ambiguous environment. Beyond strong mixed methods expertise with advanced quantitative capabilities, the ideal candidate possesses robust program management skills and thrives in complex, multi-org technical environments. Success in this role requires coordinating international research initiatives while consistently advocating for customers across diverse global markets.

Key job responsibilities

• Design and execute end-to-end mixed methods research studies, balancing quantitative rigor (e.g., surveys, statistical analysis) with qualitative depth (e.g., interviews, focus groups) to address key business questions.
• Manage all stages of the research lifecycle, from creating proposals and designing methodologies to recruiting participants, moderating sessions, conducting analysis, and delivering actionable insights to stakeholders.
• Define and implement appropriate research methodologies for deep-dive studies based on business objectives, timelines, and available resources.
• Support the end-to-end execution of large-scale CX tracker surveys, including design, analysis, and ongoing optimization.
• Partner with cross-functional stakeholders — senior leadership, engineers, product managers, marketers, UX designers and researchers — to drive customer-centric decisions.
• Identify opportunities to streamline research processes and increase operational efficiency while maintaining research quality.
  
  

About The Team

At Prime, you'll join a dynamic UX Research team solving complex global challenges that impact millions of customers worldwide. We're passionate about advancing research excellence through mixed methods approaches and rigorous quantitative analysis. Our collaborative environment combines the excitement of working on high-impact problems with opportunities to develop advanced research skills across international markets. We foster a supportive culture where researchers actively mentor each other, share expertise, and grow together. If you're excited about conducting innovative research at scale while developing your skills in a global context, we'd love to have you join our team.

Basic Qualifications

• Bachelor's degree in Cognitive or Experimental Psychology, Human Factors, Business, Research, Statistics, Behavioral Economics, or a related field of study required
• 3+ years of quantitative and qualitative research experience, including survey design and execution
• 3+ years of exp. utilizing data and analytics to formulate program objectives, solve business problems, and drive process improvements
• Experience with survey programming and administration tools (e.g., Qualtrics)
• Experience with data analysis and visualization tools (e.g., SPSS, R, SAS, Matlab, Excel with advanced functions)
  
  

Preferred Qualifications

• Advanced degree (MS/PhD) in Experimental/Cognitive/Social Psychology, Human Factors, Human Computer Interaction, Business, Behavioral Economics, or related field
• Expertise in advanced statistical techniques (e.g., statistical significance, regression, factor analysis, Conjoint, MaxDiff) for survey design and analysis
• Experience leading large-scale research programs and collaborating with cross-functional teams
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,100/year in our lowest geographic market up to $193,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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