Senior UX Researcher, Quantitative

📍 Job Overview

Job Title: Senior UX Researcher, Quantitative

Company: Target

Location: Minneapolis, MN, United States

Job Type: Full time

Category: User Experience (UX) Research / Data Analytics

Date Posted: July 28, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid/Flex for Your Day

🚀 Role Summary

• Lead quantitative UX research initiatives for Target's enterprise experiences, focusing on understanding the needs and behaviors of internal users and external business partners.

• Own and evolve critical voice-of-user and experience measurement programs, including System Usability Scale (SUS) and Voice of Vendor/Business Partner initiatives.

• Design and execute advanced quantitative research methodologies to validate hypotheses, evaluate concepts, and drive product strategy.

• Translate complex quantitative data into clear, actionable narratives through reporting, dashboards, and storytelling for diverse stakeholders.

📝 Enhancement Note: This role is positioned within Target's Global UX team, specifically focusing on "enterprise experiences" which implies a focus on internal tools, systems, and processes used by Target employees, vendors, and business partners, rather than guest-facing applications. The emphasis on "quantitative" research and leading "measurement programs" highlights a strong analytical and data-driven approach to understanding user experience at scale.

📈 Primary Responsibilities

• Define and advance the Enterprise UX measurement strategy, ensuring alignment between user experience metrics, product health, business outcomes, and organizational priorities.

• Oversee and enhance core Enterprise UX Research measurement programs, including System Usability Scale (SUS), Voice of Vendor/Business Partner, intercept surveys, benchmarking, and the development of new longitudinal voice-of-user programs.

• Shape the strategic approach to measurement within Enterprise UX Research, encompassing survey strategy, sampling methodologies, advanced statistical analysis, reporting frameworks, and insight activation.

• Design and conduct rigorous quantitative research studies, employing methods such as survey design, appropriate sampling techniques, statistical testing, driver analysis, benchmarking studies, longitudinal tracking, and quantitative validation.

• Develop and implement scalable quantitative research designs to address complex and ambiguous product questions, validate hypotheses, evaluate product concepts and user experiences, and generate actionable insights to guide product strategy and design decisions.

• Establish robust and scalable measurement frameworks and governance protocols to ensure consistent, reusable, and reliable UX measurement across all Enterprise product teams.

• Collaborate closely with UX Research, Product Management, Design, Technology, Analytics, Data Science, and business teams to integrate attitudinal research findings with behavioral data, product analytics, experimentation results, and business performance metrics.

• Synthesize quantitative signals by connecting survey data, product analytics, behavioral data, and business metrics to empower teams to make informed product and investment decisions.

• Partner with Research Operations and cross-functional teams to evaluate, pilot, and responsibly implement AI, automation, and emerging tooling to enhance quantitative research workflows, analysis, reporting, and insight activation, while upholding research quality and ethics.

• Translate complex quantitative analyses into clear, compelling, and actionable narratives tailored for product teams, business partners, and senior leadership.

📝 Enhancement Note: The responsibilities emphasize a strategic ownership of measurement programs, requiring the candidate to not only execute research but also define the "how" and "what" of measurement for enterprise experiences. The mention of AI and emerging tooling suggests a forward-thinking approach to research operations and efficiency.

🎓 Skills & Qualifications

Education: Bachelor's degree in a relevant field such as Human-Computer Interaction (HCI), Psychology, Sociology, Statistics, Computer Science, or a related discipline. Master's or Ph.D. is often preferred for senior-level roles in quantitative research.

Experience: 5+ years of progressive experience in quantitative UX research, applied research, consumer insights, human factors, behavioral science, data science, or a closely related field, demonstrating increasing responsibility and impact.

Required Skills:

• Proficient in quantitative UX research methodologies, including survey design, sampling strategies, experience measurement techniques, statistical analysis, benchmarking, segmentation, and longitudinal tracking.

• Demonstrated expertise in applying advanced quantitative methods such as experimental design, robust survey methodology, causal inference, multivariate analysis, or psychometrics to address complex product and user experience challenges.

• Proven experience in designing, managing, and evolving large-scale survey, voice-of-user, or experience measurement programs that directly influence product, design, business, or operational decisions.

• Hands-on experience utilizing quantitative methods and tools, including advanced survey analysis, statistical testing, regression or driver analysis, segmentation techniques, dashboarding, and proficiency with platforms such as Qualtrics, Medallia, FullStory, SQL, R/Python, Tableau, Power BI, or Looker.

• Ability to effectively integrate quantitative research findings with qualitative research insights, behavioral data, product analytics, experimentation outcomes, and broader business performance metrics.

• Strong data-driven storytelling capabilities, with a proven track record of translating complex quantitative analysis into clear, concise, and actionable implications for user experience, product strategy, and business impact.

• Aptitude for clarifying ambiguous questions, defining research priorities, and driving projects forward with sound judgment and effective cross-functional partnership.

• Keen interest in experimenting with AI-enabled tools and emerging capabilities to enhance quantitative research workflows while rigorously maintaining research quality, ethics, and scientific rigor.

• Experience operating within large, matrixed organizations, fostering strong partnerships across UX, Product Management, Technology, Analytics, Data Science, Business, and Insights teams. Preferred Skills:

• Experience conducting research within enterprise, employee, B2B, retail operations, supply chain, or internal tools environments.

• Familiarity with A/B testing and experimental design principles for optimization.

• Experience with advanced statistical modeling and predictive analytics.

• Knowledge of data visualization best practices for communicating complex findings.

📝 Enhancement Note: The requirements clearly indicate a need for a seasoned quantitative researcher who can not only execute but also strategize and lead measurement initiatives. The emphasis on connecting various data sources (attitudinal, behavioral, business) and translating them into narratives is crucial for this role. The preferred experience in enterprise/B2B environments is a strong differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrable examples of quantitative research projects that led to significant product improvements or strategic business decisions.

• Case studies showcasing the design and execution of large-scale survey or measurement programs, detailing methodology, sampling strategy, and analysis.

• Evidence of translating complex quantitative findings into clear, actionable insights and compelling narratives for diverse audiences.

• Examples of how quantitative data was integrated with other data sources (qualitative, behavioral, business) to provide holistic recommendations.

• Showcase proficiency with key quantitative research tools and platforms listed in the requirements (e.g., Qualtrics, SQL, R/Python, Tableau). Process Documentation:

• Documentation of a defined process for developing and evolving measurement strategies for enterprise experiences.

• Examples of how research findings were used to establish governance for consistent UX measurement across teams.

• Case studies illustrating the iterative process of refining survey instruments, sampling plans, and analytical approaches based on results and feedback.

• Documentation of how quantitative insights were activated and embedded into product development cycles and business decision-making processes.

📝 Enhancement Note: For a Senior Quantitative UX Researcher role, the portfolio is critical. It needs to showcase not just the ability to run analyses but the strategic thinking behind measurement programs and the ability to influence product and business outcomes through data. The emphasis should be on impact and strategic contribution.

💵 Compensation & Benefits

Salary Range: $98,000 - $176,000 per year. This range reflects the seniority of the role and the specialized quantitative skills required. The final salary will be determined based on factors such as labor market conditions, education, work experience, certifications, and the candidate's qualifications.

Benefits:

• Comprehensive health benefits and programs, including medical, vision, and dental insurance.

• Life insurance coverage.

• 401(k) retirement savings plan.

• Employee discount on Target purchases.

• Short-term disability and long-term disability insurance.

• Paid time off, including sick leave, paid national holidays, and paid vacation.

• Access to a wide array of additional benefits covering financial well-being, education, and general wellness.

Working Hours: Standard full-time hours, likely around 40 hours per week, with a Hybrid/Flex for Your Day work arrangement. This means the role requires a blend of on-site work at the Minneapolis HQ and remote work, depending on task requirements and team needs.

📝 Enhancement Note: The provided salary range is well-defined for a Senior Quantitative UX Researcher in a major metropolitan area like Minneapolis. The benefits package is comprehensive and aligns with large retail employers, offering robust support for employees' well-being and financial security. The hybrid work arrangement is clearly articulated.

🎯 Team & Company Context

🏢 Company Culture

Industry: Retail. Target operates as a leading multi-channel retailer, known for its strong brand presence, innovative in-store and digital experiences, and commitment to serving guests and team members.

Company Size: Large Enterprise (Target is a Fortune 500 company with over 400,000 employees globally, indicating a vast and complex organizational structure).

Founded: 1902. With over a century of history, Target has a deep-rooted culture focused on guest experience, innovation, and community impact.

Team Structure:

• The role is within Target's Global UX team, specifically focusing on Enterprise UX Research.

• This team likely comprises various UX practitioners, including qualitative and quantitative researchers, designers, accessibility experts, and strategists.

• The Senior Quantitative UX Researcher will report to the Director of Quantitative UX Research and AI Enablement, indicating a clear reporting line within a specialized research function.

• Close collaboration is expected with UX Research partners supporting guest-facing experiences, as well as product, design, technology, analytics, data science, business teams, and insights partners. Methodology:

• Data-Driven Decision Making: Strong emphasis on using quantitative data, user insights, and analytics to inform product strategy, design decisions, and business outcomes.

• Human-Centered Approach: While quantitative, the research aims to understand the needs and behaviors of users (team members, partners) to improve their experiences.

• Scalability and Efficiency: Focus on developing scalable measurement programs and leveraging AI/automation to enhance research workflows and impact.

• Cross-Functional Collaboration: A core aspect of the methodology involves partnering with diverse teams to ensure research insights are integrated and actionable.

Company Website: https://corporate.target.com/

📝 Enhancement Note: Target's reputation as a large, established retailer suggests a structured yet innovative environment. The Global UX team's focus on both guest and enterprise experiences highlights the breadth of UX impact within the company. The reporting structure to a Director of Quantitative UX Research and AI Enablement points to a dedicated and forward-thinking approach to data-driven research.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level individual contributor role within the UX Research discipline. It signifies a high degree of expertise, autonomy, and the ability to lead significant research initiatives and programs. The role is expected to mentor junior researchers and influence research strategy.

Reporting Structure: Reports to the Director of Quantitative UX Research and AI Enablement. This position will also collaborate closely with various cross-functional leaders and teams, providing an opportunity to build a broad network within Target.

Operations Impact: The role has a direct impact on improving the efficiency, effectiveness, and satisfaction of internal users (team members, partners, vendors) who are critical to Target's operations. By measuring and understanding their experiences, this role contributes to better internal tools, streamlined processes, and ultimately, improved business outcomes and operational excellence.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in advanced quantitative methods, AI in research, and specific enterprise domains (e.g., supply chain, retail operations).

• Leadership Development: Potential to move into management roles within UX Research or transition into strategic roles in product analytics, data science, or insights leadership.

• Cross-Functional Mobility: Opportunities to move into product management, program management, or strategic planning roles leveraging deep understanding of internal operations and user needs.

• Mentorship and Influence: Opportunity to mentor junior researchers, shape research best practices, and influence enterprise-wide UX measurement strategies.

📝 Enhancement Note: The Senior level implies a significant impact and the potential for future leadership. The growth paths highlight opportunities for both deepening specialized skills and broadening career horizons within a large organization like Target.

🌐 Work Environment

Office Type: Hybrid/Flex for Your Day work arrangement. This indicates a blend of remote work and on-site presence at the Target HQ in Minneapolis.

Office Location(s): Primary location is Target HQ at 1000 Nicollet Mall, Minneapolis, MN 55403-2542. This is a central downtown Minneapolis location.

Workspace Context:

• Collaborative Environment: The hybrid model encourages collaboration through scheduled in-office days, facilitating face-to-face interaction with colleagues. The role requires close partnership with Product, Design, Technology, Analytics, and Data Science teams, suggesting a dynamic and integrated work setting.

• Tools and Technology: Access to a robust technology stack, including advanced quantitative research platforms (Qualtrics, Medallia), data analysis tools (SQL, R/Python), and visualization software (Tableau, Power BI). The company likely provides necessary hardware and software for remote and on-site work.

• Team Interaction: Opportunities for regular interaction with quantitative UX research partners, cross-functional teams, and leadership through meetings, workshops, and informal discussions, both virtually and in person.

Work Schedule: While the exact schedule may vary, it will align with standard full-time employment, likely around 40 hours per week. The hybrid arrangement provides flexibility, allowing team members to manage their work location based on project needs and personal preferences, within the company's guidelines.

📝 Enhancement Note: The Hybrid/Flex arrangement is key here. It signifies a modern work policy that balances flexibility with the need for in-person collaboration, common in large corporate environments. The Minneapolis HQ location is a prominent urban center.

📄 Application & Portfolio Review Process

Interview Process:

• Screening Call: Initial conversation with a recruiter to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: In-depth discussion with the Director of Quantitative UX Research, focusing on experience, approach to quantitative research, and understanding of enterprise UX.

• Technical/Skills Assessment: This may involve a take-home assignment or a live coding/analysis exercise to evaluate proficiency in statistical analysis, survey design, and data interpretation using tools like SQL, R/Python, or Qualtrics.

• Panel Interview: Presentation of a portfolio case study to a panel of UX researchers, designers, product managers, and potentially data scientists. This assesses communication, problem-solving, strategic thinking, and cross-functional collaboration skills.

• Final Interview: Potentially with a senior leader or hiring manager's manager to discuss broader strategic alignment and long-term fit.

Portfolio Review Tips:

• Quantify Impact: For each case study, clearly articulate the business problem, the quantitative methods used, the key findings, and most importantly, the measurable impact of your research on product strategy, user experience, or business outcomes. Use metrics and data points wherever possible.

• Showcase Process: Detail your process for survey design, sampling, analysis, and interpretation. Explain why you chose specific methods and tools.

• Data Storytelling: Practice presenting complex quantitative data in a clear, concise, and compelling narrative that resonates with both technical and non-technical audiences. Highlight how you translated data into actionable insights.

• Enterprise Focus: If possible, include examples relevant to enterprise or B2B contexts, demonstrating an understanding of internal user needs and business drivers. If not, clearly articulate how your guest-facing research experience translates to enterprise challenges.

• Tool Proficiency: Be prepared to discuss your experience with specific tools (Qualtrics, SQL, R/Python, Tableau) and demonstrate your ability to use them effectively.

Challenge Preparation:

• Data Analysis Skills: Brush up on statistical concepts (hypothesis testing, regression, segmentation) and practice performing analyses using SQL and R/Python. Be ready to interpret statistical outputs.

• Survey Design Principles: Review best practices for questionnaire design, question wording, scale selection, and sampling techniques to minimize bias and maximize data quality.

• Problem Framing: Practice breaking down ambiguous problems into researchable questions and designing quantitative studies to answer them.

• Communication & Influence: Prepare to articulate your thought process, justify your research decisions, and explain how your insights can influence stakeholders and drive action.

📝 Enhancement Note: The interview process is likely rigorous, typical for senior roles at large companies. A strong portfolio showcasing quantitative impact and storytelling is paramount. The emphasis on a take-home assignment or live exercise indicates a need to demonstrate practical skills.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Qualtrics, Medallia (essential for designing, deploying, and analyzing large-scale surveys and voice-of-user programs).

• Data Analysis & Programming: SQL (for data extraction and manipulation from databases), R or Python (for statistical modeling, advanced analysis, data visualization).

• Business Intelligence & Visualization: Tableau, Power BI, Looker (for creating dashboards, reports, and communicating insights visually).

• Behavioral Analytics: FullStory (or similar tools for understanding user behavior on digital platforms).

Analytics & Reporting:

• Proficiency in designing and interpreting results from A/B tests and other experiments.

• Experience with product analytics platforms (e.g., Adobe Analytics, Google Analytics) for understanding user engagement and behavior in digital products.

• Ability to create executive-level reports and dashboards that track key UX metrics and business KPIs. CRM & Automation:

• While not a direct CRM role, understanding how UX data integrates with CRM systems or other enterprise data platforms is beneficial.

• Familiarity with automation tools that can streamline research workflows, data processing, or reporting is a plus, especially in the context of AI enablement.

• Experience with integration tools could be useful for connecting disparate data sources.

📝 Enhancement Note: This section is crucial for operations-focused roles. The list of tools indicates a need for a researcher who is not just a theorist but a practitioner, capable of hands-on data manipulation, analysis, and visualization using industry-standard enterprise software.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using quantitative evidence to inform product strategy, design choices, and business investments. Operations professionals at Target are expected to champion data integrity and rigorous analysis.

• Efficiency and Scalability: A commitment to developing processes and measurement programs that are efficient, scalable across a large organization, and repeatable. This aligns with operational excellence goals.

• User-Centricity (Internal & External): While this role focuses on enterprise users, the broader company value of serving guests translates to a deep understanding of user needs, whether they are team members, partners, or external customers.

• Rigorous Research Practices: Maintaining high standards of research ethics, methodology, and data analysis to ensure the validity and reliability of insights.

• Collaboration and Partnership: A culture that fosters strong working relationships across different departments (UX, Product, Tech, Analytics, Business) to ensure insights are shared and acted upon effectively.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where UX researchers work hand-in-hand with product managers, designers, engineers, data scientists, and business stakeholders. This involves regular communication, joint problem-solving, and shared ownership of outcomes.

• Process Review and Feedback: A culture that encourages constructive feedback on research plans, methodologies, and findings to ensure rigor and alignment. Openness to iterative refinement of processes and deliverables.

• Knowledge Sharing: Encouraging the sharing of learnings, best practices, and insights across the UX team and with broader product and analytics communities through presentations, documentation, and internal forums.

📝 Enhancement Note: The values highlight a blend of analytical rigor, operational efficiency, and collaborative spirit, essential for success in a large corporate research role. The emphasis on internal users (enterprise) means understanding the operational needs of the business.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Enterprise Systems: Navigating and understanding the intricate web of internal tools, processes, and user roles within a large enterprise like Target can be complex. Developing deep domain knowledge will be key.

• Data Silos and Integration: Effectively integrating data from disparate sources (surveys, product analytics, operational data, behavioral logs) across different teams and systems can be challenging.

• Influencing Stakeholders: Translating complex quantitative findings into compelling narratives that resonate with diverse stakeholders and drive action requires strong communication and influencing skills.

• Balancing Rigor with Speed: Meeting the demands of product development cycles while maintaining the highest standards of quantitative research rigor requires efficient planning and execution.

• Evolving Tooling and AI: Staying abreast of rapidly advancing AI tools and methodologies and responsibly integrating them into research workflows while maintaining quality and ethical standards.

Learning & Development Opportunities:

• Advanced Quantitative Techniques: Opportunities to deepen expertise in areas like causal inference, advanced statistical modeling, psychometrics, and experimental design through internal training, workshops, or external conferences.

• AI and Automation in Research: Hands-on experience piloting and integrating AI-powered tools for data analysis, reporting, and insight generation, positioning the candidate at the forefront of research innovation.

• Domain Expertise: Gaining in-depth knowledge of Target's retail operations, supply chain, employee experiences, and business partner interactions, becoming a subject matter expert in enterprise UX.

• Cross-Functional Leadership: Developing leadership skills through cross-functional project leadership and influencing product roadmaps and strategic decisions.

• Mentorship Programs: Access to mentorship from senior leaders within UX, Data Science, or Product Management, fostering career growth and strategic development.

📝 Enhancement Note: The challenges are typical for senior roles in large, complex organizations, focusing on data integration, stakeholder influence, and technical evolution. The growth opportunities are strong, emphasizing specialization, emerging technologies, and leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed and executed a large-scale enterprise or B2B measurement program. What were the key challenges, and how did you ensure its success and impact?" (Focus on program design, methodology, and outcome).

• "How do you approach connecting quantitative UX metrics with qualitative insights and business KPIs to provide a holistic view of user experience and product performance?" (Highlight integration skills).

• "Walk us through your process for translating complex statistical findings into actionable recommendations for product teams and senior leadership. Provide a specific example." (Emphasize data storytelling and influence).

• "Imagine you need to measure the usability and effectiveness of a new internal tool for Target team members. What quantitative methods would you employ, and how would you ensure your findings are actionable?" (Assess problem-solving and methodological application). Company & Culture Questions:

• "Based on your understanding of Target and this role, how would you approach building trust and strong partnerships with product, design, and analytics teams in an enterprise setting?" (Assess collaboration and relationship-building skills).

• "How do you stay current with advancements in quantitative UX research, particularly regarding AI and automation, and how might you leverage these at Target?" (Gauge curiosity and forward-thinking approach).

• "What does 'enterprise UX' mean to you, and why is quantitative research critical for improving these experiences?" (Assess understanding of the role's context). Portfolio Presentation Strategy:

• Structure: Organize your presentation logically: Problem Statement -> Research Goals -> Methodology (Design, Sampling, Analysis) -> Key Findings -> Recommendations -> Impact/Outcome.

• Quantify Everything: For each project, clearly state the metrics used, the results achieved (e.g., % improvement in SUS score, reduction in task completion time), and the business impact (e.g., estimated cost savings, increased efficiency).

• Visuals: Use clear charts, graphs, and dashboards to illustrate your findings. Ensure they are easy to understand and directly support your narrative.

• Tell a Story: Frame your projects as narratives. Highlight the challenges you overcame, the insights you uncovered, and how your work directly influenced decisions or improved outcomes.

• Focus on Actionability: For each insight, explain what action should be taken and why, demonstrating your ability to translate data into strategic recommendations.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, advanced quantitative skills, and the ability to clearly communicate complex data to influence decisions. Practical examples and quantifiable results are key.

📌 Application Steps

To apply for this Senior Quantitative UX Researcher position:

• Submit your application through the provided link on the Target Careers Workday portal.

• Curate Your Portfolio: Select 2-3 of your most impactful quantitative research projects. Ensure they clearly demonstrate your expertise in survey design, statistical analysis, and data storytelling, ideally with enterprise or B2B relevance. Quantify the impact of your work.

• Tailor Your Resume: Highlight keywords and responsibilities mentioned in the job description, such as "quantitative UX research," "survey design," "statistical analysis," "benchmarking," "Qualtrics," "SQL," "R/Python," and "data storytelling." Emphasize your years of experience and quantifiable achievements.

• Prepare Your Presentation: Rehearse your portfolio presentation thoroughly. Focus on clearly articulating the problem, your approach, key findings, and measurable impact. Be ready to answer in-depth questions about your methodology and decision-making process.

• Research Target's Enterprise: Understand Target's business operations, its commitment to team members, and its digital transformation efforts. Consider how your role contributes to Target's overall success from an operational and internal user perspective.

⚠️ 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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