UX Quantitative Researcher - New York

📍 Job Overview

Job Title: Quantitative Researcher / Data Analyst

Company: Photon

Location: New York, New York, United States

Job Type: Full-time

Category: UX Research / Product Analytics

Date Posted: August 27, 2026

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Drive product improvements by leveraging quantitative user research methodologies and advanced data analysis in both B2B and B2C environments.

• Design, implement, and manage sophisticated in-product intercept surveys using Qualtrics, focusing on advanced targeting logic, workflows, and data integration.

• Develop and automate comprehensive dashboards and reports to visualize key product performance metrics and communicate actionable insights to diverse stakeholders.

• Collaborate closely with qualitative UX researchers and data engineering teams to triangulate findings, integrate survey data with behavioral analytics, and foster a unified understanding of user behavior.

📝 Enhancement Note: This role sits at the intersection of UX Research and Product Analytics, requiring a strong command of survey platforms like Qualtrics for in-product feedback collection and robust analytical skills to translate that data into strategic product decisions. The emphasis on B2B and B2C environments suggests a need for adaptability in understanding different user contexts and business objectives.

📈 Primary Responsibilities

• Design, implement, and manage in-product intercept surveys using Qualtrics, including sophisticated targeting logic, survey workflows, and cookie preferences.

• Administer and maintain Qualtrics XM Directory, including contact lists, participant segmentation, and ensuring precise targeting for research initiatives.

• Conduct in-depth quantitative analysis of user behavior, product performance, and survey feedback to identify critical trends, user pain points, and opportunities for product enhancement.

• Develop, maintain, and automate Qualtrics dashboards to visualize key performance indicators (KPIs), monitor product health, and facilitate data-driven decision-making across teams.

• Translate complex quantitative findings into clear, concise, and compelling narratives for a range of audiences, including product managers, designers, and senior leadership.

• Partner with qualitative UX researchers to triangulate insights, providing a holistic understanding of user needs and behaviors.

• Collaborate with development and data engineering teams to integrate survey data with behavioral analytics platforms (e.g., Glassbox) and other relevant internal datasets.

• Facilitate access to and understanding of behavioral data for UX research and product teams to enable more comprehensive analysis.

• Troubleshoot and optimize survey deployment and data collection processes, addressing technical issues related to cookies, embedded data, and survey logic.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to survey management within Qualtrics, extending beyond basic survey creation to include advanced features like embedded data and XM Directory management. The emphasis on integrating survey data with behavioral analytics (e.g., Glassbox) is a key differentiator for this role, suggesting a need for candidates with experience in data unification and cross-platform analysis.

🎓 Skills & Qualifications

Education:

• Bachelor's Degree or higher in a quantitative field such as Statistics, Economics, Psychology, Human-Computer Interaction (HCI), Business Analytics, or a related discipline. Experience:

• 5+ years of progressive experience in product analytics, quantitative UX research, or a similar data-focused role.

• Demonstrated experience with digital products across both B2B and B2C environments.

• Proven track record of designing, implementing, and managing in-product intercept surveys, including advanced targeting logic and cookie management.

• Experience in designing workflows and establishing directories for data access and documentation is a significant advantage. Required Skills:

• Qualtrics Proficiency: Deep expertise in designing, implementing, and managing in-product intercept surveys, including advanced targeting logic, survey workflows, embedded data, and XM Directory management.

• Quantitative Analysis: Strong ability to conduct comprehensive quantitative analysis of user behavior, product performance, and survey feedback to identify trends and insights.

• Data Visualization & Reporting: Experience developing, maintaining, and automating dashboards and reports to visualize key metrics and communicate findings effectively.

• Stakeholder Management: Excellent communication, interpersonal, and stakeholder management skills, with a proven ability to collaborate effectively with technical and non-technical teams.

Preferred Skills:

• Experience with behavioral analytics platforms (e.g., Glassbox) and integrating survey data with these platforms.

• Familiarity with data engineering concepts and collaboration with data engineering teams.

• Knowledge of statistical modeling techniques and experimental design.

• Experience working with product managers and designers to translate research findings into product roadmaps.

📝 Enhancement Note: The requirement for "5+ years of experience" combined with a Bachelor's degree in a quantitative field positions this role as mid-to-senior level. The emphasis on Qualtrics is paramount, suggesting that candidates without direct experience in this specific platform may struggle unless they can demonstrate analogous skills in other robust survey or data collection tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate successful implementation of in-product intercept surveys, showcasing advanced targeting logic and workflow design within a platform like Qualtrics.

• Provide examples of data visualizations and automated dashboards that effectively communicate product performance metrics and user feedback trends.

• Include case studies detailing how quantitative insights derived from surveys led to specific product improvements or strategic decisions.

• Showcase experience in integrating disparate data sources, particularly survey data with behavioral analytics platforms. Process Documentation:

• Illustrate your process for defining survey objectives and translating them into actionable research plans.

• Document your methodology for designing and refining survey questions and logic to ensure data quality and validity.

• Present examples of how you have automated reporting or data collection processes to improve efficiency and scalability.

• Detail your approach to collaborating with cross-functional teams (e.g., Product, Engineering, Qualitative UX) to ensure alignment and impact of research findings.

📝 Enhancement Note: For a role focused on quantitative research and product analytics, a portfolio should emphasize data-driven storytelling. Candidates should be prepared to walk through the lifecycle of a research project, from problem definition and survey design to data analysis, visualization, and ultimately, the impact on product strategy. The integration of survey data with behavioral analytics is a key area to highlight.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: $70,000 - $130,000 USD per year.

• Explanation: This estimate is based on the provided minimum ($42,000) and maximum ($148,000) compensation figures, the experience level (5-10 years), and the location (New York City, a high-cost-of-living area). The provided range attempts to capture a reasonable spread for a candidate with 5-10 years of experience in a major metropolitan area, acknowledging that actual compensation is subject to individual qualifications and negotiation. The wide gap between the stated minimum and maximum suggests significant variability based on precise experience, specific skill sets, and performance during the interview process.

Benefits:

• Comprehensive Medical, Vision, and Dental Insurance plans.

• 401k Retirement Plan with potential company matching.

• Variable Pay and Incentive programs tied to performance.

• Generous Paid Time Off (PTO) policy.

• Paid Holidays. Working Hours:

• Standard 40-hour work week.

📝 Enhancement Note: The provided salary range of $42,000 to $148,000 USD is exceptionally broad for a role requiring 5+ years of experience in New York. It's crucial for candidates to understand that compensation will likely fall towards the higher end of this spectrum for individuals meeting the core requirements, with the lower end possibly reserved for entry-level or exceptional circumstances. The benefits package is standard for full-time employees in the US.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software (specifically SaaS, implied by the Oracle Cloud URL and typical operations roles). Photon likely operates within the enterprise software or cloud services sector, providing solutions that require robust user experience and data-driven product development.

Company Size: Implied to be mid-to-large sized, given the formal Oracle Cloud ATS system and the range of benefits offered. The company size influences the complexity of operations, the number of stakeholders, and the potential for structured career progression.

Founded: Not specified, but the company's operational maturity (indicated by the ATS and benefits) suggests it's an established entity.

Team Structure:

• The UX Research team likely includes both quantitative and qualitative researchers, fostering a collaborative environment where different research methodologies complement each other.

• This role will report to a lead or manager within the UX Research or Product Analytics function, with close collaboration with Product Management, Design, and Data Engineering teams.

• Expect a matrixed reporting structure for projects, requiring strong cross-functional communication and alignment. Methodology:

• Data-Driven Decision Making: Emphasizes the use of quantitative data, including survey results and behavioral analytics, to inform product strategy and development.

• User-Centric Design: Focuses on understanding and addressing user needs and pain points through rigorous research.

• Agile Collaboration: Likely operates within an agile framework, necessitating iterative development and close teamwork with product and engineering.

Company Website: Photon.com (derived from the domain_derived field)

📝 Enhancement Note: While specific company culture details are not provided, the role's focus on quantitative research, data integration, and cross-functional collaboration suggests a company that values evidence-based decision-making and a strong partnership between research, product, and engineering. The use of an Oracle Cloud ATS indicates a level of organizational structure and process.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level Quantitative Researcher/Data Analyst. It requires significant prior experience (5+ years) and a deep specialization in survey platforms (Qualtrics) and quantitative analysis techniques. The responsibilities suggest an individual contributor role with significant influence on product strategy.

Reporting Structure: The role will likely report into a UX Research Manager, Head of Product Analytics, or a similar leadership position within the Product or Research organization. Collaboration will extend across multiple departments, including Product Management, UX Design, and Data Engineering.

Operations Impact: The primary impact of this role will be on improving product usability, user satisfaction, and ultimately, product adoption and retention. By translating complex user data into actionable insights, the Quantitative Researcher will directly influence the product roadmap, feature prioritization, and overall product strategy, thereby contributing to revenue growth and market competitiveness.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in specific areas of quantitative UX research, such as advanced statistical modeling, experimental design, or specific analytics platforms.

• Leadership Track: Progress into a Senior Quantitative Researcher role, leading larger research initiatives, mentoring junior researchers, or managing a team.

• Cross-Functional Transition: Leverage analytical and communication skills to move into roles like Product Management, Data Science, or Business Intelligence.

• Industry Expertise: Become a subject matter expert in specific product domains or user segments relevant to Photon's offerings.

📝 Enhancement Note: The growth opportunities suggest a path for individuals who excel in quantitative analysis and want to deepen their impact within the UX and product development lifecycle. The potential to move into leadership or more specialized analytical roles provides a clear career trajectory.

🌐 Work Environment

Office Type: On-site in New York City. This implies a traditional office setting that fosters in-person collaboration and team cohesion.

Office Location(s): 115 W 30th ST STE 910, New York, NY 10001-4000. This specific address indicates a central Manhattan location, likely in a professional office building.

Workspace Context:

• Collaborative Environment: The on-site nature suggests opportunities for spontaneous discussions, whiteboarding sessions, and direct interaction with colleagues, which is beneficial for complex problem-solving in research and analytics.

• Tools & Technology: Access to standard office technology, robust internet connectivity, and likely a powerful workstation capable of handling data analysis software (e.g., Qualtrics, statistical packages, visualization tools).

• Team Interaction: Close proximity to UX researchers, product managers, designers, and potentially data engineers, facilitating seamless communication and project alignment.

Work Schedule: The role is listed with standard working hours (40 hours/week), typical for a full-time, on-site position. Flexibility may be available based on team norms and project demands, but the core expectation is presence during business hours.

📝 Enhancement Note: The on-site requirement in a prime New York City location suggests a company that values in-person collaboration and team synergy. Candidates should be prepared for a traditional office environment with the associated benefits of direct interaction and a structured workday.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit. Be prepared to discuss your experience with Qualtrics and quantitative UX research.

• Technical Interview / Case Study: Expect a more in-depth interview focusing on your quantitative skills. This may involve a take-home case study or an in-interview exercise where you'll analyze a dataset, interpret survey results, or design a research approach. Prepare to discuss your process and findings.

• Portfolio Review: You will likely be asked to present examples from your portfolio, showcasing your experience with in-product surveys, data analysis, and dashboard creation. Focus on demonstrating the impact of your work.

• Cross-Functional Interviews: Interviews with potential peers and stakeholders (e.g., Product Managers, UX Designers, Data Engineers) to assess collaboration style, communication skills, and ability to integrate into the team.

• Final Interview: A discussion with senior leadership to confirm fit, discuss career aspirations, and finalize the offer.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the problem, your approach, the data you used, and most importantly, the measurable outcomes or impact on the product and business. Use metrics wherever possible.

• Showcase Qualtrics Expertise: Highlight specific examples of complex Qualtrics implementations, such as advanced targeting, embedded data usage, and workflow automation.

• Data Visualization Clarity: Present dashboards and reports that are clean, intuitive, and clearly communicate key insights. Explain your design choices.

• Storytelling: Structure your portfolio presentations as compelling narratives that demonstrate your problem-solving abilities and strategic thinking.

• Tailor to the Role: Emphasize projects that align with the responsibilities of this specific Quantitative Researcher role, particularly those involving in-product surveys and B2B/B2C product analytics.

Challenge Preparation:

• Data Interpretation: Practice analyzing sample survey data or user behavior metrics and drawing actionable conclusions.

• Survey Design: Be ready to discuss how you would design an in-product intercept survey to answer a specific product question.

• Tool Proficiency: Review your familiarity with Qualtrics features and be prepared to discuss how you've used them. If you have experience with similar tools, be ready to draw parallels.

• Collaboration Scenarios: Prepare examples of how you've collaborated with product, design, and engineering teams to drive product improvements based on research.

📝 Enhancement Note: The interview process is standard for a quantitative research role, with a strong emphasis on practical application and portfolio demonstration. Candidates should be prepared to articulate their thought process clearly, especially when discussing survey design, data analysis, and the impact of their findings.

🛠 Tools & Technology Stack

Primary Tools:

• Qualtrics: This is the core platform for survey design, implementation, data collection, and dashboarding. Proficiency in its advanced features (XM Directory, embedded data, workflows, targeting logic) is critical.

• Behavioral Analytics Platforms: Experience with tools like Glassbox or similar platforms for analyzing user interactions and behavioral data is highly desirable.

• Statistical Software: Proficiency in tools such as R, Python (with libraries like Pandas, NumPy, SciPy), SPSS, or SAS for advanced data analysis and statistical modeling.

Analytics & Reporting:

• Data Visualization Tools: Experience with tools like Tableau, Power BI, Looker, or Qualtrics Dashboards for creating interactive reports and visualizations.

• SQL: Essential for querying and extracting data from various databases.

• Spreadsheet Software: Advanced proficiency in Microsoft Excel or Google Sheets for data manipulation and analysis.

CRM & Automation:

• While not explicitly stated as primary, familiarity with CRM systems (e.g., Salesforce) and marketing automation tools could be beneficial for understanding customer data and segmentation.

📝 Enhancement Note: The technology stack heavily emphasizes Qualtrics, indicating it as the primary tool for survey-related activities. The mention of Glassbox and the need to integrate survey data with behavioral analytics suggests a sophisticated data infrastructure. Proficiency in SQL and at least one statistical analysis tool (R or Python) is expected for a quantitative role.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decisions: A strong emphasis on using empirical evidence from user research and analytics to guide product development and strategy.

• User Empathy: A commitment to understanding and advocating for the user, ensuring that product decisions are grounded in user needs and behaviors.

• Collaboration & Partnership: Valuing teamwork and effective communication across disciplines (UX, Product, Engineering, Data) to achieve shared goals.

• Impact & Improvement: A focus on driving tangible improvements to the product and user experience through rigorous research and insightful analysis.

• Efficiency & Automation: Seeking opportunities to streamline processes, automate repetitive tasks (like reporting), and leverage technology to maximize research impact.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with product managers, designers, and engineers, participating in product planning, design reviews, and sprint cycles.

• Data Triangulation: A collaborative approach to combining quantitative insights with qualitative findings to build