Job Summary
We are seeking a Quantitative UX Researcher with strong expertise in survey research, statistical analysis, and data-driven insights to support product and user experience decision-making. This role focuses on the design, execution, and analysis of large-scale tracking and longitudinal surveys, translating quantitative findings into actionable recommendations for cross-functional teams.
The ideal candidate has a strong background in UX research, psychology, statistics, social sciences, or human-computer interaction, and is comfortable working independently in fast-paced, ambiguous environments.
Key Responsibilities
Design, manage, and execute large-scale quantitative UX research studies, including tracking and longitudinal surveys
Develop survey instruments, questionnaires, and measurement frameworks
Analyze survey data using statistical methods such as descriptive analysis, regression, ANOVA, and hypothesis testing
Write clear, actionable research reports and insights to inform product, design, and business decisions
Prioritize and manage multiple research projects simultaneously in a rapidly changing environment
Collaborate with cross-functional stakeholders including product managers, designers, engineers, and researchers
Ensure high data quality through proper sampling, weighting, validation, and data cleaning techniques
Contribute to improving research standards, methodologies, and best practices
Required Qualifications (Must-Have Skills)
Bachelor's degree with 7+ years, Master's degree with 5+ years, or PhD with 2+ years of relevant UX or quantitative research experience
Strong proficiency in R (including Tidyverse) for data analysis
Proven experience in survey design, questionnaire development, and measurement strategy
Solid understanding of statistical analysis methods, including:
Descriptive statistics
Regression analysis
ANOVA
t-tests
Demonstrated experience conducting hands-on primary research
Ability to generate actionable insights from complex datasets
Strong written and verbal communication skills
Preferred Qualifications (Nice-to-Have Skills)
Experience with Python for data analysis
Proficiency with Google Workspace (Docs, Sheets, Slides)
Experience with large-scale tracking surveys or longitudinal research
Familiarity with survey platforms such as Qualtrics, SurveyMonkey, or similar tools
Experience working in technology, digital products, or consumer-facing platforms
Knowledge of advanced statistical techniques (e.g., SEM, multilevel modeling)
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