Quantitative UX Researcher

AnswerLab

Quantitative UX Researcher at AnswerLab designing and executing research to illuminate user behavior. Collaborating with teams to drive experience strategy and insights for ambitious product teams.

Posted 6/4/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $115,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and execute quantitative research studies that address complex user experience questions
Lead or contribute to a wide range of quantitative methods and analyses
Demonstrate genuine methodological fluency
Coordinate with panel and recruitment vendor partners on sample design
Program and QA surveys using a programming platform
Apply descriptive, inferential, and multivariate statistical techniques appropriately
Move beyond reporting what the data shows to interpreting what it means for product and experience strategy
Communicate insights clearly to a range of audiences
Produce strong data visualizations and well-structured deliverables
Mentor colleagues at more junior levels

Requirements

What you’ll need

Bachelor's degree in a human behavior-related field (HCI, Psychology, Sociology, Economics, Market Research, Statistics, Computer Science, or related) with 4+ years of relevant experience; or Master's or PhD in a related field with 2+ years of relevant experience
7+ years of quantitative research experience, preferably in a consulting or agency environment
Demonstrated, substantive expertise in quantitative UX research methods
Proficiency with a survey programming platform (e.g., Qualtrics, Alchemer)
Ability to apply descriptive, inferential, and multivariate statistical techniques appropriately
Fluency in at least one statistical analysis or data visualization tool (e.g., Q Research, DisplayR, SPSS, R, Python)

Benefits

Comp & perks

Health insurance
Paid time off
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative researchstatistical techniquesdata visualizationsurvey programmingdescriptive statisticsinferential statisticsmultivariate statisticsmethodological fluencyUX research methodsdata interpretation

Soft Skills

communicationmentoringcollaborationinsight generationproblem-solving