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Quantitative UX Researcher
Han IT Staffing
- United States
- United States
Über
Role Summary We're looking for a
Quantitative UX Researcher
to drive
data informed product decisions
by designing, executing, and interpreting quantitative research. You'll partner closely with
Product, Design, Analytics, and Engineering
to evaluate experiences at scale, reduce risk, and improve outcomes across end to end digital journeys.
The ideal candidate is fluent in
experimentation, survey design, and behavioral data
, and can translate complex findings into
clear, actionable insights
that teams can confidently build from.
What You'll Do
Lead
live experimentation (A/B & Multi Variate)
to validate UX changes and quantify impact on key outcomes (e.g., conversion, comprehension, engagement).
Design and analyze
intercept tests and surveys
to measure user perception, clarity, and decision confidence.
Leverage user
session replay (Glassbox, Fullstory)
to identify friction points and explain
"what happened
and
"where.
Define hypotheses, success metrics, and measurement plans in partnership with cross functional teams.
Communicate results through concise narratives, visuals, and recommendations that drive decisions and prioritization.
Collaborate with Qual UXR to connect
what users do
(behavioral data) with
what users say
(attitudinal data).
Must Have
3+ years
in a
quantitative UX research
(or closely related) role.
Hands on experience running
live A/B & multivariate testing using Adobe Target
.
Experience analyzing
session replay
tools (e.g.,
Glassbox
,
FullStory
).
Experience conducting
intercept testing and surveys in Qualtrics
.
Strong communication skills and a proven track record partnering with Qual UXR to connect behavioral + attitudinal insights.
Working proficiency with analytics/experimentation toolsets such as
SQL
,
R/Python
,
Excel
,
Table
au
, and common product analytics platforms (e.g., Amplitude/GA/Optimizely/
UserZoom/Qualtrics).
Nice to Have
Experience in a
highly regulated industry
(e.g., financial services, healthcare).
Experience leveraging advanced statistical methods like MaxDiff, Conjoint Analysis, clustering
Experience leveraging AI to streamline research process and analysis
Advanced degree in
analytics
,
data science
,
human factors
,
information design
, or a related field.
Sprachkenntnisse
- English
Hinweis für Nutzer
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