quantitative research jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-11-05, quantitative research appears in 379 job postings indexed by Skillenai over the past 90 days — UX Researcher has the most postings mentioning quantitative research, with demand share up 5.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-05

Postings · last 90 days
379
Demand vs prior month
up 5.6% vs the prior 4 weeks
Top role · 21.9% of skill postings
Top hiring metro
New York City

Which roles want quantitative research?

Upload your resume and Skillenai will show which roles your quantitative research experience fits, which skills you already cover, and what is missing.

Frequently asked questions about quantitative research

+Is quantitative research in demand in 2026?

Yes. quantitative research appears in 379 job postings indexed by Skillenai over the 90 days ending 2026-11-05. UX Researcher accounts for the most postings mentioning quantitative research (21.9% of all postings mentioning quantitative research).

+What jobs require quantitative research?

According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning quantitative research are UX Researcher (38.1% of that role’s postings mention quantitative research), Digital Product Designer (15.0% of that role’s postings mention quantitative research), Design Program Manager (13.0% of that role’s postings mention quantitative research).

+What skills are commonly paired with quantitative research?

Across job postings indexed by Skillenai (90 days ending 2026-11-05), quantitative research most often appears alongside Qualitative research, user research, UX research, usability testing, Data analysis.

+Where is quantitative research most in demand?

As of 2026-11-05, the metro areas posting the most jobs requiring quantitative research are New York City, London, Sunnyvale, San Francisco, Singapore, according to the Skillenai jobs index.

+How can I keep up with new quantitative research content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning quantitative research alongside the jobs index. You can subscribe to a daily email digest of new quantitative research content from your Skillenai account.

+Which skills come before and after quantitative research?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring quantitative research — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around quantitative research

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before quantitative research

Before quantitative researchusability testing → quantitative research: 1 observed employer moves with this skill pairevidence-based decision-making → quantitative research: 1 observed employer moves with this skill pairpatient records → quantitative research: 1 observed employer moves with this skill pairresponsive high-fidelity prototype → quantitative research: 1 observed employer moves with this skill pairfield observation → quantitative research: 1 observed employer moves with this skill pairSPSS → quantitative research: 1 observed employer moves with this skill pairmarketing analytics → quantitative research: 1 observed employer moves with this skill pairMYSQL → quantitative research: 1 observed employer moves with this skill pairquantitativeresearchusability testing: 1 movesusability testing1 movesevidence-based decision-making: 1 movesevidence-baseddecision-making1 movespatient records: 1 movespatient records1 movesresponsive high-fidelity prototype: 1 movesresponsivehigh-fidelityprototype1 movesfield observation: 1 movesfield observation1 movesSPSS: 1 movesSPSS1 movesmarketing analytics: 1 movesmarketinganalytics1 movesMYSQL: 1 movesMYSQL1 moves

Skills after quantitative research

After quantitative researchquantitative research → Surveys: 2 observed employer moves with this skill pairquantitative research → data analysis: 2 observed employer moves with this skill pairquantitative research → business systems analysis: 1 observed employer moves with this skill pairquantitative research → social media: 1 observed employer moves with this skill pairquantitative research → scikit-learn: 1 observed employer moves with this skill pairquantitative research → a/b testing: 1 observed employer moves with this skill pairquantitative research → user testing: 1 observed employer moves with this skill pairquantitative research → Webinars: 1 observed employer moves with this skill pairquantitativeresearchSurveys: 2 movesSurveys2 movesdata analysis: 2 movesdata analysis2 movesbusiness systems analysis: 1 movesbusiness systemsanalysis1 movessocial media: 1 movessocial media1 movesscikit-learn: 1 movesscikit-learn1 movesa/b testing: 1 movesa/b testing1 movesuser testing: 1 movesuser testing1 movesWebinars: 1 movesWebinars1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: usability testing1
Before: evidence-based decision-making1
Before: patient records1
Before: responsive high-fidelity prototype1
Before: field observation1
Before: SPSS1
Before: marketing analytics1
Before: MYSQL1
After: Surveys2
After: data analysis2
After: business systems analysis1
After: social media1
After: scikit-learn1
After: a/b testing1
After: user testing1
After: Webinars1

Roles most likely to require quantitative research

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
UX Researcher8338.1%
Digital Product Designer315.0%
Design Program Manager313.0%
Quantitative Researcher1610.9%
Quantitative Trader510.6%
AI Product Designer14.5%
Research Analyst14.5%
Marketing Analytics Director14.3%
Quantitative Research Intern14.3%
Commercial Analytics Manager14.2%

Roles with the most quantitative research postings

RolePostings mentioning skillShare of skill postings
UX Researcher8321.9%
Product Manager5414.2%
Product Designer4110.8%
Quantitative Researcher164.2%
UX Designer143.7%
Research Scientist82.1%
Data Analyst51.3%
Program Manager51.3%
Quantitative Trader51.3%
Data Scientist41.1%

Top companies posting jobs requiring quantitative research

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring quantitative research
CompanyPostings · 90 days
Intuitive16
AbbVie10
LBG10
Grab7
PointClickCare6
Grafana Labs6
Susquehanna International Group6
Belvedere Trading5
NielsenIQ5
Barclays4

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for quantitative research

NamePostingsShare
New York City328.4%
London174.5%
Sunnyvale154.0%
San Francisco102.6%
Singapore102.6%
Chicago82.1%
Toronto71.8%
Amsterdam61.6%
Boston51.3%

Skills commonly paired with quantitative research

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-05. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning quantitative research by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s quantitative research postings by all quantitative research postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
8bea115b22f1f057
data_as_of
2026-11-05
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index