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

As of 2026-10-29, quantitative data analysis appears in 88 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning quantitative data analysis.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
88
Top role · 40.9% of skill postings
Product Manager
Top hiring metro
Toronto

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Frequently asked questions about quantitative data analysis

+Is quantitative data analysis in demand in 2026?

Yes. quantitative data analysis appears in 88 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning quantitative data analysis (40.9% of all postings mentioning quantitative data analysis).

+What jobs require quantitative data analysis?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning quantitative data analysis are UX Researcher (3.4% of that role’s postings mention quantitative data analysis), Engagement Manager (1.6% of that role’s postings mention quantitative data analysis), Digital Product Manager (1.6% of that role’s postings mention quantitative data analysis).

+What skills are commonly paired with quantitative data analysis?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), quantitative data analysis most often appears alongside qualitative data analysis, Product Management, Data analysis, usability testing, prototyping.

+Where is quantitative data analysis most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring quantitative data analysis are Toronto, Austin, Berlin, Amsterdam, Atlanta, according to the Skillenai jobs index.

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

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

+Which skills come before and after quantitative data analysis?

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 data analysis — last 90 days

Career paths around quantitative data analysis

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before quantitative data analysis

Before quantitative data analysisrecurrent neural network → quantitative data analysis: 1 observed employer moves with this skill pairsupervised machine-learning → quantitative data analysis: 1 observed employer moves with this skill pairclassical statistics → quantitative data analysis: 1 observed employer moves with this skill pairRNNs → quantitative data analysis: 1 observed employer moves with this skill pairexploratory data analysis → quantitative data analysis: 1 observed employer moves with this skill pairquality control → quantitative data analysis: 1 observed employer moves with this skill pairCNNs → quantitative data analysis: 1 observed employer moves with this skill pairLegal documents → quantitative data analysis: 1 observed employer moves with this skill pairquantitativedata analysisrecurrent neural network: 1 movesrecurrent neuralnetwork1 movessupervised machine-learning: 1 movessupervisedmachine-learning1 movesclassical statistics: 1 movesclassicalstatistics1 movesRNNs: 1 movesRNNs1 movesexploratory data analysis: 1 movesexploratory dataanalysis1 movesquality control: 1 movesquality control1 movesCNNs: 1 movesCNNs1 movesLegal documents: 1 movesLegal documents1 moves

Skills after quantitative data analysis

After quantitative data analysisquantitative data analysis → Slack: 1 observed employer moves with this skill pairquantitative data analysis → HALO: 1 observed employer moves with this skill pairquantitative data analysis → data profiling: 1 observed employer moves with this skill pairquantitative data analysis → Pie charts: 1 observed employer moves with this skill pairquantitative data analysis → Data Mining: 1 observed employer moves with this skill pairquantitative data analysis → predictive analytics: 1 observed employer moves with this skill pairquantitative data analysis → data cleansing: 1 observed employer moves with this skill pairquantitative data analysis → Data Science: 1 observed employer moves with this skill pairquantitativedata analysisSlack: 1 movesSlack1 movesHALO: 1 movesHALO1 movesdata profiling: 1 movesdata profiling1 movesPie charts: 1 movesPie charts1 movesData Mining: 1 movesData Mining1 movespredictive analytics: 1 movespredictiveanalytics1 movesdata cleansing: 1 movesdata cleansing1 movesData Science: 1 movesData Science1 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: recurrent neural network1
Before: supervised machine-learning1
Before: classical statistics1
Before: RNNs1
Before: exploratory data analysis1
Before: quality control1
Before: CNNs1
Before: Legal documents1
After: Slack1
After: HALO1
After: data profiling1
After: Pie charts1
After: Data Mining1
After: predictive analytics1
After: data cleansing1
After: Data Science1

Roles most likely to require quantitative data analysis

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

RolePostings mentioning skill% of role postings mentioning skill
UX Researcher73.4%
Engagement Manager11.6%
Digital Product Manager21.6%
UX/UI Designer21.2%
UX Designer30.6%
Product Manager360.3%
Product Designer70.2%
Business Intelligence Analyst10.2%
Program Manager70.1%
Product Owner20.1%

Roles with the most quantitative data analysis postings

RolePostings mentioning skillShare of skill postings
Product Manager3640.9%
Product Designer78.0%
Program Manager78.0%
UX Researcher78.0%
Business Analyst33.4%
Data Analyst33.4%
UX Designer33.4%
Digital Product Manager22.3%
Product Owner22.3%
Solution Architect22.3%

Top companies posting jobs requiring quantitative data analysis

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

Top companies posting jobs requiring quantitative data analysis
CompanyPostings · 90 days
Twilio4
Tailscale4
Stripe3
Google2
Mastercard2
eBay2
Clarivate2
Cox2
Dev2
Cigna2

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 data analysis

NamePostingsShare
Toronto44.5%
Austin33.4%
Berlin33.4%
Amsterdam22.3%
Atlanta22.3%
Bengaluru22.3%
Dallas22.3%
New York City22.3%
San Francisco22.3%

Skills commonly paired with quantitative data analysis

qualitative data analysis (45)Product Management (20)Data analysis (17)usability testing (15)prototyping (12)A/B testing (11)product strategy (11)Agile (10)user research (9)Qualitative research (9)

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 2026-10-29. 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 data analysis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s quantitative data analysis postings by all quantitative data analysis 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). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
622c5cce5bce5630
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index