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

As of 2026-09-28, data collection appears in 754 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning data collection, with demand down 29% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
754
Demand vs prior month
down 29% vs the prior 4 weeks
Top role · 5.8% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about data collection

+Is data collection in demand in 2026?

Yes. data collection appears in 754 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 29% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning data collection (5.8% of all postings mentioning data collection).

+What jobs require data collection?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning data collection are Data Analytics Analyst (10.0% of that role’s postings mention data collection), Research Program Manager (8.7% of that role’s postings mention data collection), Flight Test Engineer (7.5% of that role’s postings mention data collection).

+What skills are commonly paired with data collection?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), data collection most often appears alongside Data analysis, Python, machine learning, SQL, data visualization.

+Where is data collection most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring data collection are San Francisco, New York City, Mountain View, London, Sunnyvale, according to the Skillenai jobs index.

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

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

Weekly job postings requiring data collection — last 90 days

Salary distribution

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

Roles most likely to require data collection

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

RolePostings mentioning skill% of role postings mentioning skill
Data Analytics Analyst210.0%
Research Program Manager28.7%
Flight Test Engineer67.5%
Analytics Intern27.1%
Analytics Director65.6%
Test Engineering Manager15.0%
Researcher34.8%
Quantitative Risk Analyst14.8%
Space Systems Engineer24.7%
Simulation Software Engineer14.5%

Roles with the most data collection postings

RolePostings mentioning skillShare of skill postings
Data Scientist445.8%
Data Analyst415.4%
Product Manager344.5%
Program Manager324.2%
Software Engineer304.0%
Systems Engineer283.7%
Research Scientist192.5%
Business Analyst182.4%
Test Engineer152.0%
Machine Learning Engineer121.6%

Top metros hiring for data collection

NamePostingsShare
San Francisco344.5%
New York City192.5%
Mountain View182.4%
London152.0%
Sunnyvale131.7%
Austin111.5%
Paris101.3%
Singapore101.3%
Tucson91.2%

Skills commonly paired with data collection

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 data collection by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data collection postings by all data collection 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).

source
Skillenai jobs index, deduplicated daily
entity_id
eeecad1090a00a76
data_as_of
2026-09-28
window_days
90
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The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index