Time Series analysis jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, Time Series analysis appears in 183 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning Time Series analysis, with demand down 45% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
183
Demand vs prior month
down 45% vs the prior 4 weeks
Top role · 29.5% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Time Series analysis

+Is Time Series analysis in demand in 2026?

Yes. Time Series analysis appears in 183 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 45% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning Time Series analysis (29.5% of all postings mentioning Time Series analysis).

+What jobs require Time Series analysis?

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 Time Series analysis are Quantitative Researcher (10.4% of that role’s postings mention Time Series analysis), Senior Data Scientist (7.7% of that role’s postings mention Time Series analysis), Data Science Director (7.0% of that role’s postings mention Time Series analysis).

+What skills are commonly paired with Time Series analysis?

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

+Where is Time Series analysis most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring Time Series analysis are New York City, Chicago, Hong Kong, Bengaluru, Berlin, according to the Skillenai jobs index.

+How can I keep up with new Time Series analysis content and jobs?

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

Weekly job postings requiring Time Series analysis — last 90 days

Roles most likely to require Time Series analysis

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

RolePostings mentioning skill% of role postings mentioning skill
Quantitative Researcher1810.4%
Senior Data Scientist27.7%
Data Science Director47.0%
Quantitative Risk Analyst14.8%
Marketing Analyst34.5%
AI Research Intern14.5%
Artificial Intelligence Engineer14.2%
Machine Learning Researcher12.6%
Principal Data Scientist12.6%
Data Scientist Intern22.4%

Roles with the most Time Series analysis postings

RolePostings mentioning skillShare of skill postings
Data Scientist5429.5%
Quantitative Researcher189.8%
Data Analyst116.0%
Machine Learning Engineer63.3%
Software Engineer63.3%
ML Engineer52.7%
Data Science Director42.2%
Data Science Manager31.6%
Marketing Analyst31.6%
Product Analytics Lead31.6%

Top metros hiring for Time Series analysis

NamePostingsShare
New York City147.7%
Chicago73.8%
Hong Kong63.3%
Bengaluru42.2%
Berlin42.2%
London42.2%
Tallinn42.2%
Toronto42.2%
East Hanover31.6%

Skills commonly paired with Time Series analysis

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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 Time Series analysis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Time Series analysis postings by all Time Series 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).

source
Skillenai jobs index, deduplicated daily
entity_id
3904a5468d1500bf
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