exploratory data analysis jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-15, exploratory data analysis appears in 335 job postings indexed by Skillenai over the past 90 days — most often required for Data Scientist roles, with demand down 15% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-15
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Frequently asked questions about exploratory data analysis
+Is exploratory data analysis in demand in 2026?
Yes. exploratory data analysis appears in 335 job postings indexed by Skillenai over the 90 days ending 2026-09-15, with demand down 15% vs the prior 4 weeks. It is most often required for Data Scientist roles (46% of Data Scientist postings list it).
+What jobs require exploratory data analysis?
According to the Skillenai jobs index over the 90 days ending 2026-09-15, the job titles most likely to require exploratory data analysis are Data Scientist (46% of postings list exploratory data analysis), Data Analyst (10% of postings list exploratory data analysis), ML Engineer (3% of postings list exploratory data analysis).
+What skills are commonly paired with exploratory data analysis?
Across job postings indexed by Skillenai (90 days ending 2026-09-15), exploratory data analysis most often appears alongside Python, SQL, machine learning, data visualization, R.
+Where is exploratory data analysis most in demand?
As of 2026-09-15, the metro areas posting the most jobs requiring exploratory data analysis are New York City, London, Bengaluru, San Francisco, Chicago, according to the Skillenai jobs index.
+How can I keep up with new exploratory data analysis content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning exploratory data analysis alongside the jobs index. You can subscribe to a daily email digest of new exploratory data analysis content from your Skillenai account.
Weekly job postings requiring exploratory data analysis — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require exploratory data analysis
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Scientist | 155 | 46.3% |
| Data Analyst | 35 | 10.4% |
| ML Engineer | 10 | 3.0% |
| Machine Learning Engineer | 10 | 3.0% |
| Data Scientist Intern | 7 | 2.1% |
| Data Engineer | 6 | 1.8% |
| Analytics Manager | 5 | 1.5% |
| Applied Scientist | 5 | 1.5% |
| Machine Learning Scientist | 5 | 1.5% |
| Product Data Scientist | 5 | 1.5% |
Top metros hiring for exploratory data analysis
| Name | Postings | Share |
|---|---|---|
| New York City | 15 | 4.5% |
| London | 13 | 3.9% |
| Bengaluru | 9 | 2.7% |
| San Francisco | 9 | 2.7% |
| Chicago | 6 | 1.8% |
| Toronto | 6 | 1.8% |
| Cincinnati | 5 | 1.5% |
| Montréal | 4 | 1.2% |
| Munich | 4 | 1.2% |
Skills commonly paired with exploratory data analysis
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-15. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 4a5d6b7c93a367f9
- data_as_of
- 2026-09-15
- window_days
- 90
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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