data manipulation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-17, data manipulation appears in 475 job postings indexed by Skillenai over the past 90 days — most often required for Data Scientist roles, with demand down 4% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-17
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Frequently asked questions about data manipulation
+Is data manipulation in demand in 2026?
Yes. data manipulation appears in 475 job postings indexed by Skillenai over the 90 days ending 2026-09-17, with demand down 4% vs the prior 4 weeks. It is most often required for Data Scientist roles (16% of Data Scientist postings list it).
+What jobs require data manipulation?
According to the Skillenai jobs index over the 90 days ending 2026-09-17, the job titles most likely to require data manipulation are Data Scientist (16% of postings list data manipulation), Data Analyst (13% of postings list data manipulation), Business Analyst (5% of postings list data manipulation).
+What skills are commonly paired with data manipulation?
Across job postings indexed by Skillenai (90 days ending 2026-09-17), data manipulation most often appears alongside Python, SQL, data visualization, R, Data analysis.
+Where is data manipulation most in demand?
As of 2026-09-17, the metro areas posting the most jobs requiring data manipulation are New York City, San Francisco, Toronto, Bengaluru, Arlington, according to the Skillenai jobs index.
+How can I keep up with new data manipulation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data manipulation alongside the jobs index. You can subscribe to a daily email digest of new data manipulation content from your Skillenai account.
Weekly job postings requiring data manipulation — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require data manipulation
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Scientist | 78 | 16.4% |
| Data Analyst | 60 | 12.6% |
| Business Analyst | 25 | 5.3% |
| Software Engineer | 19 | 4.0% |
| Product Manager | 18 | 3.8% |
| Data Engineer | 12 | 2.5% |
| Implementation Engineer | 8 | 1.7% |
| eDiscovery Analytics Lead | 7 | 1.5% |
| Analyst | 5 | 1.1% |
| AI Engineer | 4 | 0.8% |
Top metros hiring for data manipulation
| Name | Postings | Share |
|---|---|---|
| New York City | 15 | 3.2% |
| San Francisco | 15 | 3.2% |
| Toronto | 15 | 3.2% |
| Bengaluru | 14 | 2.9% |
| Arlington | 13 | 2.7% |
| London | 10 | 2.1% |
| Boston | 8 | 1.7% |
| Long Beach | 8 | 1.7% |
| Chicago | 6 | 1.3% |
Skills commonly paired with data manipulation
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-17. 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
- 48555f673d9c80d9
- data_as_of
- 2026-09-17
- 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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