data manipulation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-20, data manipulation appears in 349 job postings indexed by Skillenai over the past 90 days — most often required for Data Scientist roles, with demand down 2% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-20
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Frequently asked questions about data manipulation
+Is data manipulation in demand in 2026?
Yes. data manipulation appears in 349 job postings indexed by Skillenai over the 90 days ending 2026-08-20, with demand down 2% vs the prior 4 weeks. It is most often required for Data Scientist roles (20% of Data Scientist postings list it).
+What jobs require data manipulation?
According to the Skillenai jobs index over the 90 days ending 2026-08-20, the job titles most likely to require data manipulation are Data Scientist (20% of postings list data manipulation), Data Analyst (13% of postings list data manipulation), Data Engineer (3% of postings list data manipulation).
+What skills are commonly paired with data manipulation?
Across job postings indexed by Skillenai (90 days ending 2026-08-20), data manipulation most often appears alongside Python, SQL, data visualization, R, Data analysis.
+Where is data manipulation most in demand?
As of 2026-08-20, the metro areas posting the most jobs requiring data manipulation are New York City, London, San Francisco, Arlington, Long Beach, 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 | 70 | 20.1% |
| Data Analyst | 46 | 13.2% |
| Data Engineer | 11 | 3.2% |
| Business Analyst | 8 | 2.3% |
| Product Manager | 8 | 2.3% |
| Implementation Engineer | 7 | 2.0% |
| eDiscovery Analytics Lead | 7 | 2.0% |
| Software Engineer | 6 | 1.7% |
| Data Analyst Intern | 4 | 1.1% |
| Decision Scientist | 4 | 1.1% |
Top metros hiring for data manipulation
| Name | Postings | Share |
|---|---|---|
| New York City | 22 | 6.3% |
| London | 12 | 3.4% |
| San Francisco | 12 | 3.4% |
| Arlington | 8 | 2.3% |
| Long Beach | 7 | 2.0% |
| Bengaluru | 6 | 1.7% |
| Boston | 5 | 1.4% |
| Charlotte | 4 | 1.1% |
| Chicago | 4 | 1.1% |
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 2026-08-20. 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
- 2026-08-20
- 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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