analytics jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, analytics appears in 3,546 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning analytics, with demand down 43% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about analytics
+Is analytics in demand in 2026?
Yes. analytics appears in 3,546 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 43% vs the prior 4 weeks. Product Manager accounts for the most postings mentioning analytics (20.7% of all postings mentioning analytics).
+What jobs require analytics?
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 analytics are iOS Developer (34.5% of that role’s postings mention analytics), Android Developer (27.8% of that role’s postings mention analytics), Analytics Director (22.2% of that role’s postings mention analytics).
+What skills are commonly paired with analytics?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), analytics most often appears alongside SQL, Python, Product Management, APIs, automation.
+Where is analytics most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring analytics are New York City, San Francisco, London, Bengaluru, Singapore, according to the Skillenai jobs index.
+How can I keep up with new analytics content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning analytics alongside the jobs index. You can subscribe to a daily email digest of new analytics content from your Skillenai account.
Weekly job postings requiring analytics — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require analytics
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| iOS Developer | 89 | 34.5% |
| Android Developer | 72 | 27.8% |
| Analytics Director | 24 | 22.2% |
| Mobile Engineer | 71 | 20.2% |
| Product Operations Manager | 5 | 20.0% |
| Digital Product Owner | 4 | 19.0% |
| Digital Product Manager | 21 | 18.3% |
| Mobile Developer | 29 | 18.2% |
| Product Management Director | 4 | 18.2% |
| Delivery Solutions Architect | 8 | 17.0% |
Roles with the most analytics postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 735 | 20.7% |
| Software Engineer | 163 | 4.6% |
| Product Designer | 100 | 2.8% |
| iOS Developer | 89 | 2.5% |
| Data Scientist | 82 | 2.3% |
| Android Developer | 72 | 2.0% |
| Mobile Engineer | 71 | 2.0% |
| Program Manager | 69 | 1.9% |
| Product Owner | 64 | 1.8% |
| Business Analyst | 58 | 1.6% |
Top metros hiring for analytics
| Name | Postings | Share |
|---|---|---|
| New York City | 161 | 4.5% |
| San Francisco | 129 | 3.6% |
| London | 85 | 2.4% |
| Bengaluru | 63 | 1.8% |
| Singapore | 49 | 1.4% |
| Toronto | 41 | 1.2% |
| Seattle | 37 | 1.0% |
| Austin | 34 | 1.0% |
| Chicago | 34 | 1.0% |
Skills commonly paired with analytics
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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 analytics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s analytics postings by all analytics 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
- 725d72efcd878fae
- data_as_of
- 2026-09-28
- 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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