customer insights jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, customer insights appears in 181 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning customer insights, with demand share down 21.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want customer insights?
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Frequently asked questions about customer insights
+Is customer insights in demand in 2026?
Yes. customer insights appears in 181 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning customer insights (69.6% of all postings mentioning customer insights).
+What jobs require customer insights?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning customer insights are Marketing Analytics Director (4.0% of that role’s postings mention customer insights), Digital Product Manager (3.9% of that role’s postings mention customer insights), AI Product Owner (2.7% of that role’s postings mention customer insights).
+What skills are commonly paired with customer insights?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), customer insights most often appears alongside product strategy, Product Management, Product roadmap, stakeholder management, market research.
+Where is customer insights most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring customer insights are Sydney, Toronto, Deerfield, San Francisco, San Jose, according to the Skillenai jobs index.
+How can I keep up with new customer insights content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning customer insights alongside the jobs index. You can subscribe to a daily email digest of new customer insights content from your Skillenai account.
+Which skills come before and after customer insights?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring customer insights — last 90 days
Career paths around customer insights
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before customer insights
Skills after customer insights
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: customer journey mapping | 1 |
| Before: enterprise analytic platform | 1 |
| Before: booking systems | 1 |
| Before: Support tickets | 1 |
| Before: Stock Exchange | 1 |
| Before: Pharmaceuticals | 1 |
| Before: health outcomes | 1 |
| Before: a/b testing | 1 |
| After: MobileMini | 1 |
| After: Canva | 1 |
| After: Product Recommendations | 1 |
| After: credible sources | 1 |
| After: Social media presence | 1 |
| After: Kendall-Jackson | 1 |
| After: technical presentations | 1 |
| After: web traffic | 1 |
Roles most likely to require customer insights
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Marketing Analytics Director | 1 | 4.0% |
| Digital Product Manager | 5 | 3.9% |
| AI Product Owner | 1 | 2.7% |
| Lead Product Manager | 1 | 1.5% |
| Product Manager | 126 | 1.0% |
| Analytics Director | 1 | 0.9% |
| Group Product Manager | 1 | 0.9% |
| Principal Product Manager | 1 | 0.5% |
| Engineering Director | 1 | 0.5% |
| UX Designer | 2 | 0.4% |
Roles with the most customer insights postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 126 | 69.6% |
| Digital Product Manager | 5 | 2.8% |
| Product Owner | 4 | 2.2% |
| Product Designer | 3 | 1.7% |
| Agile Product Owner | 2 | 1.1% |
| Program Manager | 2 | 1.1% |
| Solution Architect | 2 | 1.1% |
| UX Designer | 2 | 1.1% |
| AI Product Owner | 1 | 0.6% |
| Analytics Director | 1 | 0.6% |
Top companies posting jobs requiring customer insights
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Barclays | 8 |
| MSD | 6 |
| Capital One | 5 |
| Fortune Brands Innovations | 4 |
| Frame.io | 4 |
| Chime | 3 |
| CBA | 3 |
| Kaseya | 3 |
| Atlys | 3 |
| ING | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for customer insights
| Name | Postings | Share |
|---|---|---|
| Sydney | 7 | 3.9% |
| Toronto | 7 | 3.9% |
| Deerfield | 4 | 2.2% |
| San Francisco | 4 | 2.2% |
| San Jose | 4 | 2.2% |
| Bengaluru | 3 | 1.7% |
| Charlotte | 3 | 1.7% |
| Delhi | 3 | 1.7% |
| London | 3 | 1.7% |
Skills commonly paired with customer insights
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 customer insights by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s customer insights postings by all customer insights 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 3807a77e7ef85a49
- data_as_of
- 2026-10-29
- window_days
- 90