SPSS jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, SPSS appears in 189 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning SPSS, with demand share down 5.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want SPSS?
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Frequently asked questions about SPSS
+Is SPSS in demand in 2026?
Yes. SPSS appears in 189 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Analyst accounts for the most postings mentioning SPSS (15.9% of all postings mentioning SPSS).
+What jobs require SPSS?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning SPSS are Marketing Analyst (10.3% of that role’s postings mention SPSS), Business Intelligence Specialist (5.9% of that role’s postings mention SPSS), Research Associate (5.9% of that role’s postings mention SPSS).
+What skills are commonly paired with SPSS?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), SPSS most often appears alongside R, Python, SAS, SQL, data visualization.
+Where is SPSS most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring SPSS are Bangkok, New York City, Bengaluru, Washington, Cleveland, according to the Skillenai jobs index.
+How can I keep up with new SPSS content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning SPSS alongside the jobs index. You can subscribe to a daily email digest of new SPSS content from your Skillenai account.
+Which skills come before and after SPSS?
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 SPSS — last 90 days
Career paths around SPSS
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before SPSS
Skills after SPSS
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: sql | 17 |
| Before: Excel | 16 |
| Before: python | 13 |
| Before: Tableau | 12 |
| Before: R | 10 |
| Before: Power BI | 7 |
| Before: pandas | 5 |
| Before: numpy | 4 |
| After: sql | 20 |
| After: R | 14 |
| After: Excel | 13 |
| After: python | 11 |
| After: Tableau | 11 |
| After: Power BI | 11 |
| After: SAS | 7 |
| After: machine learning | 6 |
Roles most likely to require SPSS
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Marketing Analyst | 9 | 10.3% |
| Business Intelligence Specialist | 2 | 5.9% |
| Research Associate | 2 | 5.9% |
| People Analytics Analyst | 1 | 5.0% |
| Research Fellow | 1 | 5.0% |
| Clinical Data Analyst | 1 | 4.3% |
| Data Science Lead | 1 | 4.3% |
| Professor | 1 | 4.3% |
| Business Intelligence Intern | 1 | 4.0% |
| Data Analytics Specialist | 1 | 3.6% |
Roles with the most SPSS postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Analyst | 30 | 15.9% |
| Data Scientist | 29 | 15.3% |
| Marketing Analyst | 9 | 4.8% |
| Program Manager | 6 | 3.2% |
| Analyst | 5 | 2.6% |
| UX Researcher | 5 | 2.6% |
| Analytics & Reporting Consultant | 2 | 1.1% |
| Analytics Consultant | 2 | 1.1% |
| Analytics Manager | 2 | 1.1% |
| Analytics and Reporting Consultant | 2 | 1.1% |
Top companies posting jobs requiring SPSS
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Agoda | 14 |
| Health Care Service Corporation | 8 |
| Brillio | 7 |
| U.S. Bank | 6 |
| NielsenIQ | 5 |
| USGCB | 5 |
| CCF | 5 |
| WPP | 4 |
| HPE | 4 |
| Nimble Storage | 4 |
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 SPSS
| Name | Postings | Share |
|---|---|---|
| Bangkok | 14 | 7.4% |
| New York City | 8 | 4.2% |
| Bengaluru | 4 | 2.1% |
| Washington | 4 | 2.1% |
| Cleveland | 3 | 1.6% |
| McLean | 3 | 1.6% |
| São Paulo | 3 | 1.6% |
| Atlanta | 2 | 1.1% |
| Boston | 2 | 1.1% |
Skills commonly paired with SPSS
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 2026-10-30. 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 SPSS by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s SPSS postings by all SPSS 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
- 170c8ec5e73494f0
- data_as_of
- 2026-10-30
- window_days
- 90