Key performance indicators (KPIs) jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-14, Key performance indicators (KPIs) appears in 230 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Key performance indicators (KPIs), with demand share down 10.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-14
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Frequently asked questions about Key performance indicators (KPIs)
+Is Key performance indicators (KPIs) in demand in 2026?
Yes. Key performance indicators (KPIs) appears in 230 job postings indexed by Skillenai over the 90 days ending 2026-10-14. Product Manager accounts for the most postings mentioning Key performance indicators (KPIs) (19.6% of all postings mentioning Key performance indicators (KPIs)).
+What jobs require Key performance indicators (KPIs)?
According to the Skillenai jobs index over the 90 days ending 2026-10-14, among roles with at least 20 postings, the highest shares mentioning Key performance indicators (KPIs) are Solutions Architect Manager (13.0% of that role’s postings mention Key performance indicators (KPIs)), Business Analytics Manager (5.2% of that role’s postings mention Key performance indicators (KPIs)), Process Architect (5.0% of that role’s postings mention Key performance indicators (KPIs)).
+What skills are commonly paired with Key performance indicators (KPIs)?
Across job postings indexed by Skillenai (90 days ending 2026-10-14), Key performance indicators (KPIs) most often appears alongside Data analysis, project management, data visualization, program management, Risk Management.
+Where is Key performance indicators (KPIs) most in demand?
As of 2026-10-14, the metro areas posting the most jobs requiring Key performance indicators (KPIs) are Washington, New York City, Chicago, Tokyo, Arlington, according to the Skillenai jobs index.
+How can I keep up with new Key performance indicators (KPIs) content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Key performance indicators (KPIs) alongside the jobs index. You can subscribe to a daily email digest of new Key performance indicators (KPIs) content from your Skillenai account.
+Which skills come before and after Key performance indicators (KPIs)?
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 Key performance indicators (KPIs) — last 90 days
Career paths around Key performance indicators (KPIs)
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Key performance indicators (KPIs)
Skills after Key performance indicators (KPIs)
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: Power BI | 3 |
| Before: Data Mining | 2 |
| Before: sql | 2 |
| Before: technical specifications | 2 |
| Before: predictive modeling | 2 |
| Before: Market Research | 2 |
| Before: documentation | 2 |
| Before: reporting | 2 |
| After: python | 4 |
| After: sql | 3 |
| After: Excel | 3 |
| After: ETL | 3 |
| After: Power BI | 2 |
| After: data cleaning | 2 |
| After: data integrity | 2 |
| After: Tableau | 2 |
Roles most likely to require Key performance indicators (KPIs)
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Solutions Architect Manager | 3 | 13.0% |
| Business Analytics Manager | 3 | 5.2% |
| Process Architect | 1 | 5.0% |
| Decision Scientist | 2 | 4.8% |
| Strategic Program Manager | 1 | 4.8% |
| Commercial Analytics Manager | 1 | 4.2% |
| ML Engineering Manager | 1 | 4.2% |
| Marketing Analytics Director | 1 | 4.0% |
| Scrum Master | 1 | 3.8% |
| Business Intelligence Lead | 1 | 3.6% |
Roles with the most Key performance indicators (KPIs) postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 45 | 19.6% |
| Program Manager | 32 | 13.9% |
| Business Analyst | 11 | 4.8% |
| Data Analyst | 8 | 3.5% |
| Data Scientist | 5 | 2.2% |
| Digital Product Manager | 4 | 1.7% |
| Product Owner | 4 | 1.7% |
| Quality Assurance Specialist | 4 | 1.7% |
| Systems Engineer | 4 | 1.7% |
| Technical Program Manager | 4 | 1.7% |
Top companies posting jobs requiring Key performance indicators (KPIs)
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| HP | 6 |
| U.S. Bank | 6 |
| Globalpr | 5 |
| 4 | |
| Nelnet | 4 |
| CHAOS Industries | 4 |
| Bosch | 4 |
| JJ | 4 |
| Rogo | 3 |
| Abbott | 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 Key performance indicators (KPIs)
| Name | Postings | Share |
|---|---|---|
| Washington | 8 | 3.5% |
| New York City | 6 | 2.6% |
| Chicago | 4 | 1.7% |
| Tokyo | 4 | 1.7% |
| Arlington | 3 | 1.3% |
| Bengaluru | 3 | 1.3% |
| London | 3 | 1.3% |
| Denver | 2 | 0.9% |
| Evanston | 2 | 0.9% |
Skills commonly paired with Key performance indicators (KPIs)
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14. 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 Key performance indicators (KPIs) by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Key performance indicators (KPIs) postings by all Key performance indicators (KPIs) 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 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (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
- d0b3e4f3b8773ecd
- data_as_of
- 2026-10-14
- 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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