Performance analysis jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-20, Performance analysis appears in 482 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Performance analysis, with demand share up 4.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-20
Which roles want Performance analysis?
Upload your resume and Skillenai will show which roles your Performance analysis experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Performance analysis
+Is Performance analysis in demand in 2026?
Yes. Performance analysis appears in 482 job postings indexed by Skillenai over the 90 days ending 2026-10-20. Software Engineer accounts for the most postings mentioning Performance analysis (22.2% of all postings mentioning Performance analysis).
+What jobs require Performance analysis?
According to the Skillenai jobs index over the 90 days ending 2026-10-20, among roles with at least 20 postings, the highest shares mentioning Performance analysis are AI Deployment Manager (18.2% of that role’s postings mention Performance analysis), Storage Architect (14.3% of that role’s postings mention Performance analysis), Infrastructure Software Engineer (13.0% of that role’s postings mention Performance analysis).
+What skills are commonly paired with Performance analysis?
Across job postings indexed by Skillenai (90 days ending 2026-10-20), Performance analysis most often appears alongside Python, C++, debugging, Distributed systems, Linux.
+Where is Performance analysis most in demand?
As of 2026-10-20, the metro areas posting the most jobs requiring Performance analysis are San Jose, Santa Clara, Woburn, Bengaluru, Huntsville, according to the Skillenai jobs index.
+How can I keep up with new Performance analysis content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Performance analysis alongside the jobs index. You can subscribe to a daily email digest of new Performance analysis content from your Skillenai account.
+Which skills come before and after Performance analysis?
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 Performance analysis — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Performance analysis
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Performance analysis
Skills after Performance analysis
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 | 6 |
| Before: python | 3 |
| Before: Power BI | 3 |
| Before: Visual Studio | 3 |
| Before: R | 3 |
| Before: C# | 2 |
| Before: SOAP | 2 |
| Before: Tableau | 2 |
| After: python | 5 |
| After: sql | 3 |
| After: EC2 | 2 |
| After: Java | 2 |
| After: Android | 2 |
| After: SSIS | 2 |
| After: iOS | 2 |
| After: AWS | 2 |
Roles most likely to require Performance analysis
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Deployment Manager | 4 | 18.2% |
| Storage Architect | 3 | 14.3% |
| Infrastructure Software Engineer | 3 | 13.0% |
| Propulsion Test Engineer | 2 | 10.0% |
| Performance Engineer | 6 | 9.4% |
| RF Systems Engineer | 3 | 5.9% |
| AI Enablement Specialist | 1 | 5.0% |
| Analytics Associate | 1 | 5.0% |
| Hardware Architect | 1 | 4.5% |
| SoC Architect | 1 | 4.5% |
Roles with the most Performance analysis postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 107 | 22.2% |
| Systems Engineer | 63 | 13.1% |
| Engineering Manager | 9 | 1.9% |
| Embedded Software Engineer | 7 | 1.5% |
| Product Manager | 7 | 1.5% |
| Performance Engineer | 6 | 1.2% |
| System Software Engineer | 6 | 1.2% |
| Compiler Engineer | 5 | 1.0% |
| Machine Learning Engineer | 5 | 1.0% |
| Technical Consultant | 5 | 1.0% |
Top companies posting jobs requiring Performance analysis
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| NVIDIA | 46 |
| Globalpr | 13 |
| 11 | |
| Starfish | 8 |
| SentinelOne | 8 |
| Cisco | 8 |
| General Motors | 7 |
| InterSystems | 6 |
| Advanced Micro Devices Inc. | 5 |
| Cerebras | 5 |
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 Performance analysis
| Name | Postings | Share |
|---|---|---|
| San Jose | 14 | 2.9% |
| Santa Clara | 14 | 2.9% |
| Woburn | 11 | 2.3% |
| Bengaluru | 10 | 2.1% |
| Huntsville | 9 | 1.9% |
| London | 9 | 1.9% |
| Toronto | 7 | 1.5% |
| Austin | 6 | 1.2% |
| Chicago | 6 | 1.2% |
Skills commonly paired with Performance analysis
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-20. 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 Performance analysis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Performance analysis postings by all Performance analysis 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: 0.2% to 0.2%. 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 2,610 identified employers and covers 72% of earlier and 73% of latest indexed postings. Windows: 2026-06-23 to 2026-09-21 and 2026-07-21 to 2026-10-19 (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
- e1c88f173eca89ce
- data_as_of
- 2026-10-20
- window_days
- 90