measurement frameworks jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, measurement frameworks appears in 137 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning measurement frameworks, with demand share down 13.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want measurement frameworks?
Upload your resume and Skillenai will show which roles your measurement frameworks experience fits, which skills you already cover, and what is missing.
Frequently asked questions about measurement frameworks
+Is measurement frameworks in demand in 2026?
Yes. measurement frameworks appears in 137 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Scientist accounts for the most postings mentioning measurement frameworks (13.9% of all postings mentioning measurement frameworks).
+What jobs require measurement frameworks?
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 measurement frameworks are Analytics Engineering Director (9.1% of that role’s postings mention measurement frameworks), Decision Scientist (5.4% of that role’s postings mention measurement frameworks), Business Manager (4.5% of that role’s postings mention measurement frameworks).
+What skills are commonly paired with measurement frameworks?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), measurement frameworks most often appears alongside SQL, A/B testing, Python, experimentation, data visualization.
+Where is measurement frameworks most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring measurement frameworks are New York City, London, Seattle, San Francisco, Atlanta, according to the Skillenai jobs index.
+How can I keep up with new measurement frameworks content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning measurement frameworks alongside the jobs index. You can subscribe to a daily email digest of new measurement frameworks content from your Skillenai account.
+Which skills come before and after measurement frameworks?
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 measurement frameworks — last 90 days
Career paths around measurement frameworks
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before measurement frameworks
Skills after measurement frameworks
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: Team Performance | 1 |
| Before: assortment | 1 |
| Before: YoY growth | 1 |
| Before: Personalization | 1 |
| Before: storytelling | 1 |
| Before: P&L | 1 |
| After: MS Access | 1 |
| After: Power BI dashboards | 1 |
| After: MS Excel | 1 |
| After: UI | 1 |
| After: SSRS | 1 |
Roles most likely to require measurement frameworks
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Analytics Engineering Director | 2 | 9.1% |
| Decision Scientist | 2 | 5.4% |
| Business Manager | 1 | 4.5% |
| Head of Engineering | 7 | 3.9% |
| AI Strategist | 1 | 2.8% |
| AI Engineering Director | 1 | 2.0% |
| Analytics Director | 2 | 1.9% |
| Analytics Lead | 1 | 1.9% |
| Data Science Director | 1 | 1.6% |
| Marketing Analytics Manager | 1 | 1.5% |
Roles with the most measurement frameworks postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 19 | 13.9% |
| Product Manager | 15 | 10.9% |
| Data Analyst | 7 | 5.1% |
| Head of Engineering | 7 | 5.1% |
| Forward Deployed Engineer | 5 | 3.6% |
| Program Manager | 4 | 2.9% |
| Analytics Manager | 3 | 2.2% |
| Software Engineer | 3 | 2.2% |
| Strategy and Operations Manager | 3 | 2.2% |
| Analytics Director | 2 | 1.5% |
Top companies posting jobs requiring measurement frameworks
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Moniepoint | 7 |
| Expedia Group | 5 |
| Netflix | 5 |
| Truelogic | 4 |
| Wolt | 3 |
| Capital One | 3 |
| Fmr | 3 |
| WPP | 3 |
| 3 | |
| Coinbase | 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 measurement frameworks
| Name | Postings | Share |
|---|---|---|
| New York City | 12 | 8.8% |
| London | 7 | 5.1% |
| Seattle | 6 | 4.4% |
| San Francisco | 4 | 2.9% |
| Atlanta | 2 | 1.5% |
| Boston | 2 | 1.5% |
| Brooklyn | 2 | 1.5% |
| Durham | 2 | 1.5% |
| Indianapolis | 2 | 1.5% |
Skills commonly paired with measurement frameworks
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 measurement frameworks by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s measurement frameworks postings by all measurement frameworks 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
- 88c6922bac2c7dd4
- data_as_of
- 2026-10-30
- window_days
- 90