data interpretation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-13, data interpretation appears in 241 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning data interpretation, with demand share down 4.0% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-13
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Frequently asked questions about data interpretation
+Is data interpretation in demand in 2026?
Yes. data interpretation appears in 241 job postings indexed by Skillenai over the 90 days ending 2026-10-13. Data Analyst accounts for the most postings mentioning data interpretation (9.5% of all postings mentioning data interpretation).
+What jobs require data interpretation?
According to the Skillenai jobs index over the 90 days ending 2026-10-13, among roles with at least 20 postings, the highest shares mentioning data interpretation are Clinical Research Scientist (10.0% of that role’s postings mention data interpretation), AI Analyst (6.5% of that role’s postings mention data interpretation), Marketing Analytics Lead (5.0% of that role’s postings mention data interpretation).
+What skills are commonly paired with data interpretation?
Across job postings indexed by Skillenai (90 days ending 2026-10-13), data interpretation most often appears alongside Data analysis, Excel, SQL, data visualization, Python.
+Where is data interpretation most in demand?
As of 2026-10-13, the metro areas posting the most jobs requiring data interpretation are New York City, Mumbai, Boston, Toronto, Atlanta, according to the Skillenai jobs index.
+How can I keep up with new data interpretation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data interpretation alongside the jobs index. You can subscribe to a daily email digest of new data interpretation content from your Skillenai account.
+Which skills come before and after data interpretation?
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 data interpretation — last 90 days
Career paths around data interpretation
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data interpretation
Skills after data interpretation
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: python | 2 |
| Before: Amazon Transcribe | 1 |
| Before: export editing | 1 |
| Before: Indexing | 1 |
| Before: test cases | 1 |
| Before: test data | 1 |
| Before: ETL pipelines | 1 |
| Before: ETL | 1 |
| After: python | 3 |
| After: predictive models | 2 |
| After: cross-functional teams | 1 |
| After: automation | 1 |
| After: MYSQL | 1 |
| After: data entry | 1 |
| After: Spring Boot | 1 |
| After: Cpk/Ppk | 1 |
Roles most likely to require data interpretation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Clinical Research Scientist | 2 | 10.0% |
| AI Analyst | 2 | 6.5% |
| Marketing Analytics Lead | 1 | 5.0% |
| Quality Assurance Coordinator | 2 | 4.5% |
| Clinical Data Analyst | 1 | 4.3% |
| Commercial Analytics Manager | 1 | 4.2% |
| Data Science Intern | 2 | 3.8% |
| Test Engineering Manager | 1 | 3.4% |
| Data Science Analyst | 1 | 3.1% |
| Quality Engineering Manager | 1 | 3.1% |
Roles with the most data interpretation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Analyst | 23 | 9.5% |
| Business Analyst | 14 | 5.8% |
| Product Manager | 13 | 5.4% |
| Research Scientist | 12 | 5.0% |
| Data Scientist | 11 | 4.6% |
| Product Designer | 9 | 3.7% |
| AI Training Analyst | 5 | 2.1% |
| Analytics Manager | 3 | 1.2% |
| Product Owner | 3 | 1.2% |
| Program Manager | 3 | 1.2% |
Top companies posting jobs requiring data interpretation
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| OpenBrain | 37 |
| City of New York | 5 |
| PadSplit | 5 |
| Pfizer | 4 |
| Centers for Medicare & Medicaid Services | 3 |
| NielsenIQ | 3 |
| Amgen | 3 |
| RBC | 3 |
| Integrated Resources | 2 |
| TikTok | 2 |
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 data interpretation
| Name | Postings | Share |
|---|---|---|
| New York City | 8 | 3.3% |
| Mumbai | 6 | 2.5% |
| Boston | 5 | 2.1% |
| Toronto | 4 | 1.7% |
| Atlanta | 3 | 1.2% |
| Bengaluru | 3 | 1.2% |
| Cambridge | 3 | 1.2% |
| San Francisco | 3 | 1.2% |
| Carlisle | 2 | 0.8% |
Skills commonly paired with data interpretation
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-13. 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 data interpretation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data interpretation postings by all data interpretation 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
- 999de17cc662ed5b
- data_as_of
- 2026-10-13
- 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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