sentiment analysis jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, sentiment analysis appears in 206 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning sentiment analysis.
Last updated · 90d ending 2026-10-30
Which roles want sentiment analysis?
Upload your resume and Skillenai will show which roles your sentiment analysis experience fits, which skills you already cover, and what is missing.
Frequently asked questions about sentiment analysis
+Is sentiment analysis in demand in 2026?
Yes. sentiment analysis appears in 206 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Scientist accounts for the most postings mentioning sentiment analysis (46.6% of all postings mentioning sentiment analysis).
+What jobs require sentiment analysis?
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 sentiment analysis are Data Science Lead (17.4% of that role’s postings mention sentiment analysis), Data Science Director (6.6% of that role’s postings mention sentiment analysis), Engineering Leader (4.8% of that role’s postings mention sentiment analysis).
+What skills are commonly paired with sentiment analysis?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), sentiment analysis most often appears alongside Python, machine learning, clustering, SQL, classification.
+Where is sentiment analysis most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring sentiment analysis are McLean, New York City, Madrid, Mexico City, San Antonio, according to the Skillenai jobs index.
+How can I keep up with new sentiment analysis content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning sentiment analysis alongside the jobs index. You can subscribe to a daily email digest of new sentiment analysis content from your Skillenai account.
+Which skills come before and after sentiment 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 sentiment analysis — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around sentiment analysis
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before sentiment analysis
Skills after sentiment 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: python | 48 |
| Before: sql | 25 |
| Before: Tableau | 20 |
| Before: Power BI | 17 |
| Before: tensorflow | 13 |
| Before: NLP | 10 |
| Before: scikit-learn | 10 |
| Before: ETL | 10 |
| After: python | 26 |
| After: Tableau | 23 |
| After: sql | 17 |
| After: kubernetes | 13 |
| After: AWS | 12 |
| After: pandas | 11 |
| After: ETL | 11 |
| After: numpy | 10 |
Roles most likely to require sentiment analysis
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Data Science Lead | 4 | 17.4% |
| Data Science Director | 4 | 6.6% |
| Engineering Leader | 1 | 4.8% |
| Business Manager | 1 | 4.3% |
| Data Science Manager | 8 | 3.7% |
| Principal Data Scientist | 1 | 2.6% |
| AI Trainer | 3 | 2.0% |
| Success Architect | 1 | 1.8% |
| Data Scientist | 96 | 1.7% |
| Data Science Consultant | 1 | 1.5% |
Roles with the most sentiment analysis postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 96 | 46.6% |
| Data Science Manager | 8 | 3.9% |
| Data Analyst | 7 | 3.4% |
| Product Manager | 6 | 2.9% |
| AI Engineer | 4 | 1.9% |
| Business Analyst | 4 | 1.9% |
| Data Science Director | 4 | 1.9% |
| Data Science Lead | 4 | 1.9% |
| Solutions Architect | 4 | 1.9% |
| AI & Machine Learning Engineer | 3 | 1.5% |
Top companies posting jobs requiring sentiment analysis
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Capital One | 77 |
| CACI | 6 |
| Ebury | 4 |
| Experian | 4 |
| USAA | 3 |
| Fractal | 3 |
| Accenture | 3 |
| Veeva Systems | 3 |
| Empower | 2 |
| TechMagic | 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 sentiment analysis
| Name | Postings | Share |
|---|---|---|
| McLean | 10 | 4.9% |
| New York City | 8 | 3.9% |
| Madrid | 5 | 2.4% |
| Mexico City | 3 | 1.5% |
| San Antonio | 3 | 1.5% |
| Toronto | 3 | 1.5% |
| Cyberjaya | 2 | 1.0% |
| Milpitas | 2 | 1.0% |
| Needham | 2 | 1.0% |
Skills commonly paired with sentiment analysis
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 sentiment analysis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s sentiment analysis postings by all sentiment 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 9034d9baff7e2717
- data_as_of
- 2026-10-30
- window_days
- 90