advanced analytics jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, advanced analytics appears in 666 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning advanced analytics, with demand share up 8.0% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about advanced analytics
+Is advanced analytics in demand in 2026?
Yes. advanced analytics appears in 666 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Scientist accounts for the most postings mentioning advanced analytics (15.5% of all postings mentioning advanced analytics).
+What jobs require advanced analytics?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning advanced analytics are Advanced Analytics Lead (21.7% of that role’s postings mention advanced analytics), Quantitative Risk Analyst (9.1% of that role’s postings mention advanced analytics), Data Science Director (8.6% of that role’s postings mention advanced analytics).
+What skills are commonly paired with advanced analytics?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), advanced analytics most often appears alongside machine learning, Python, SQL, data science, data visualization.
+Where is advanced analytics most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring advanced analytics are New York City, Alexandria, Chicago, Pune, Boston, according to the Skillenai jobs index.
+How can I keep up with new advanced analytics content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning advanced analytics alongside the jobs index. You can subscribe to a daily email digest of new advanced analytics content from your Skillenai account.
+Which skills come before and after advanced analytics?
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 advanced analytics — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around advanced analytics
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before advanced analytics
Skills after advanced analytics
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: Business Intelligence | 3 |
| Before: Tableau | 3 |
| Before: a/b testing | 2 |
| Before: python | 2 |
| Before: Quality Assurance | 2 |
| Before: sql | 2 |
| Before: data warehouse | 2 |
| Before: data analysis | 2 |
| After: forecasting | 3 |
| After: python | 3 |
| After: sql | 3 |
| After: databricks | 3 |
| After: machine learning | 3 |
| After: predictive analytics | 2 |
| After: customer segmentation | 2 |
| After: statistical modeling | 2 |
Roles most likely to require advanced analytics
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Advanced Analytics Lead | 5 | 21.7% |
| Quantitative Risk Analyst | 2 | 9.1% |
| Data Science Director | 5 | 8.6% |
| Data Analytics Director | 2 | 8.3% |
| Analytics Specialist | 2 | 7.7% |
| Analytics Director | 7 | 6.4% |
| Business Intelligence Manager | 6 | 6.3% |
| AI Scientist | 5 | 5.7% |
| Data Analytics Consultant | 2 | 5.6% |
| AI Data Scientist | 1 | 5.0% |
Roles with the most advanced analytics postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 103 | 15.5% |
| Data Analyst | 28 | 4.2% |
| Product Manager | 27 | 4.1% |
| Business Analyst | 15 | 2.3% |
| Data Science Manager | 10 | 1.5% |
| Program Manager | 9 | 1.4% |
| Systems Engineer | 8 | 1.2% |
| Analytics Director | 7 | 1.1% |
| Data Engineer | 7 | 1.1% |
| Analytics Manager | 6 | 0.9% |
Top companies posting jobs requiring advanced analytics
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Barclays | 28 |
| JJ | 21 |
| ProSidian Consulting | 20 |
| NielsenIQ | 13 |
| BlackRock | 9 |
| Beghou | 9 |
| WPP | 8 |
| AbbVie | 8 |
| Mastercard | 7 |
| BCG | 7 |
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 advanced analytics
| Name | Postings | Share |
|---|---|---|
| New York City | 31 | 4.7% |
| Alexandria | 21 | 3.2% |
| Chicago | 11 | 1.7% |
| Pune | 11 | 1.7% |
| Boston | 10 | 1.5% |
| Bengaluru | 9 | 1.4% |
| Gurugram | 9 | 1.4% |
| London | 9 | 1.4% |
| San Francisco | 8 | 1.2% |
Skills commonly paired with advanced analytics
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 advanced analytics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s advanced analytics postings by all advanced analytics 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: 0.3% to 0.3%. 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 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- edcd5cfad2db1976
- data_as_of
- 2026-09-30
- 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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