window functions jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-04, window functions appears in 329 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning window functions.
Last updated · 90d ending 2026-11-04
Which roles want window functions?
Upload your resume and Skillenai will show which roles your window functions experience fits, which skills you already cover, and what is missing.
Frequently asked questions about window functions
+Is window functions in demand in 2026?
Yes. window functions appears in 329 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Data Analyst accounts for the most postings mentioning window functions (20.7% of all postings mentioning window functions).
+What jobs require window functions?
According to the Skillenai jobs index over the 90 days ending 2026-11-04, among roles with at least 20 postings, the highest shares mentioning window functions are Database Developer (9.7% of that role’s postings mention window functions), Financial Data Analyst (6.9% of that role’s postings mention window functions), Business Intelligence Developer (6.0% of that role’s postings mention window functions).
+What skills are commonly paired with window functions?
Across job postings indexed by Skillenai (90 days ending 2026-11-04), window functions most often appears alongside SQL, Python, CTEs, DBT, Snowflake.
+Where is window functions most in demand?
As of 2026-11-04, the metro areas posting the most jobs requiring window functions are New York City, Bengaluru, Guadalajara, San Francisco, Chicago, according to the Skillenai jobs index.
+How can I keep up with new window functions content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning window functions alongside the jobs index. You can subscribe to a daily email digest of new window functions content from your Skillenai account.
+Which skills come before and after window functions?
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 window functions — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around window functions
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before window functions
Skills after window functions
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 | 11 |
| Before: python | 9 |
| Before: Tableau | 6 |
| Before: Power BI | 5 |
| Before: snowflake | 5 |
| Before: ETL | 4 |
| Before: Excel | 4 |
| Before: pandas | 4 |
| After: PySpark | 5 |
| After: Hypothesis testing | 3 |
| After: DAX | 3 |
| After: SQL Server | 3 |
| After: python | 3 |
| After: Power BI | 3 |
| After: AWS Glue | 3 |
| After: Row-level security | 2 |
Roles most likely to require window functions
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Database Developer | 3 | 9.7% |
| Financial Data Analyst | 2 | 6.9% |
| Business Intelligence Developer | 6 | 6.0% |
| BI Engineer | 3 | 5.5% |
| BI Analyst | 2 | 5.4% |
| Product Data Analyst | 3 | 4.9% |
| DataOps Engineer | 1 | 4.3% |
| Business Intelligence Intern | 1 | 4.0% |
| Product Analyst | 8 | 3.9% |
| Analytics Engineer | 29 | 3.7% |
Roles with the most window functions postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Analyst | 68 | 20.7% |
| Data Engineer | 57 | 17.3% |
| Analytics Engineer | 29 | 8.8% |
| Software Engineer | 16 | 4.9% |
| Data Architect | 9 | 2.7% |
| Data Scientist | 9 | 2.7% |
| Product Analyst | 8 | 2.4% |
| Business Intelligence Analyst | 6 | 1.8% |
| Business Intelligence Developer | 6 | 1.8% |
| Business Analyst | 5 | 1.5% |
Top companies posting jobs requiring window functions
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Blend360 | 8 |
| ABOUT YOU SE & Co. KG | 7 |
| Truelogic | 6 |
| Stripe | 5 |
| Nagarro | 5 |
| Sigma Software | 4 |
| WGU | 4 |
| Upside | 4 |
| 4 | |
| SunnyData | 4 |
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 window functions
| Name | Postings | Share |
|---|---|---|
| New York City | 12 | 3.6% |
| Bengaluru | 7 | 2.1% |
| Guadalajara | 7 | 2.1% |
| San Francisco | 6 | 1.8% |
| Chicago | 5 | 1.5% |
| Hamburg | 5 | 1.5% |
| Singapore | 5 | 1.5% |
| Toronto | 5 | 1.5% |
| Berlin | 4 | 1.2% |
Skills commonly paired with window functions
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 2026-11-04. 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 window functions by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s window functions postings by all window functions 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
- e0aa9d2bba67e7d0
- data_as_of
- 2026-11-04
- window_days
- 90