DAX jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, DAX appears in 680 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning DAX.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about DAX
+Is DAX in demand in 2026?
Yes. DAX appears in 680 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Analyst accounts for the most postings mentioning DAX (15.7% of all postings mentioning DAX).
+What jobs require DAX?
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 DAX are Power BI Developer (69.8% of that role’s postings mention DAX), BI Engineer (28.3% of that role’s postings mention DAX), BI Developer (19.1% of that role’s postings mention DAX).
+What skills are commonly paired with DAX?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), DAX most often appears alongside Power BI, SQL, data modeling, Python, Power Query.
+Where is DAX most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring DAX are Bengaluru, London, Madrid, Rio de Janeiro, Hyderabad, according to the Skillenai jobs index.
+How can I keep up with new DAX content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning DAX alongside the jobs index. You can subscribe to a daily email digest of new DAX content from your Skillenai account.
+Which skills come before and after DAX?
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 DAX — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around DAX
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before DAX
Skills after DAX
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 | 64 |
| Before: Power BI | 56 |
| Before: python | 53 |
| Before: Tableau | 46 |
| Before: Excel | 30 |
| Before: ETL | 20 |
| Before: SQL Server | 18 |
| Before: snowflake | 16 |
| After: sql | 24 |
| After: Tableau | 19 |
| After: python | 15 |
| After: Excel | 13 |
| After: snowflake | 12 |
| After: SSRS | 10 |
| After: stored procedures | 9 |
| After: SSIS | 9 |
Roles most likely to require DAX
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Power BI Developer | 60 | 69.8% |
| BI Engineer | 13 | 28.3% |
| BI Developer | 18 | 19.1% |
| Business Intelligence Developer | 19 | 17.1% |
| Power Platform Developer | 3 | 15.0% |
| Finance Data Analyst | 4 | 14.8% |
| Business Intelligence Lead | 4 | 11.1% |
| Azure Data Engineer | 4 | 10.8% |
| Business Intelligence Intern | 3 | 10.3% |
| Systems Analyst | 3 | 10.3% |
Roles with the most DAX postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Analyst | 107 | 15.7% |
| Power BI Developer | 60 | 8.8% |
| Data Engineer | 42 | 6.2% |
| Business Intelligence Analyst | 37 | 5.4% |
| Analytics Engineer | 32 | 4.7% |
| Business Intelligence Developer | 19 | 2.8% |
| BI Developer | 18 | 2.6% |
| Business Analyst | 14 | 2.1% |
| Software Engineer | 14 | 2.1% |
| BI Engineer | 13 | 1.9% |
Top companies posting jobs requiring DAX
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Sopra Steria | 17 |
| WPP | 15 |
| Capco | 15 |
| Bosch | 10 |
| Nigel Frank | 8 |
| Talan | 8 |
| Devoteam | 8 |
| INSPYR Solutions | 6 |
| Turner & Townsend | 6 |
| Allianz | 5 |
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 DAX
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 19 | 2.8% |
| London | 11 | 1.6% |
| Madrid | 11 | 1.6% |
| Rio de Janeiro | 11 | 1.6% |
| Hyderabad | 10 | 1.5% |
| Chicago | 9 | 1.3% |
| Pune | 9 | 1.3% |
| São Paulo | 9 | 1.3% |
| Toronto | 9 | 1.3% |
Skills commonly paired with DAX
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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 DAX by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s DAX postings by all DAX 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
- 5327a70002617165
- 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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