data profiling jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, data profiling appears in 433 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data profiling, with demand share up 7.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want data profiling?
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Frequently asked questions about data profiling
+Is data profiling in demand in 2026?
Yes. data profiling appears in 433 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Engineer accounts for the most postings mentioning data profiling (18.5% of all postings mentioning data profiling).
+What jobs require data profiling?
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 data profiling are Clinical Data Scientist (26.1% of that role’s postings mention data profiling), Data Modeler (13.3% of that role’s postings mention data profiling), Business Data Analyst (8.5% of that role’s postings mention data profiling).
+What skills are commonly paired with data profiling?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), data profiling most often appears alongside SQL, Python, data governance, data modeling, data quality.
+Where is data profiling most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring data profiling are Hyderabad, Bengaluru, London, Dublin, Pune, according to the Skillenai jobs index.
+How can I keep up with new data profiling content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data profiling alongside the jobs index. You can subscribe to a daily email digest of new data profiling content from your Skillenai account.
+Which skills come before and after data profiling?
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 profiling — last 90 days
Career paths around data profiling
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data profiling
Skills after data profiling
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: Tableau | 17 |
| Before: sql | 16 |
| Before: Power BI | 12 |
| Before: ETL | 10 |
| Before: python | 10 |
| Before: oracle | 9 |
| Before: data modeling | 6 |
| Before: SQL Server | 5 |
| After: Tableau | 14 |
| After: ETL | 13 |
| After: sql | 12 |
| After: data governance | 10 |
| After: python | 10 |
| After: oracle | 7 |
| After: Informatica | 7 |
| After: numpy | 7 |
Roles most likely to require data profiling
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Clinical Data Scientist | 6 | 26.1% |
| Data Modeler | 4 | 13.3% |
| Business Data Analyst | 8 | 8.5% |
| Data Engineer Intern | 2 | 8.0% |
| Forward Deployed AI Engineer | 6 | 6.2% |
| ETL Developer | 3 | 5.0% |
| AI Engineer Intern | 1 | 5.0% |
| SAP Business Analyst | 1 | 4.8% |
| Business Intelligence Developer | 5 | 4.5% |
| Analytics Engineering Director | 1 | 4.5% |
Roles with the most data profiling postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 80 | 18.5% |
| Data Analyst | 74 | 17.1% |
| Business Analyst | 15 | 3.5% |
| Data Architect | 12 | 2.8% |
| Business Intelligence Analyst | 11 | 2.5% |
| Data Scientist | 9 | 2.1% |
| Analytics Engineer | 8 | 1.8% |
| Business Data Analyst | 8 | 1.8% |
| Clinical Data Scientist | 6 | 1.4% |
| Data Quality Analyst | 6 | 1.4% |
Top companies posting jobs requiring data profiling
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Geisinger | 8 |
| Unum | 7 |
| Elsevier | 7 |
| Novartis | 6 |
| PwC | 6 |
| Thehartford | 6 |
| Highmetric | 6 |
| Www.experis.com | 6 |
| Mastercard | 5 |
| NECSWS | 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 data profiling
| Name | Postings | Share |
|---|---|---|
| Hyderabad | 14 | 3.2% |
| Bengaluru | 8 | 1.8% |
| London | 8 | 1.8% |
| Dublin | 6 | 1.4% |
| Pune | 6 | 1.4% |
| Toronto | 6 | 1.4% |
| Warsaw | 6 | 1.4% |
| New York City | 5 | 1.2% |
| Singapore | 5 | 1.2% |
Skills commonly paired with data profiling
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 data profiling by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data profiling postings by all data profiling 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: 0.2% to 0.2%. 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
- 04b1322ab19ffa35
- data_as_of
- 2026-10-30
- window_days
- 90