data reconciliation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-20, data reconciliation appears in 641 job postings indexed by Skillenai over the past 90 days — most often required for Data Analyst roles, with demand up 22% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-20
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Frequently asked questions about data reconciliation
+Is data reconciliation in demand in 2026?
Yes. data reconciliation appears in 641 job postings indexed by Skillenai over the 90 days ending 2026-09-20, with demand up 22% vs the prior 4 weeks. It is most often required for Data Analyst roles (13% of Data Analyst postings list it).
+What jobs require data reconciliation?
According to the Skillenai jobs index over the 90 days ending 2026-09-20, the job titles most likely to require data reconciliation are Data Analyst (13% of postings list data reconciliation), Data Engineer (12% of postings list data reconciliation), Business Analyst (5% of postings list data reconciliation).
+What skills are commonly paired with data reconciliation?
Across job postings indexed by Skillenai (90 days ending 2026-09-20), data reconciliation most often appears alongside SQL, data validation, Python, ETL, Power BI.
+Where is data reconciliation most in demand?
As of 2026-09-20, the metro areas posting the most jobs requiring data reconciliation are New York City, Toronto, Bengaluru, London, Hyderabad, according to the Skillenai jobs index.
+How can I keep up with new data reconciliation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data reconciliation alongside the jobs index. You can subscribe to a daily email digest of new data reconciliation content from your Skillenai account.
Weekly job postings requiring data reconciliation — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require data reconciliation
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Analyst | 84 | 13.1% |
| Data Engineer | 76 | 11.9% |
| Business Analyst | 34 | 5.3% |
| Software Engineer | 24 | 3.7% |
| Analytics Engineer | 19 | 3.0% |
| Data Scientist | 10 | 1.6% |
| Product Manager | 10 | 1.6% |
| Data Architect | 7 | 1.1% |
| Business Systems Analyst | 6 | 0.9% |
| Data Engineering Manager | 6 | 0.9% |
Top metros hiring for data reconciliation
| Name | Postings | Share |
|---|---|---|
| New York City | 27 | 4.2% |
| Toronto | 20 | 3.1% |
| Bengaluru | 18 | 2.8% |
| London | 18 | 2.8% |
| Hyderabad | 13 | 2.0% |
| San Francisco | 9 | 1.4% |
| Boston | 8 | 1.2% |
| Mumbai | 5 | 0.8% |
| Reston | 5 | 0.8% |
Skills commonly paired with data reconciliation
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-20. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- bac92199e45d0fb9
- data_as_of
- 2026-09-20
- 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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