Data accuracy jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, Data accuracy appears in 146 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Data accuracy, with demand share down 10.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want Data accuracy?
Upload your resume and Skillenai will show which roles your Data accuracy experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Data accuracy
+Is Data accuracy in demand in 2026?
Yes. Data accuracy appears in 146 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning Data accuracy (15.1% of all postings mentioning Data accuracy).
+What jobs require Data accuracy?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning Data accuracy are Business Intelligence Director (6.1% of that role’s postings mention Data accuracy), Technology Consultant (5.4% of that role’s postings mention Data accuracy), People Analytics Manager (3.8% of that role’s postings mention Data accuracy).
+What skills are commonly paired with Data accuracy?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), Data accuracy most often appears alongside SQL, data quality, Data integrity, Python, Data analysis.
+Where is Data accuracy most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring Data accuracy are New York City, Austin, London, San Francisco, Boston, according to the Skillenai jobs index.
+How can I keep up with new Data accuracy content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Data accuracy alongside the jobs index. You can subscribe to a daily email digest of new Data accuracy content from your Skillenai account.
+Which skills come before and after Data accuracy?
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 accuracy — last 90 days
Career paths around Data accuracy
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Data accuracy
Skills after Data accuracy
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: python | 12 |
| Before: sql | 12 |
| Before: Power BI | 9 |
| Before: data analysis | 9 |
| Before: Tableau | 9 |
| Before: Excel | 7 |
| Before: Data Visualization | 5 |
| Before: data storage | 4 |
| After: dashboards | 7 |
| After: data integrity | 7 |
| After: python | 7 |
| After: sql | 7 |
| After: Power BI | 5 |
| After: data analysis | 5 |
| After: ETL | 4 |
| After: data pipelines | 4 |
Roles most likely to require Data accuracy
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Business Intelligence Director | 2 | 6.1% |
| Technology Consultant | 2 | 5.4% |
| People Analytics Manager | 1 | 3.8% |
| Data & AI Engineer | 1 | 3.6% |
| AI Intern | 1 | 3.1% |
| Sales Operations Analyst | 2 | 3.1% |
| Marketing Operations Manager | 1 | 2.8% |
| Deployment Engineer | 1 | 2.6% |
| Analytics Director | 2 | 1.8% |
| Data Analyst Intern | 1 | 1.7% |
Roles with the most Data accuracy postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 22 | 15.1% |
| Data Analyst | 14 | 9.6% |
| Business Analyst | 8 | 5.5% |
| Program Manager | 7 | 4.8% |
| Data Engineer | 6 | 4.1% |
| Business Intelligence Analyst | 5 | 3.4% |
| Engineering Manager | 4 | 2.7% |
| Data Architect | 3 | 2.1% |
| Planning Systems Manager | 3 | 2.1% |
| AI Engineer | 2 | 1.4% |
Top companies posting jobs requiring Data accuracy
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Checkr | 4 |
| Celonis | 3 |
| NielsenIQ | 3 |
| YipitData | 3 |
| Industrialelectricmanufacturing | 3 |
| Gusto | 2 |
| Barclays | 2 |
| Telinc | 2 |
| Scaffold | 2 |
| City of New York | 2 |
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 accuracy
| Name | Postings | Share |
|---|---|---|
| New York City | 12 | 8.2% |
| Austin | 6 | 4.1% |
| London | 6 | 4.1% |
| San Francisco | 6 | 4.1% |
| Boston | 3 | 2.1% |
| Amsterdam | 2 | 1.4% |
| Bangkok | 2 | 1.4% |
| Munich | 2 | 1.4% |
| Prague | 2 | 1.4% |
Skills commonly paired with Data accuracy
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 2026-10-29. 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 accuracy by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Data accuracy postings by all Data accuracy 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: 0.1% to 0.1%. 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
- 3cec32df8228d185
- data_as_of
- 2026-10-29
- window_days
- 90