data reporting jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, data reporting appears in 459 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning data reporting, with demand share down 10.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want data reporting?
Upload your resume and Skillenai will show which roles your data reporting experience fits, which skills you already cover, and what is missing.
Frequently asked questions about data reporting
+Is data reporting in demand in 2026?
Yes. data reporting appears in 459 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Data Analyst accounts for the most postings mentioning data reporting (18.5% of all postings mentioning data reporting).
+What jobs require data reporting?
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 reporting are Quality Test Engineer (9.1% of that role’s postings mention data reporting), Analytics Specialist (7.1% of that role’s postings mention data reporting), Data Analytics Specialist (7.1% of that role’s postings mention data reporting).
+What skills are commonly paired with data reporting?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), data reporting most often appears alongside Data analysis, SQL, data visualization, Power BI, Python.
+Where is data reporting most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring data reporting are New York City, Bucharest, Toronto, Cambridge, Long Island City, according to the Skillenai jobs index.
+How can I keep up with new data reporting content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data reporting alongside the jobs index. You can subscribe to a daily email digest of new data reporting content from your Skillenai account.
+Which skills come before and after data reporting?
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 reporting — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around data reporting
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data reporting
Skills after data reporting
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: data analysis | 6 |
| Before: python | 5 |
| Before: Data Visualization | 3 |
| Before: spark | 2 |
| Before: statistical analysis | 2 |
| Before: reporting | 2 |
| Before: Decision Tree | 1 |
| Before: experimental research | 1 |
| After: python | 3 |
| After: data pipelines | 3 |
| After: data validation | 2 |
| After: Power Query | 2 |
| After: DAX | 2 |
| After: Power BI | 2 |
| After: data accuracy | 2 |
| After: ETL | 2 |
Roles most likely to require data reporting
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Quality Test Engineer | 3 | 9.1% |
| Analytics Specialist | 2 | 7.1% |
| Data Analytics Specialist | 2 | 7.1% |
| Data Analyst Intern | 4 | 6.8% |
| Financial Data Analyst | 2 | 6.2% |
| Analytics Associate | 1 | 5.0% |
| Demand Planner | 1 | 5.0% |
| People Analytics Analyst | 1 | 5.0% |
| AI Enablement Manager | 1 | 4.5% |
| Master Data Analyst | 1 | 4.5% |
Roles with the most data reporting postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Analyst | 85 | 18.5% |
| Business Analyst | 36 | 7.8% |
| Program Manager | 29 | 6.3% |
| Data Scientist | 20 | 4.4% |
| Product Manager | 14 | 3.1% |
| Data Engineer | 6 | 1.3% |
| Analytics Manager | 5 | 1.1% |
| Data Analytics Manager | 5 | 1.1% |
| Solution Architect | 5 | 1.1% |
| Business Data Analyst | 4 | 0.9% |
Top companies posting jobs requiring data reporting
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| JJ | 17 |
| City of New York | 13 |
| TikTok | 8 |
| Novartis | 7 |
| MSD | 7 |
| Harvard | 6 |
| Anduril Industries | 6 |
| Capital One | 5 |
| Stripe | 4 |
| Paypal | 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 data reporting
| Name | Postings | Share |
|---|---|---|
| New York City | 16 | 3.5% |
| Bucharest | 9 | 2.0% |
| Toronto | 9 | 2.0% |
| Cambridge | 7 | 1.5% |
| Long Island City | 6 | 1.3% |
| Seoul | 6 | 1.3% |
| Chicago | 5 | 1.1% |
| Horsham | 5 | 1.1% |
| Hyderabad | 5 | 1.1% |
Skills commonly paired with data reporting
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 reporting by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data reporting postings by all data reporting 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
- 9ae76b8451e1f676
- data_as_of
- 2026-10-29
- window_days
- 90