SSRS jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, SSRS appears in 222 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning SSRS.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about SSRS
+Is SSRS in demand in 2026?
Yes. SSRS appears in 222 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning SSRS (12.2% of all postings mentioning SSRS).
+What jobs require SSRS?
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 SSRS are Database Developer (13.0% of that role’s postings mention SSRS), Business Intelligence Lead (8.3% of that role’s postings mention SSRS), Business Intelligence Developer (7.2% of that role’s postings mention SSRS).
+What skills are commonly paired with SSRS?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), SSRS most often appears alongside SQL, Power BI, SSIS, SQL Server, ETL.
+Where is SSRS most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring SSRS are Chicago, Bengaluru, Pune, Atlanta, San Diego, according to the Skillenai jobs index.
+How can I keep up with new SSRS content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning SSRS alongside the jobs index. You can subscribe to a daily email digest of new SSRS content from your Skillenai account.
+Which skills come before and after SSRS?
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 SSRS — last 90 days
Career paths around SSRS
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before SSRS
Skills after SSRS
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 | 62 |
| Before: SQL Server | 47 |
| Before: C# | 35 |
| Before: python | 30 |
| Before: Tableau | 30 |
| Before: Power BI | 27 |
| Before: SSIS | 26 |
| Before: oracle | 24 |
| After: SQL Server | 42 |
| After: python | 39 |
| After: Tableau | 35 |
| After: Power BI | 34 |
| After: sql | 30 |
| After: ETL | 25 |
| After: snowflake | 24 |
| After: SSIS | 23 |
Roles most likely to require SSRS
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Database Developer | 3 | 13.0% |
| Business Intelligence Lead | 3 | 8.3% |
| Business Intelligence Developer | 8 | 7.2% |
| Data Analytics Engineer | 6 | 6.1% |
| .NET Developer | 2 | 5.0% |
| Analytics Developer | 1 | 4.8% |
| Power BI Developer | 4 | 4.7% |
| QA Analyst | 2 | 4.5% |
| Test Lead | 1 | 4.5% |
| Business Systems Analyst | 3 | 4.4% |
Roles with the most SSRS postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 27 | 12.2% |
| Data Engineer | 22 | 9.9% |
| Data Analyst | 17 | 7.7% |
| Database Administrator | 9 | 4.1% |
| Business Intelligence Developer | 8 | 3.6% |
| Data Analytics Engineer | 6 | 2.7% |
| Data Architect | 6 | 2.7% |
| Software Developer | 5 | 2.3% |
| Power BI Developer | 4 | 1.8% |
| Business Analyst | 3 | 1.4% |
Top companies posting jobs requiring SSRS
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| 360 IT Professionals | 7 |
| 9th Way Insignia | 7 |
| Integrated Resources | 6 |
| Axon | 5 |
| Barclays | 4 |
| Arch Global Services (Philippines) Inc. | 4 |
| Zinnia | 3 |
| Elevance Health | 2 |
| Northwestern Memorial Hospital | 2 |
| Blue Water Thinking | 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 SSRS
| Name | Postings | Share |
|---|---|---|
| Chicago | 6 | 2.7% |
| Bengaluru | 5 | 2.3% |
| Pune | 5 | 2.3% |
| Atlanta | 4 | 1.8% |
| San Diego | 4 | 1.8% |
| Boston | 3 | 1.4% |
| Charlotte | 3 | 1.4% |
| Long Beach | 3 | 1.4% |
| Alpharetta | 2 | 0.9% |
Skills commonly paired with SSRS
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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 SSRS by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s SSRS postings by all SSRS 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
- c9d6fa5ad8037e8e
- 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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