The table below provides summary statistics and salary benchmarking for jobs advertised in Liverpool requiring SAP HANA skills. It covers permanent job vacancies from the 6 months leading up to 13 April 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
13 Apr 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
60 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing SAP HANA |
2 |
0 |
0 |
| As % of all permanent jobs in Liverpool |
0.28% |
- |
- |
| As % of the Database & Business Intelligence category |
2.38% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| Merseyside median annual salary |
- |
- |
- |
SAP HANA falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Liverpool.
| Permanent vacancies with a requirement for database or business intelligence skills |
84 |
54 |
159 |
| As % of all permanent jobs advertised in Liverpool |
11.93% |
21.69% |
18.05% |
| Number of salaries quoted |
57 |
51 |
146 |
| 10th Percentile |
- |
- |
£31,250 |
| 25th Percentile |
£35,000 |
£31,250 |
£36,250 |
| Median annual salary (50th Percentile) |
£45,000 |
£32,500 |
£51,250 |
| Median % change year-on-year |
+38.46% |
-36.59% |
+11.41% |
| 75th Percentile |
£50,000 |
£57,500 |
£77,500 |
| 90th Percentile |
£81,250 |
£63,749 |
£90,000 |
| Merseyside median annual salary |
£44,493 |
£38,000 |
£48,000 |
| % change year-on-year |
+17.09% |
-20.83% |
+9.71% |
SAP HANA
Job Vacancy Trend in Liverpool
Historical trend showing the proportion of permanent IT job postings citing SAP HANA relative to all permanent IT jobs advertised in Liverpool.
SAP HANA
Salary Trend in Liverpool
Salary distribution trend for jobs in Liverpool citing SAP HANA.
SAP HANA
Co-Occurring Skills & Capabilities in Liverpool by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
