The table below provides summary statistics for permanent job vacancies advertised in Birmingham requiring SAP HANA skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SAP HANA over the 6 months leading up to 5 August 2025, comparing them to the same period in the previous two years.
6 months to 5 Aug 2025
Same period 2024
Same period 2023
Rank
97
124
-
Rank change year-on-year
+27
-
-
Permanent jobs citing SAP HANA
4
1
0
As % of all permanent jobs advertised in Birmingham
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 Birmingham.
Permanent vacancies with a requirement for database or business intelligence skills
235
314
311
As % of all permanent jobs advertised in Birmingham
17.38%
13.03%
18.91%
Number of salaries quoted
196
238
257
10th Percentile
£37,750
£32,500
£36,250
25th Percentile
£47,500
£45,188
£45,000
Median annual salary (50th Percentile)
£60,000
£60,000
£55,000
Median % change year-on-year
-
+9.09%
-4.35%
75th Percentile
£72,813
£73,750
£68,750
90th Percentile
£76,250
£86,790
£80,000
West Midlands median annual salary
£57,500
£53,500
£52,500
% change year-on-year
+7.48%
+1.90%
-
SAP HANA Job Vacancy Trend in Birmingham
Job postings citing SAP HANA as a proportion of all IT jobs advertised in Birmingham.
SAP HANA Salary Trend in Birmingham
3-month moving average salary quoted in jobs citing SAP HANA in Birmingham.
SAP HANA Top 23 Co-occurring Skills and Capabilities in Birmingham
For the 6 months to 5 August 2025, job vacancies citing SAP HANA also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Birmingham region with a requirement for SAP HANA.
SAP HANA Co-occurring Skills and Capabilities in Birmingham by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
