The table below provides summary statistics for permanent job vacancies advertised in Berkshire 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 11 June 2024, comparing them to the same period in the previous two years.
6 months to 11 Jun 2024
Same period 2023
Same period 2022
Rank
172
179
193
Rank change year-on-year
+7
+14
-22
Permanent jobs citing SAP HANA
1
2
2
As % of all permanent jobs advertised in Berkshire
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 Berkshire.
Permanent vacancies with a requirement for database or business intelligence skills
516
718
878
As % of all permanent jobs advertised in Berkshire
15.44%
24.49%
23.59%
Number of salaries quoted
297
429
496
10th Percentile
£38,750
£38,626
£35,625
25th Percentile
£45,000
£52,500
£47,500
Median annual salary (50th Percentile)
£65,000
£67,925
£60,000
Median % change year-on-year
-4.31%
+13.21%
+9.09%
75th Percentile
£83,750
£87,500
£72,500
90th Percentile
£95,000
£112,500
£77,500
South East median annual salary
£55,000
£57,500
£55,000
% change year-on-year
-4.35%
+4.55%
+6.80%
SAP HANA Job Vacancy Trend in Berkshire
Job postings citing SAP HANA as a proportion of all IT jobs advertised in Berkshire.
SAP HANA Salary Trend in Berkshire
3-month moving average salary quoted in jobs citing SAP HANA in Berkshire.
SAP HANA Top 12 Co-occurring Skills and Capabilities in Berkshire
For the 6 months to 11 June 2024, 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 Berkshire region with a requirement for SAP HANA.
SAP HANA Co-occurring Skills and Capabilities in Berkshire 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:
