The table below provides summary statistics for permanent job vacancies advertised in Sheffield 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 20 May 2025, comparing them to the same period in the previous two years.
6 months to 20 May 2025
Same period 2024
Same period 2023
Rank
36
81
96
Rank change year-on-year
+45
+15
-
Permanent jobs citing SAP HANA
4
3
6
As % of all permanent jobs advertised in Sheffield
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 Sheffield.
Permanent vacancies with a requirement for database or business intelligence skills
63
191
194
As % of all permanent jobs advertised in Sheffield
21.28%
17.30%
21.56%
Number of salaries quoted
51
154
96
10th Percentile
£26,250
£31,163
£27,600
25th Percentile
£35,000
£35,000
£32,200
Median annual salary (50th Percentile)
£60,000
£47,500
£47,754
Median % change year-on-year
+26.32%
-0.53%
+3.25%
75th Percentile
£68,750
£62,188
£70,000
90th Percentile
£75,000
£70,500
-
South Yorkshire median annual salary
£60,000
£47,500
£47,754
% change year-on-year
+26.32%
-0.53%
+6.12%
SAP HANA Job Vacancy Trend in Sheffield
Job postings citing SAP HANA as a proportion of all IT jobs advertised in Sheffield.
SAP HANA Salary Trend in Sheffield
3-month moving average salary quoted in jobs citing SAP HANA in Sheffield.
SAP HANA Top 16 Co-occurring Skills and Capabilities in Sheffield
For the 6 months to 20 May 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 Sheffield region with a requirement for SAP HANA.
SAP HANA Co-occurring Skills and Capabilities in Sheffield 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: