As of 16 April 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median SAP Solution Architect salary in Reading.
6 months to 16 Apr 2024
Same period 2023
Same period 2022
Rank
121
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring an SAP Solutions Architect
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Reading. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Reading with a recognized job title
1,626
1,477
1,705
% of permanent jobs with a recognized job title
94.59%
93.30%
97.37%
Number of salaries quoted
1,047
805
1,039
10th Percentile
£30,000
£31,250
£27,500
25th Percentile
£38,000
£40,500
£41,125
Median annual salary (50th Percentile)
£54,500
£58,500
£60,000
Median % change year-on-year
-6.84%
-2.50%
+4.35%
75th Percentile
£68,750
£75,000
£73,806
90th Percentile
£80,000
£91,250
£82,500
Berkshire median annual salary
£52,500
£55,000
£57,000
% change year-on-year
-4.55%
-3.51%
+3.64%
SAP Solutions Architect Job Vacancy Trend in Reading
Job postings that featured SAP Solutions Architect in the job title as a proportion of all IT jobs advertised in Reading.
SAP Solutions Architect Salary Trend in Reading
3-month moving average salary quoted in jobs citing SAP Solutions Architect in Reading.
SAP Solutions Architect Skill Set Top 15 Co-occurring Skills and Capabilities in Reading
For the 6 months to 16 April 2024, SAP Solutions Architect job roles required 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 Reading region featuring SAP Solutions Architect in the job title.
SAP Solutions Architect Skill Set Co-occurring Skills and Capabilities in Reading 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:
