The following table is for comparison with the above and includes summary statistics for all contract 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 contract jobs in our overall sample.
Contract vacancies in Reading with a recognized job title
1,079
971
1,268
% of contract IT jobs with a recognized job title
92.62%
95.95%
95.48%
Number of daily rates quoted
619
655
857
10th Percentile
£213
£363
£186
25th Percentile
£413
£460
£390
Median daily rate (50th Percentile)
£540
£550
£495
Median % change year-on-year
-1.82%
+11.11%
+4.21%
75th Percentile
£625
£650
£594
90th Percentile
£688
£721
£650
Berkshire median daily rate
£513
£525
£489
% change year-on-year
-2.38%
+7.42%
+8.61%
Number of hourly rates quoted
52
23
7
10th Percentile
£35.70
£45.50
£12.30
25th Percentile
£52.90
£53.00
£17.63
Median hourly rate
£61.60
£65.00
£26.00
Median % change year-on-year
-5.23%
+150.00%
-26.76%
75th Percentile
£73.50
£74.40
£32.50
90th Percentile
£87.46
£79.19
£33.50
Berkshire median hourly rate
£59.15
£56.89
£19.25
% change year-on-year
+3.98%
+195.51%
-8.55%
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 Contractor Daily Rate Trend in Reading
3-month moving average daily rate quoted in jobs citing SAP Solutions Architect in Reading.
SAP Solutions Architect Skill Set Top 9 Co-occurring Skills and Capabilities in Reading
For the 6 months to 9 May 2024, SAP Solutions Architect contract 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 contract 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:
