As of 18 February 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median SAP Business Consultant salary in Reading.
6 months to 18 Feb 2025
Same period 2024
Same period 2023
Rank
70
119
-
Rank change year-on-year
+49
-
-
Permanent jobs requiring an SAP Business Consultant
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies 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
578
1,422
1,337
% of permanent jobs with a recognized job title
88.92%
95.18%
95.23%
Number of salaries quoted
240
865
818
10th Percentile
£36,250
£30,000
£31,250
25th Percentile
£46,250
£37,500
£41,250
Median annual salary (50th Percentile)
£63,000
£54,000
£60,000
Median % change year-on-year
+16.67%
-10.00%
-
75th Percentile
£85,000
£68,750
£75,000
90th Percentile
£112,500
£82,500
£87,500
Berkshire median annual salary
£63,000
£52,550
£57,500
% change year-on-year
+19.89%
-8.61%
-
SAP Business Consultant Job Vacancy Trend in Reading
Job postings that featured SAP Business Consultant in the job title as a proportion of all IT jobs advertised in Reading.
SAP Business Consultant Salary Trend in Reading
3-month moving average salary quoted in jobs citing SAP Business Consultant in Reading.
SAP Business Consultant Skill Set Top 6 Co-occurring Skills and Capabilities in Reading
For the 6 months to 18 February 2025, SAP Business Consultant 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 Business Consultant in the job title.
SAP Business Consultant 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:
