SAP Business Information Warehouse Analyst (SAP BW Analyst) South East> Surrey
The median SAP Business Information Warehouse Analyst (SAP BW Analyst) salary in Surrey is £65,000 per year, according to job vacancies posted during the 6 months leading to 18 November 2025.
The table below compares current salary benchmarking and summary statistics with the previous two years.
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Surrey. 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 Surrey with a recognized job title
1,219
1,412
843
% of permanent jobs with a recognized job title
87.45%
95.60%
94.08%
Number of salaries quoted
823
747
612
10th Percentile
£27,500
£31,250
£30,500
25th Percentile
£34,000
£40,000
£40,500
Median annual salary (50th Percentile)
£48,500
£55,000
£55,000
Median % change year-on-year
-11.82%
-
-
75th Percentile
£65,000
£73,750
£65,000
90th Percentile
£85,000
£85,000
£77,500
South East median annual salary
£47,500
£55,000
£53,500
% change year-on-year
-13.64%
+2.80%
-2.73%
SAP BW Analyst Job Vacancy Trend in Surrey
Historical trend showing the proportion of permanent IT job postings featuring 'SAP BW Analyst' in the job title relative to all permanent IT jobs advertised in Surrey.
SAP BW Analyst Salary Trend in Surrey
Salary distribution trend for SAP BW Analyst job vacancies in Surrey.
SAP BW Analyst Skill Set Top 7 Co-Occurring Skills & Capabilities in Surrey
For the 6 months to 18 November 2025, SAP BW Analyst job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Surrey region featuring SAP BW Analyst in the job title.
SAP BW Analyst Skill Set Co-Occurring Skills & Capabilities in Surrey by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
