As of 28 August 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median BI Leader salary in Reading.
6 months to 28 Aug 2025
Same period 2024
Same period 2023
Rank
65
-
-
Rank change year-on-year
-
-
-
DemandTrendPermanent jobs requiring a Business Intelligence Lead
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.
DemandTrendPermanent vacancies in Reading with a recognized job title
479
1,500
1,414
% of permanent jobs with a recognized job title
87.73%
94.22%
93.58%
Number of salaries quoted
290
838
714
10th Percentile
£28,000
£30,000
£31,250
25th Percentile
£39,000
£40,000
£40,500
Median annual salary (50th Percentile)
£55,000
£55,000
£56,525
Median % change year-on-year
-
-2.70%
-5.79%
75th Percentile
£70,000
£70,000
£74,250
90th Percentile
£87,625
£81,250
£87,500
Berkshire median annual salary
£50,000
£55,000
£55,000
% change year-on-year
-9.09%
-
-4.35%
Business Intelligence Lead Job Vacancy Trend in Reading
Job postings that featured Business Intelligence Lead in the job title as a proportion of all IT jobs advertised in Reading.
Business Intelligence Lead Salary Trend in Reading
Salary distribution trend for Business Intelligence Lead job vacancies in Reading.
Business Intelligence Lead Skill Set Top 22 Co-occurring Skills and Capabilities in Reading
For the 6 months to 28 August 2025, Business Intelligence Lead 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 Business Intelligence Lead in the job title.
Business Intelligence Lead 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:
