BI Analyst
South East > Buckinghamshire
The median BI Analyst salary in Buckinghamshire is £40,000 per year according to job vacancies posted during the 6 months to 29 April 2024.
The first table below provides salary benchmarking and summary statistics including a comparison to same period in the previous 2 years.
| 6 months to 29 Apr 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 123 | 109 | 149 |
| Rank change year-on-year | -14 | +40 | -60 |
| Permanent jobs requiring a Business Intelligence Analyst | 4 | 1 | 6 |
| As % of all permanent jobs advertised in Buckinghamshire | 0.20% | 0.073% | 0.30% |
| As % of the Job Titles category | 0.22% | 0.081% | 0.31% |
| Number of salaries quoted | 4 | 1 | 5 |
| 10th Percentile | - | - | £41,750 |
| 25th Percentile | £31,250 | £38,250 | £42,500 |
| Median annual salary (50th Percentile) | £40,000 | £39,500 | £45,000 |
| Median % change year-on-year | +1.27% | -12.22% | +44.00% |
| 75th Percentile | £53,438 | £40,750 | £57,500 |
| 90th Percentile | £57,375 | - | £59,000 |
| South East median annual salary | £50,000 | £46,350 | £45,250 |
| % change year-on-year | +7.87% | +2.43% | +0.56% |
All Permanent IT Job Vacancies
Buckinghamshire
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Buckinghamshire. 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 Buckinghamshire with a recognized job title | 1,819 | 1,229 | 1,940 |
| % of permanent jobs with a recognized job title | 92.52% | 89.77% | 95.99% |
| Number of salaries quoted | 1,121 | 728 | 1,087 |
| 10th Percentile | £27,000 | £28,500 | £27,750 |
| 25th Percentile | £37,500 | £35,000 | £37,500 |
| Median annual salary (50th Percentile) | £47,500 | £50,000 | £50,000 |
| Median % change year-on-year | -5.00% | - | - |
| 75th Percentile | £60,000 | £67,500 | £63,750 |
| 90th Percentile | £75,000 | £80,000 | £77,500 |
| South East median annual salary | £50,000 | £55,000 | £55,000 |
| % change year-on-year | -9.09% | - | +10.00% |
Business Intelligence Analyst
Job Vacancy Trend in Buckinghamshire
Job postings that featured Business Intelligence Analyst in the job title as a proportion of all IT jobs advertised in Buckinghamshire.
Business Intelligence Analyst
Salary Trend in Buckinghamshire
3-month moving average salary quoted in jobs citing Business Intelligence Analyst in Buckinghamshire.
Business Intelligence Analyst
Salary Histogram in Buckinghamshire
Salary distribution for jobs citing Business Intelligence Analyst in Buckinghamshire over the 6 months to 29 April 2024.
Business Intelligence Analyst
Job Locations in Buckinghamshire
The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing Business Intelligence Analyst within the Buckinghamshire region over the 6 months to 29 April 2024. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
| Location | Rank Change on Same Period Last Year |
Matching Permanent IT Job Ads |
Median Salary Past 6 Months |
Median Salary % Change on Same Period Last Year |
Live Jobs |
|---|---|---|---|---|---|
| Milton Keynes | -1 | 2 | £40,000 | +1.27% | |
| High Wycombe | - | 1 | £60,000 | - | |
| Business Intelligence Analyst South East |
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Business Intelligence Analyst Skill Set
Top 30 Co-occurring Skills and Capabilities in Buckinghamshire
For the 6 months to 29 April 2024, Business Intelligence Analyst 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 Buckinghamshire region featuring Business Intelligence Analyst in the job title.
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Business Intelligence Analyst Skill Set
Co-occurring Skills and Capabilities in Buckinghamshire 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: