The following table provides summary statistics for permanent job vacancies advertised in Milton Keynes with a requirement for OLAP skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited OLAP over the 6 months to 29 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 29 Apr 2024
Same period 2023
Same period 2022
Rank
87
85
97
Rank change year-on-year
-2
+12
-
Permanent jobs citing OLAP
3
3
8
As % of all permanent jobs advertised in Milton Keynes
OLAP is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Milton Keynes with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
293
129
284
As % of all permanent jobs advertised in Milton Keynes
26.71%
15.67%
28.43%
Number of salaries quoted
237
97
186
10th Percentile
£38,100
£39,600
£32,500
25th Percentile
£42,532
£46,250
£38,313
Median annual salary (50th Percentile)
£52,500
£57,000
£52,000
Median % change year-on-year
-7.89%
+9.62%
+15.56%
75th Percentile
£60,000
£67,500
£62,500
90th Percentile
£71,250
£77,500
£75,000
Buckinghamshire median annual salary
£52,500
£52,500
£52,500
% change year-on-year
-
-
+10.53%
OLAP Job Vacancy Trend in Milton Keynes
Job postings citing OLAP as a proportion of all IT jobs advertised in Milton Keynes.
OLAP Salary Trend in Milton Keynes
3-month moving average salary quoted in jobs citing OLAP in Milton Keynes.
OLAP Top 22 Co-occurring Skills and Capabilities in Milton Keynes
For the 6 months to 29 April 2024, job vacancies citing OLAP also mentioned 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 Milton Keynes region with a requirement for OLAP.
OLAP Co-occurring Skills and Capabilities in Milton Keynes 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:
