The following table provides summary statistics for permanent job vacancies advertised in Peterborough 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 24 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 24 Apr 2024
Same period 2023
Same period 2022
Rank
35
43
-
Rank change year-on-year
+8
-
-
Permanent jobs citing OLAP
2
2
0
As % of all permanent jobs advertised in Peterborough
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 Peterborough with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
39
31
66
As % of all permanent jobs advertised in Peterborough
16.46%
15.50%
23.91%
Number of salaries quoted
34
25
57
10th Percentile
£25,750
£39,000
£31,250
25th Percentile
£29,000
£50,000
£36,250
Median annual salary (50th Percentile)
£48,750
£62,500
£43,500
Median % change year-on-year
-22.00%
+43.68%
-8.42%
75th Percentile
£57,500
£66,250
£53,750
90th Percentile
£63,750
£73,750
£61,000
Cambridgeshire median annual salary
£55,500
£55,000
£50,000
% change year-on-year
+0.91%
+10.00%
-9.09%
OLAP Job Vacancy Trend in Peterborough
Job postings citing OLAP as a proportion of all IT jobs advertised in Peterborough.
OLAP Salary Trend in Peterborough
3-month moving average salary quoted in jobs citing OLAP in Peterborough.
OLAP Top 11 Co-occurring Skills and Capabilities in Peterborough
For the 6 months to 24 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 Peterborough region with a requirement for OLAP.
OLAP Co-occurring Skills and Capabilities in Peterborough 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:
