The following table provides summary statistics for permanent job vacancies advertised in Milton Keynes with a requirement for DB2 skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited DB2 over the 6 months to 23 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 23 Apr 2024
Same period 2023
Same period 2022
Rank
91
-
103
Rank change year-on-year
-
-
-
Permanent jobs citing DB2
1
0
2
As % of all permanent jobs advertised in Milton Keynes
DB2 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
136
283
As % of all permanent jobs advertised in Milton Keynes
26.73%
16.11%
28.59%
Number of salaries quoted
236
101
186
10th Percentile
£38,500
£40,500
£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%
+13.04%
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%
DB2 Job Vacancy Trend in Milton Keynes
Job postings citing DB2 as a proportion of all IT jobs advertised in Milton Keynes.
DB2 Salary Trend in Milton Keynes
3-month moving average salary quoted in jobs citing DB2 in Milton Keynes.
DB2 Top 8 Co-occurring Skills and Capabilities in Milton Keynes
For the 6 months to 23 April 2024, job vacancies citing DB2 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 DB2.
DB2 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: