The table below provides summary statistics for permanent job vacancies advertised in Bournemouth requiring MongoDB skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited MongoDB over the 6 months leading up to 3 May 2025, comparing them to the same period in the previous two years.
6 months to 3 May 2025
Same period 2024
Same period 2023
Rank
17
71
-
Rank change year-on-year
+54
-
-
Permanent jobs citing MongoDB
1
6
0
As % of all permanent jobs advertised in Bournemouth
MongoDB falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Bournemouth.
Permanent vacancies with a requirement for database or business intelligence skills
20
123
45
As % of all permanent jobs advertised in Bournemouth
32.79%
19.16%
25.57%
Number of salaries quoted
18
69
28
10th Percentile
£39,625
£32,500
£37,500
25th Percentile
£41,875
£42,500
£39,688
Median annual salary (50th Percentile)
£53,750
£53,500
£51,250
Median % change year-on-year
+0.47%
+4.39%
+2.50%
75th Percentile
£58,750
£62,500
£54,688
90th Percentile
£65,250
£71,250
£83,750
Dorset median annual salary
£50,000
£51,250
£50,000
% change year-on-year
-2.44%
+2.50%
-
MongoDB Job Vacancy Trend in Bournemouth
Job postings citing MongoDB as a proportion of all IT jobs advertised in Bournemouth.
MongoDB Salary Trend in Bournemouth
3-month moving average salary quoted in jobs citing MongoDB in Bournemouth.
MongoDB Top 18 Co-occurring Skills and Capabilities in Bournemouth
For the 6 months to 3 May 2025, job vacancies citing MongoDB 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 Bournemouth region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Bournemouth 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:
