The following table provides summary statistics for permanent job vacancies advertised in Mansfield with a requirement for MongoDB skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited MongoDB over the 6 months to 28 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 28 Apr 2024
Same period 2023
Same period 2022
Rank
11
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing MongoDB
4
0
0
As % of all permanent jobs advertised in Mansfield
MongoDB 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 Mansfield with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
11
2
2
As % of all permanent jobs advertised in Mansfield
20.00%
10.53%
15.38%
Number of salaries quoted
11
2
2
10th Percentile
£36,175
£33,625
£30,900
25th Percentile
£40,588
£35,313
£32,625
Median annual salary (50th Percentile)
£60,000
£41,250
£39,500
Median % change year-on-year
+45.45%
+4.43%
+5.33%
75th Percentile
£65,000
£47,813
£48,625
90th Percentile
£66,250
£49,875
£51,700
Nottinghamshire median annual salary
£50,000
£59,000
£50,000
% change year-on-year
-15.25%
+18.00%
+5.26%
MongoDB Job Vacancy Trend in Mansfield
Job postings citing MongoDB as a proportion of all IT jobs advertised in Mansfield.
MongoDB Salary Trend in Mansfield
3-month moving average salary quoted in jobs citing MongoDB in Mansfield.
MongoDB Top 22 Co-occurring Skills and Capabilities in Mansfield
For the 6 months to 28 April 2024, 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 Mansfield region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Mansfield 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:
