The following table provides summary statistics for permanent job vacancies advertised in Wakefield 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 2 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 2 May 2024
Same period 2023
Same period 2022
Rank
21
45
22
Rank change year-on-year
+24
-23
-
Permanent jobs citing MongoDB
5
5
2
As % of all permanent jobs advertised in Wakefield
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 Wakefield with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
14
54
11
As % of all permanent jobs advertised in Wakefield
12.84%
19.78%
9.48%
Number of salaries quoted
13
11
11
10th Percentile
£36,250
£37,500
£36,250
25th Percentile
£37,250
£41,250
£40,955
Median annual salary (50th Percentile)
£45,000
£43,000
£45,000
Median % change year-on-year
+4.65%
-4.44%
+2.27%
75th Percentile
£63,750
£48,500
£52,500
90th Percentile
-
£57,500
£73,250
West Yorkshire median annual salary
£52,500
£54,975
£52,500
% change year-on-year
-4.50%
+4.71%
-
MongoDB Job Vacancy Trend in Wakefield
Job postings citing MongoDB as a proportion of all IT jobs advertised in Wakefield.
MongoDB Salary Trend in Wakefield
3-month moving average salary quoted in jobs citing MongoDB in Wakefield.
MongoDB Top 30 Co-occurring Skills and Capabilities in Wakefield
For the 6 months to 2 May 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 Wakefield region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Wakefield 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:
