The following table provides summary statistics for permanent job vacancies advertised in Basingstoke 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 5 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 5 May 2024
Same period 2023
Same period 2022
Rank
55
50
74
Rank change year-on-year
-5
+24
-14
Permanent jobs citing MongoDB
2
2
10
As % of all permanent jobs advertised in Basingstoke
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 Basingstoke with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
35
23
144
As % of all permanent jobs advertised in Basingstoke
6.26%
6.53%
20.96%
Number of salaries quoted
35
19
111
10th Percentile
£44,942
£47,000
£36,250
25th Percentile
£45,596
£48,750
£42,500
Median annual salary (50th Percentile)
£60,000
£65,500
£55,000
Median % change year-on-year
-8.40%
+19.09%
-
75th Percentile
£75,000
£75,000
£73,688
90th Percentile
£91,500
£83,750
£81,250
Hampshire median annual salary
£55,000
£55,000
£50,000
% change year-on-year
-
+10.00%
-
MongoDB Job Vacancy Trend in Basingstoke
Job postings citing MongoDB as a proportion of all IT jobs advertised in Basingstoke.
MongoDB Salary Trend in Basingstoke
3-month moving average salary quoted in jobs citing MongoDB in Basingstoke.
MongoDB Top 22 Co-occurring Skills and Capabilities in Basingstoke
For the 6 months to 5 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 Basingstoke region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Basingstoke 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:
