The following table provides summary statistics for permanent job vacancies advertised in Chippenham 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 26 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 26 Apr 2024
Same period 2023
Same period 2022
Rank
33
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing MongoDB
1
0
0
As % of all permanent jobs advertised in Chippenham
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 Chippenham with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
18
10
34
As % of all permanent jobs advertised in Chippenham
11.32%
9.80%
27.64%
Number of salaries quoted
6
1
25
10th Percentile
£51,875
-
£37,700
25th Percentile
£53,125
£52,500
£43,750
Median annual salary (50th Percentile)
£55,000
£55,000
£52,500
Median % change year-on-year
-
+4.76%
+21.11%
75th Percentile
-
£57,500
£57,500
90th Percentile
£56,250
-
-
Wiltshire median annual salary
£51,000
£55,000
£52,500
% change year-on-year
-7.27%
+4.76%
+5.53%
MongoDB Job Vacancy Trend in Chippenham
Job postings citing MongoDB as a proportion of all IT jobs advertised in Chippenham.
MongoDB Salary Trend in Chippenham
3-month moving average salary quoted in jobs citing MongoDB in Chippenham.
MongoDB Top 16 Co-occurring Skills and Capabilities in Chippenham
For the 6 months to 26 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 Chippenham region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Chippenham 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:
