The following table provides summary statistics for permanent job vacancies advertised in Guildford 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 1 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 1 May 2024
Same period 2023
Same period 2022
Rank
43
71
91
Rank change year-on-year
+28
+20
-
Permanent jobs citing MongoDB
5
1
20
As % of all permanent jobs advertised in Guildford
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 Guildford with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
55
59
201
As % of all permanent jobs advertised in Guildford
15.54%
14.94%
21.97%
Number of salaries quoted
55
32
79
10th Percentile
£41,500
£30,125
£42,500
25th Percentile
£45,000
£47,000
£45,000
Median annual salary (50th Percentile)
£50,000
£55,000
£60,000
Median % change year-on-year
-9.09%
-8.33%
+9.09%
75th Percentile
£57,500
£64,063
£73,125
90th Percentile
£73,750
£67,500
£83,750
Surrey median annual salary
£55,000
£55,000
£57,500
% change year-on-year
-
-4.35%
+4.55%
MongoDB Job Vacancy Trend in Guildford
Job postings citing MongoDB as a proportion of all IT jobs advertised in Guildford.
MongoDB Salary Trend in Guildford
3-month moving average salary quoted in jobs citing MongoDB in Guildford.
MongoDB Top 30 Co-occurring Skills and Capabilities in Guildford
For the 6 months to 1 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 Guildford region with a requirement for MongoDB.
MongoDB Co-occurring Skills and Capabilities in Guildford 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:
