The following table provides summary statistics for permanent job vacancies advertised in Basingstoke with a requirement for NoSQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited NoSQL 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
54
51
72
Rank change year-on-year
-3
+21
-13
Permanent jobs citing NoSQL
3
1
12
As % of all permanent jobs advertised in Basingstoke
NoSQL 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%
-
NoSQL Job Vacancy Trend in Basingstoke
Job postings citing NoSQL as a proportion of all IT jobs advertised in Basingstoke.
NoSQL Salary Trend in Basingstoke
3-month moving average salary quoted in jobs citing NoSQL in Basingstoke.
NoSQL Top 21 Co-occurring Skills and Capabilities in Basingstoke
For the 6 months to 5 May 2024, job vacancies citing NoSQL 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 NoSQL.
NoSQL 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:
