The table below provides summary statistics for permanent job vacancies advertised in Cheltenham requiring Neo4j skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Neo4j over the 6 months leading up to 18 May 2025, comparing them to the same period in the previous two years.
6 months to 18 May 2025
Same period 2024
Same period 2023
Rank
23
64
-
Rank change year-on-year
+41
-
-
Permanent jobs citing Neo4j
1
1
0
As % of all permanent jobs advertised in Cheltenham
Neo4j falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Cheltenham.
Permanent vacancies with a requirement for database or business intelligence skills
7
68
80
As % of all permanent jobs advertised in Cheltenham
7.69%
17.66%
25.08%
Number of salaries quoted
4
47
63
10th Percentile
£48,250
£42,000
£37,500
25th Percentile
£49,375
£43,750
£46,875
Median annual salary (50th Percentile)
£60,000
£57,500
£57,500
Median % change year-on-year
+4.35%
-
+27.78%
75th Percentile
£70,000
£71,875
£73,750
90th Percentile
-
£87,500
£82,500
Gloucestershire median annual salary
£60,000
£55,000
£55,000
% change year-on-year
+9.09%
-
+18.92%
Neo4j Job Vacancy Trend in Cheltenham
Job postings citing Neo4j as a proportion of all IT jobs advertised in Cheltenham.
Neo4j Salary Trend in Cheltenham
3-month moving average salary quoted in jobs citing Neo4j in Cheltenham.
Neo4j Top 20 Co-occurring Skills and Capabilities in Cheltenham
For the 6 months to 18 May 2025, job vacancies citing Neo4j 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 Cheltenham region with a requirement for Neo4j.
Neo4j Co-occurring Skills and Capabilities in Cheltenham 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:
