Microsoft SQL Server (MS SQL) Oxfordshire> Banbury
The table below provides summary statistics and salary benchmarking for jobs advertised in Banbury requiring SQL Server skills. It covers permanent job vacancies from the 6 months leading up to 17 November 2025, with comparisons to the same periods in the previous two years.
SQL Server 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 Banbury.
Permanent vacancies with a requirement for database or business intelligence skills
3
2
21
As % of all permanent jobs advertised in Banbury
6.12%
1.96%
35.00%
Number of salaries quoted
2
2
14
10th Percentile
£45,125
-
-
25th Percentile
£47,188
£72,500
£36,500
Median annual salary (50th Percentile)
£53,750
£75,000
£41,000
Median % change year-on-year
-28.33%
+82.93%
-15.46%
75th Percentile
£59,688
£77,500
£45,500
90th Percentile
£61,375
-
£62,000
Oxfordshire median annual salary
£60,000
£47,500
£55,000
% change year-on-year
+26.32%
-13.64%
+5.26%
SQL Server Job Vacancy Trend in Banbury
Historical trend showing the proportion of permanent IT job postings citing SQL Server relative to all permanent IT jobs advertised in Banbury.
SQL Server Salary Trend in Banbury
Salary distribution trend for jobs in Banbury citing SQL Server.
SQL Server Top 16 Co-Occurring Skills & Capabilities in Banbury
For the 6 months to 17 November 2025, job vacancies citing SQL Server also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Banbury region with a requirement for SQL Server.
SQL Server Co-Occurring Skills & Capabilities in Banbury by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
