Microsoft Azure SQL Database (formerly SQL Azure) Oxfordshire> Oxford
The following table provides summary statistics for permanent job vacancies advertised in Oxford with a requirement for Azure SQL Database skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Azure SQL Database over the 6 months to 23 April 2024 with a comparison to the same period in the previous 2 years.
Azure SQL Database 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 Oxford with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
113
72
126
As % of all permanent jobs advertised in Oxford
17.17%
14.94%
24.95%
Number of salaries quoted
87
53
85
10th Percentile
£30,700
£36,250
£35,500
25th Percentile
£41,250
£41,250
£56,250
Median annual salary (50th Percentile)
£54,500
£50,000
£62,500
Median % change year-on-year
+9.00%
-20.00%
+21.95%
75th Percentile
£62,500
£66,250
£66,875
90th Percentile
£78,500
£75,500
£68,750
Oxfordshire median annual salary
£51,000
£46,000
£62,500
% change year-on-year
+10.87%
-26.40%
+25.00%
Azure SQL Database Job Vacancy Trend in Oxford
Job postings citing Azure SQL Database as a proportion of all IT jobs advertised in Oxford.
Azure SQL Database Salary Trend in Oxford
3-month moving average salary quoted in jobs citing Azure SQL Database in Oxford.
Azure SQL Database Top 17 Co-occurring Skills and Capabilities in Oxford
For the 6 months to 23 April 2024, job vacancies citing Azure SQL Database 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 Oxford region with a requirement for Azure SQL Database.
Azure SQL Database Co-occurring Skills and Capabilities in Oxford 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:
