Microsoft SQL Server (MS SQL)
Hertfordshire > Waltham Cross
The following table provides summary statistics for permanent job vacancies advertised in Waltham Cross with a requirement for SQL Server skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited SQL Server over the 6 months to 25 April 2024 with a comparison to the same period in the previous 2 years.
| 6 months to 25 Apr 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 8 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing SQL Server | 7 | 0 | 0 |
| As % of all permanent jobs advertised in Waltham Cross | 23.33% | - | - |
| As % of the Database & Business Intelligence category | 100.00% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Hertfordshire median annual salary | £53,000 | £60,000 | £54,000 |
| % change year-on-year | -11.67% | +11.11% | +8.00% |
All Database and Business Intelligence Skills
Waltham Cross
SQL Server 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 Waltham Cross with a requirement for database or business intelligence skills.
| Permanent vacancies with a requirement for database or business intelligence skills | 7 | 0 | 0 |
| As % of all permanent jobs advertised in Waltham Cross | 23.33% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Hertfordshire median annual salary | £50,000 | £61,250 | £60,000 |
| % change year-on-year | -18.37% | +2.08% | +14.29% |
SQL Server
Job Vacancy Trend in Waltham Cross
Job postings citing SQL Server as a proportion of all IT jobs advertised in Waltham Cross.
SQL Server
Salary Trend in Waltham Cross
3-month moving average salary quoted in jobs citing SQL Server in Waltham Cross.
SQL Server
Co-occurring Skills and Capabilities in Waltham Cross 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: