SQL Jobs in South Shields

SQL (Structured Query Language)
Tyne and Wear > South Shields

The table below provides summary statistics for permanent job vacancies advertised in South Shields requiring SQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SQL over the 6 months leading up to 23 June 2024, comparing them to the same period in the previous two years.

6 months to
23 Jun 2024
Same period 2023 Same period 2022
Rank 1 - 4
Rank change year-on-year - - -
Permanent jobs citing SQL 1 0 2
As % of all permanent jobs advertised in South Shields 100.00% - 18.18%
As % of the Programming Languages category 100.00% - 33.33%
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £46,250 - -
Median annual salary (50th Percentile) £47,500 - -
75th Percentile £48,750 - -
90th Percentile - - -
Tyne and Wear median annual salary £55,000 £55,000 £52,000
% change year-on-year - +5.77% +15.56%

All Programming Languages
South Shields

SQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in South Shields.

Permanent vacancies with a requirement for coding skills 1 0 6
As % of all permanent jobs advertised in South Shields 100.00% - 54.55%
Number of salaries quoted 1 0 4
10th Percentile - - -
25th Percentile £46,250 - £32,500
Median annual salary (50th Percentile) £47,500 - £35,000
75th Percentile £48,750 - £37,500
90th Percentile - - -
Tyne and Wear median annual salary £56,000 £56,000 £50,000
% change year-on-year - +12.00% +11.11%

SQL
Job Vacancy Trend in South Shields

Job postings citing SQL as a proportion of all IT jobs advertised in South Shields.

Job vacancy trend for SQL in South Shields

SQL
Salary Trend in South Shields

3-month moving average salary quoted in jobs citing SQL in South Shields.

Salary trend for SQL in South Shields

SQL
Co-occurring Skills and Capabilities in South Shields 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:

General
1 1 (100.00%) Retail
Job Titles
1 1 (100.00%) Analyst
1 1 (100.00%) Systems Analyst
Processes & Methodologies
1 1 (100.00%) B2C
1 1 (100.00%) E-Commerce
1 1 (100.00%) User Stories
Qualifications
1 1 (100.00%) Degree
Vendors
1 1 (100.00%) Salesforce