The table below provides summary statistics for permanent job vacancies advertised in Sunderland requiring Data Analysis skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Analysis over the 6 months leading up to 27 June 2025, comparing them to the same period in the previous two years.
6 months to 27 Jun 2025
Same period 2024
Same period 2023
Rank
16
-
21
Rank change year-on-year
-
-
-1
Permanent jobs citing Data Analysis
1
0
2
As % of all permanent jobs advertised in Sunderland
Data Analysis falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Sunderland.
Permanent vacancies with a requirement for process or methodology skills
53
154
79
As % of all permanent jobs advertised in Sunderland
91.38%
94.48%
97.53%
Number of salaries quoted
28
135
30
10th Percentile
-
£35,000
£30,500
25th Percentile
£25,087
£40,089
£36,875
Median annual salary (50th Percentile)
£37,500
£55,000
£55,000
Median % change year-on-year
-31.82%
-
+29.41%
75th Percentile
£53,750
£66,000
£65,850
90th Percentile
£65,000
£76,700
£72,050
Tyne and Wear median annual salary
£40,000
£47,500
£52,500
% change year-on-year
-15.79%
-9.52%
+5.00%
Data Analysis Job Vacancy Trend in Sunderland
Job postings citing Data Analysis as a proportion of all IT jobs advertised in Sunderland.
Data Analysis Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing Data Analysis in Sunderland.
Data Analysis Top 11 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 27 June 2025, job vacancies citing Data Analysis 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 Sunderland region with a requirement for Data Analysis.
Data Analysis Co-occurring Skills and Capabilities in Sunderland 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:
