As of 22 May 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Analyst salary in Middlesbrough.
6 months to 22 May 2025
Same period 2024
Same period 2023
Rank
17
20
-
Rank change year-on-year
+3
-
-
Permanent jobs requiring a Data Analyst
1
1
0
As % of all permanent jobs advertised in Middlesbrough
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Middlesbrough. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Middlesbrough with a recognized job title
66
102
133
% of permanent jobs with a recognized job title
100.00%
100.00%
79.64%
Number of salaries quoted
17
87
79
10th Percentile
£23,500
£25,250
£31,250
25th Percentile
£23,504
£30,000
£33,750
Median annual salary (50th Percentile)
£30,000
£40,000
£40,000
Median % change year-on-year
-25.00%
-
+6.67%
75th Percentile
£34,375
£45,500
£53,750
90th Percentile
£50,000
£60,000
£58,750
North Yorkshire median annual salary
£47,500
£42,500
£47,500
% change year-on-year
+11.76%
-10.53%
-
Data Analyst Job Vacancy Trend in Middlesbrough
Job postings that featured Data Analyst in the job title as a proportion of all IT jobs advertised in Middlesbrough.
Data Analyst Salary Trend in Middlesbrough
3-month moving average salary quoted in jobs citing Data Analyst in Middlesbrough.
Data Analyst Skill Set Top 11 Co-occurring Skills and Capabilities in Middlesbrough
For the 6 months to 22 May 2025, Data Analyst job roles required 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 Middlesbrough region featuring Data Analyst in the job title.
Data Analyst Skill Set Co-occurring Skills and Capabilities in Middlesbrough 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: