As of 16 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 Warrington.
6 months to 16 May 2025
Same period 2024
Same period 2023
Rank
27
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Analyst
4
0
0
As % of all permanent jobs advertised in Warrington
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Warrington. 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 Warrington with a recognized job title
116
405
139
% of permanent jobs with a recognized job title
75.82%
96.66%
80.81%
Number of salaries quoted
58
275
92
10th Percentile
£23,504
£24,820
£29,250
25th Percentile
£27,438
£30,000
£33,375
Median annual salary (50th Percentile)
£39,000
£43,500
£42,500
Median % change year-on-year
-10.34%
+2.35%
-5.56%
75th Percentile
£60,000
£60,000
£60,247
90th Percentile
£81,000
£76,250
£72,500
Cheshire median annual salary
£37,500
£47,500
£47,500
% change year-on-year
-21.05%
-
-
Data Analyst Job Vacancy Trend in Warrington
Job postings that featured Data Analyst in the job title as a proportion of all IT jobs advertised in Warrington.
Data Analyst Salary Trend in Warrington
3-month moving average salary quoted in jobs citing Data Analyst in Warrington.
Data Analyst Skill Set Top 19 Co-occurring Skills and Capabilities in Warrington
For the 6 months to 16 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 Warrington region featuring Data Analyst in the job title.
Data Analyst Skill Set Co-occurring Skills and Capabilities in Warrington 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:
