The table below provides summary statistics for permanent job vacancies advertised in Wakefield requiring Data Interpretation skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Interpretation over the 6 months leading up to 18 May 2025, comparing them to the same period in the previous two years.
6 months to 18 May 2025
Same period 2024
Same period 2023
Rank
10
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Interpretation
1
0
0
As % of all permanent jobs advertised in Wakefield
Data Interpretation 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 Wakefield.
Permanent vacancies with a requirement for process or methodology skills
57
103
256
As % of all permanent jobs advertised in Wakefield
100.00%
91.96%
98.08%
Number of salaries quoted
41
70
74
10th Percentile
-
£25,500
£33,000
25th Percentile
-
£28,625
£38,813
Median annual salary (50th Percentile)
£42,000
£46,250
£44,750
Median % change year-on-year
-9.19%
+3.35%
+19.33%
75th Percentile
-
£63,750
£67,813
90th Percentile
£54,500
£75,000
£74,625
West Yorkshire median annual salary
£52,500
£51,999
£55,000
% change year-on-year
+0.96%
-5.46%
+4.76%
Data Interpretation Job Vacancy Trend in Wakefield
Job postings citing Data Interpretation as a proportion of all IT jobs advertised in Wakefield.
Data Interpretation Top 12 Co-occurring Skills and Capabilities in Wakefield
For the 6 months to 18 May 2025, job vacancies citing Data Interpretation 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 Wakefield region with a requirement for Data Interpretation.
Data Interpretation Co-occurring Skills and Capabilities in Wakefield 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:
