The table below provides summary statistics for permanent job vacancies advertised in Harrogate requiring Tableau skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Tableau over the 6 months leading up to 28 May 2025, comparing them to the same period in the previous two years.
6 months to 28 May 2025
Same period 2024
Same period 2023
Rank
16
-
25
Rank change year-on-year
-
-
-
Permanent jobs citing Tableau
5
0
16
As % of all permanent jobs advertised in Harrogate
Tableau falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Harrogate.
Permanent vacancies with a requirement for database or business intelligence skills
16
8
48
As % of all permanent jobs advertised in Harrogate
19.28%
7.55%
22.22%
Number of salaries quoted
6
5
21
10th Percentile
£38,125
-
-
25th Percentile
-
£29,750
£40,000
Median annual salary (50th Percentile)
£40,000
£31,500
£45,000
Median % change year-on-year
+26.98%
-30.00%
+7.14%
75th Percentile
£43,750
£45,000
£68,750
90th Percentile
£51,250
-
-
North Yorkshire median annual salary
£60,000
£47,500
£50,000
% change year-on-year
+26.32%
-5.00%
+11.11%
Tableau Job Vacancy Trend in Harrogate
Job postings citing Tableau as a proportion of all IT jobs advertised in Harrogate.
Tableau Salary Trend in Harrogate
3-month moving average salary quoted in jobs citing Tableau in Harrogate.
Tableau Top 15 Co-occurring Skills and Capabilities in Harrogate
For the 6 months to 28 May 2025, job vacancies citing Tableau 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 Harrogate region with a requirement for Tableau.
Tableau Co-occurring Skills and Capabilities in Harrogate 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:
