The following table provides summary statistics for permanent job vacancies advertised in Harrogate with a requirement for Power BI skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Power BI over the 6 months to 1 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 1 May 2024
Same period 2023
Same period 2022
Rank
20
29
27
Rank change year-on-year
+9
-2
-
Permanent jobs citing Power BI
1
17
4
As % of all permanent jobs advertised in Harrogate
Power BI is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Harrogate with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
9
48
32
As % of all permanent jobs advertised in Harrogate
8.82%
20.69%
18.93%
Number of salaries quoted
6
22
32
10th Percentile
-
-
£29,900
25th Percentile
£29,750
£40,000
£38,000
Median annual salary (50th Percentile)
£34,500
£45,000
£42,000
Median % change year-on-year
-23.33%
+7.14%
+10.53%
75th Percentile
£43,438
£68,750
£46,250
90th Percentile
£45,000
£69,875
£48,500
North Yorkshire median annual salary
£47,500
£55,000
£45,000
% change year-on-year
-13.64%
+22.22%
+12.50%
Power BI Job Vacancy Trend in Harrogate
Job postings citing Power BI as a proportion of all IT jobs advertised in Harrogate.
Power BI Salary Trend in Harrogate
3-month moving average salary quoted in jobs citing Power BI in Harrogate.
Power BI Top 6 Co-occurring Skills and Capabilities in Harrogate
For the 6 months to 1 May 2024, job vacancies citing Power BI 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 Power BI.
Power BI 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:
