The table below provides summary statistics for permanent job vacancies advertised in Chelmsford requiring Power BI skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Power BI over the 6 months leading up to 15 May 2025, comparing them to the same period in the previous two years.
6 months to 15 May 2025
Same period 2024
Same period 2023
Rank
12
18
23
Rank change year-on-year
+6
+5
+4
Permanent jobs citing Power BI
1
10
5
As % of all permanent jobs advertised in Chelmsford
Power BI 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 Chelmsford.
Permanent vacancies with a requirement for database or business intelligence skills
3
26
16
As % of all permanent jobs advertised in Chelmsford
6.12%
20.31%
11.11%
Number of salaries quoted
3
21
14
10th Percentile
£39,200
-
£36,733
25th Percentile
£39,500
£41,250
£46,250
Median annual salary (50th Percentile)
£40,000
£47,500
£47,500
Median % change year-on-year
-15.79%
-
-9.52%
75th Percentile
£44,875
£65,000
£52,500
90th Percentile
£47,200
-
£55,500
Essex median annual salary
£47,500
£47,500
£47,000
% change year-on-year
-
+1.06%
-6.00%
Power BI Job Vacancy Trend in Chelmsford
Job postings citing Power BI as a proportion of all IT jobs advertised in Chelmsford.
Power BI Salary Trend in Chelmsford
3-month moving average salary quoted in jobs citing Power BI in Chelmsford.
Power BI Top 28 Co-occurring Skills and Capabilities in Chelmsford
For the 6 months to 15 May 2025, 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 Chelmsford region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Chelmsford 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:
