The following table provides summary statistics for permanent job vacancies advertised in Darlington with a requirement for Analytics skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Analytics over the 6 months to 25 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
22
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Analytics
4
0
0
As % of all permanent jobs advertised in Darlington
Analytics is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Darlington with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
94
55
33
As % of all permanent jobs advertised in Darlington
91.26%
93.22%
94.29%
Number of salaries quoted
74
21
19
10th Percentile
£27,873
£31,250
£22,750
25th Percentile
£31,250
£33,788
£36,750
Median annual salary (50th Percentile)
£45,000
£42,500
£40,000
Median % change year-on-year
+5.88%
+6.25%
+37.93%
75th Percentile
£57,188
£48,750
£43,750
90th Percentile
£63,750
£53,750
£47,000
Durham median annual salary
£45,000
£40,000
£37,500
% change year-on-year
+12.50%
+6.67%
-11.09%
Analytics Job Vacancy Trend in Darlington
Job postings citing Analytics as a proportion of all IT jobs advertised in Darlington.
Analytics Salary Trend in Darlington
3-month moving average salary quoted in jobs citing Analytics in Darlington.
Analytics Top 10 Co-occurring Skills and Capabilities in Darlington
For the 6 months to 25 April 2024, job vacancies citing Analytics 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 Darlington region with a requirement for Analytics.
Analytics Co-occurring Skills and Capabilities in Darlington 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:
