The table below provides summary statistics and salary benchmarking for jobs advertised in Leicester requiring Technology Transformation skills. It covers permanent job vacancies from the 6 months leading up to 4 November 2025, with comparisons to the same periods in the previous two years.
Technology Transformation 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 Leicester.
Permanent vacancies with a requirement for process or methodology skills
199
236
255
As % of all permanent jobs advertised in Leicester
86.90%
80.82%
91.73%
Number of salaries quoted
124
124
205
10th Percentile
£25,750
£31,625
£27,500
25th Percentile
£36,250
£40,000
£38,000
Median annual salary (50th Percentile)
£48,250
£52,250
£52,500
Median % change year-on-year
-7.66%
-0.48%
+10.53%
75th Percentile
£62,500
£65,000
£62,500
90th Percentile
£72,500
£81,375
£67,500
Leicestershire median annual salary
£42,500
£45,000
£52,500
% change year-on-year
-5.56%
-14.29%
+16.67%
Technology Transformation Job Vacancy Trend in Leicester
Historical trend showing the proportion of permanent IT job postings citing Technology Transformation relative to all permanent IT jobs advertised in Leicester.
Technology Transformation Salary Trend in Leicester
Salary distribution trend for jobs in Leicester citing Technology Transformation.
Technology Transformation Top 12 Co-Occurring Skills & Capabilities in Leicester
For the 6 months to 4 November 2025, job vacancies citing Technology Transformation also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Leicester region with a requirement for Technology Transformation.
Technology Transformation Co-Occurring Skills & Capabilities in Leicester by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
