The table below provides summary statistics and contractor rates for jobs advertised in Reading requiring Slack skills. It covers vacancies from the 6 months leading up to 27 September 2025, with comparisons to the same periods in the previous two years.
Slack falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring cloud computing skills in Reading.
Contract vacancies with a requirement for cloud computing skills
276
374
364
As % of all contract IT jobs advertised in Reading
46.31%
33.91%
32.79%
Number of daily rates quoted
174
252
275
10th Percentile
£324
£385
£400
25th Percentile
£450
£500
£500
Median daily rate (50th Percentile)
£536
£605
£600
Median % change year-on-year
-11.40%
+0.83%
+17.65%
75th Percentile
£600
£650
£663
90th Percentile
£664
£670
£718
Berkshire median daily rate
£500
£575
£575
% change year-on-year
-13.04%
-
+9.52%
Number of hourly rates quoted
9
6
3
10th Percentile
-
£31.63
£24.17
25th Percentile
£14.75
£47.03
£35.17
Median hourly rate
£15.50
£60.83
£55.00
Median % change year-on-year
-74.52%
+10.60%
+3.77%
75th Percentile
£16.25
£63.81
£67.85
90th Percentile
£31.70
£67.21
£74.65
Berkshire median hourly rate
£18.87
£58.17
£45.00
% change year-on-year
-67.56%
+29.27%
+102.25%
Slack Job Vacancy Trend in Reading
Job postings citing Slack as a proportion of all IT jobs advertised in Reading.
Slack Daily Rate Trend in Reading
Contractor daily rate distribution trend for jobs in Reading citing Slack.
Slack Top 13 Co-occurring Skills and Capabilities in Reading
For the 6 months to 27 September 2025, contractor job vacancies citing Slack 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 contract job ads across the Reading region with a requirement for Slack.
Slack Co-occurring Skills and Capabilities in Reading 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:
