IBM Planning Analytics (formerly Cognos TM1, Applix TM1) Wiltshire> Swindon
The table below provides summary statistics and salary benchmarking for jobs advertised in Swindon requiring IBM Planning Analytics skills. It covers permanent job vacancies from the 6 months leading up to 15 November 2025, with comparisons to the same periods in the previous two years.
IBM Planning Analytics falls under the Business Applications category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring business application skills in Swindon.
Permanent vacancies with a requirement for business application skills
2
7
10
As % of all permanent jobs advertised in Swindon
1.19%
2.67%
5.52%
Number of salaries quoted
2
5
6
10th Percentile
£42,300
£48,250
£45,000
25th Percentile
£42,750
£51,250
£48,750
Median annual salary (50th Percentile)
£44,500
£57,500
£60,000
Median % change year-on-year
-22.61%
-4.17%
-4.00%
75th Percentile
£45,750
£61,000
-
90th Percentile
£45,900
£62,650
-
Wiltshire median annual salary
£44,500
£57,500
£54,000
% change year-on-year
-22.61%
+6.48%
-10.00%
IBM Planning Analytics Job Vacancy Trend in Swindon
Historical trend showing the proportion of permanent IT job postings citing IBM Planning Analytics relative to all permanent IT jobs advertised in Swindon.
IBM Planning Analytics Salary Trend in Swindon
Salary distribution trend for jobs in Swindon citing IBM Planning Analytics.
IBM Planning Analytics Top 14 Co-Occurring Skills & Capabilities in Swindon
For the 6 months to 15 November 2025, job vacancies citing IBM Planning Analytics 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 Swindon region with a requirement for IBM Planning Analytics.
IBM Planning Analytics Co-Occurring Skills & Capabilities in Swindon 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:
