IBM Planning Analytics (formerly Cognos TM1, Applix TM1)
Cheshire > Crewe
The table below provides summary statistics and salary benchmarking for jobs advertised in Crewe requiring IBM Planning Analytics skills. It covers permanent job vacancies from the 6 months leading up to 21 March 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
21 Mar 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
31 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing IBM Planning Analytics |
1 |
0 |
0 |
| As % of all permanent jobs in Crewe |
0.57% |
- |
- |
| As % of the Business Applications category |
3.03% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£50,000 |
- |
- |
| Cheshire median annual salary |
£50,000 |
- |
- |
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 Crewe.
| Permanent vacancies with a requirement for business application skills |
33 |
0 |
11 |
| As % of all permanent jobs advertised in Crewe |
18.86% |
- |
13.41% |
| Number of salaries quoted |
33 |
0 |
2 |
| 10th Percentile |
- |
- |
£29,350 |
| 25th Percentile |
- |
- |
£29,875 |
| Median annual salary (50th Percentile) |
£35,000 |
- |
£32,500 |
| 75th Percentile |
£40,000 |
- |
£35,875 |
| 90th Percentile |
- |
- |
£36,850 |
| Cheshire median annual salary |
£35,000 |
£52,500 |
£55,000 |
| % change year-on-year |
-33.33% |
-4.55% |
-9.69% |
IBM Planning Analytics
Job Vacancy Trend in Crewe
Historical trend showing the proportion of permanent IT job postings citing IBM Planning Analytics relative to all permanent IT jobs advertised in Crewe.
IBM Planning Analytics
Salary Trend in Crewe
Salary distribution trend for jobs in Crewe citing IBM Planning Analytics.
IBM Planning Analytics
Co-Occurring Skills & Capabilities in Crewe 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:
