Problem Solving
Moray > Lossiemouth
The table below provides summary statistics for permanent job vacancies advertised in Lossiemouth requiring Problem-Solving skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Problem-Solving over the 6 months leading up to 4 May 2025, comparing them to the same period in the previous two years.
| 6 months to 4 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 17 | - | 3 |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Problem-Solving | 14 | 0 | 3 |
| As % of all permanent jobs advertised in Lossiemouth | 11.38% | - | 42.86% |
| As % of the Processes & Methodologies category | 11.38% | - | 42.86% |
| Number of salaries quoted | 6 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £37,574 | - | - |
| Median annual salary (50th Percentile) | £40,101 | - | - |
| 75th Percentile | £42,627 | - | - |
| 90th Percentile | - | - | - |
| Moray median annual salary | £40,101 | - | - |
All Process and Methodology Skills
Lossiemouth
Problem-Solving 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 Lossiemouth.
| Permanent vacancies with a requirement for process or methodology skills | 123 | 0 | 7 |
| As % of all permanent jobs advertised in Lossiemouth | 100.00% | - | 100.00% |
| Number of salaries quoted | 30 | 0 | 0 |
| 10th Percentile | £37,574 | - | - |
| 25th Percentile | - | - | - |
| Median annual salary (50th Percentile) | £47,683 | - | - |
| 75th Percentile | - | - | - |
| 90th Percentile | £48,715 | - | - |
| Moray median annual salary | £47,683 | - | £50,000 |
Problem-Solving
Job Vacancy Trend in Lossiemouth
Job postings citing Problem-Solving as a proportion of all IT jobs advertised in Lossiemouth.
Problem-Solving
Co-occurring Skills and Capabilities in Lossiemouth 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: