Google Analytics (GA)
North Wales > Wrexham
The table below provides summary statistics and salary benchmarking for jobs advertised in Wrexham requiring Google Analytics skills. It covers permanent job vacancies from the 6 months leading up to 22 March 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
22 Mar 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
11 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Google Analytics |
1 |
0 |
0 |
| As % of all permanent jobs in Wrexham |
1.56% |
- |
- |
| As % of the Cloud Services category |
100.00% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£31,500 |
- |
- |
| Median annual salary (50th Percentile) |
£33,000 |
- |
- |
| 75th Percentile |
£34,500 |
- |
- |
| 90th Percentile |
- |
- |
- |
| North Wales median annual salary |
£33,000 |
- |
- |
Google Analytics falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Wrexham.
| Permanent vacancies with a requirement for cloud computing skills |
1 |
2 |
6 |
| As % of all permanent jobs advertised in Wrexham |
1.56% |
10.00% |
31.58% |
| Number of salaries quoted |
1 |
0 |
6 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£31,500 |
- |
£26,250 |
| Median annual salary (50th Percentile) |
£33,000 |
- |
£33,750 |
| Median % change year-on-year |
- |
- |
-28.95% |
| 75th Percentile |
£34,500 |
- |
£40,000 |
| 90th Percentile |
- |
- |
£57,500 |
| North Wales median annual salary |
£47,500 |
- |
£34,000 |
| % change year-on-year |
- |
- |
-24.44% |
Google Analytics
Job Vacancy Trend in Wrexham
Historical trend showing the proportion of permanent IT job postings citing Google Analytics relative to all permanent IT jobs advertised in Wrexham.
Google Analytics
Co-Occurring Skills & Capabilities in Wrexham 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:
