The table below provides summary statistics and contractor rates for jobs advertised in Oxford requiring Amazon Athena skills. It covers contract job vacancies from the 6 months leading up to 17 September 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
17 Sep 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
20 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Contract jobs citing Amazon Athena |
1 |
0 |
0 |
| As % of all contract jobs in Oxford |
0.84% |
- |
- |
| As % of the Database & Business Intelligence category |
9.09% |
- |
- |
| Number of daily rates quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£413 |
- |
- |
| Median daily rate (50th Percentile) |
£425 |
- |
- |
| 75th Percentile |
£438 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Oxfordshire median daily rate |
£425 |
- |
- |
Amazon Athena falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Oxford.
| Contract vacancies with a requirement for database or business intelligence skills |
11 |
10 |
16 |
| As % of all contract IT jobs advertised in Oxford |
9.24% |
19.23% |
24.62% |
| Number of daily rates quoted |
10 |
7 |
13 |
| 10th Percentile |
£398 |
- |
£269 |
| 25th Percentile |
£408 |
£222 |
£363 |
| Median daily rate (50th Percentile) |
£530 |
£225 |
£450 |
| Median % change year-on-year |
+135.56% |
-50.00% |
+12.50% |
| 75th Percentile |
- |
£319 |
£550 |
| 90th Percentile |
- |
£370 |
£574 |
| Oxfordshire median daily rate |
£530 |
£350 |
£438 |
| % change year-on-year |
+51.43% |
-20.00% |
-18.22% |
Amazon Athena
Job Vacancy Trend in Oxford
Historical trend showing the proportion of contract IT job postings citing Amazon Athena relative to all contract IT jobs advertised in Oxford.
Amazon Athena
Co-Occurring Skills & Capabilities in Oxford 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:
