Microsoft Data Analysis Expressions (DAX)
Bedfordshire > Luton
The table below provides summary statistics and salary benchmarking for jobs advertised in Luton requiring Data Analysis Expressions skills. It covers permanent job vacancies from the 6 months leading up to 26 March 2026, with comparisons to the same periods in the previous two years.
| 6 months to 26 Mar 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 13 | - | 27 |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Data Analysis Expressions | 1 | 0 | 2 |
| As % of all permanent jobs in Luton | 1.10% | - | 1.50% |
| As % of the Programming Languages category | 5.26% | - | 6.45% |
| Number of salaries quoted | 1 | 0 | 2 |
| 10th Percentile | - | - | - |
| 25th Percentile | £56,250 | - | £41,500 |
| Median annual salary (50th Percentile) | £62,500 | - | £43,000 |
| 75th Percentile | £68,750 | - | £44,500 |
| 90th Percentile | - | - | - |
| Bedfordshire median annual salary | £62,500 | - | £43,000 |
All Programming Languages
Luton
Data Analysis Expressions falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Luton.
| Permanent vacancies with a requirement for coding skills | 19 | 38 | 31 |
| As % of all permanent jobs advertised in Luton | 20.88% | 47.50% | 23.31% |
| Number of salaries quoted | 17 | 21 | 27 |
| 10th Percentile | - | £45,000 | £25,600 |
| 25th Percentile | £30,500 | £47,500 | £27,250 |
| Median annual salary (50th Percentile) | £60,000 | £65,000 | £47,500 |
| Median % change year-on-year | -7.69% | +36.84% | -44.12% |
| 75th Percentile | £75,000 | £72,500 | £59,625 |
| 90th Percentile | £77,000 | - | £98,750 |
| Bedfordshire median annual salary | £51,250 | £50,000 | £50,000 |
| % change year-on-year | +2.50% | - | -16.67% |
Data Analysis Expressions
Co-Occurring Skills & Capabilities in Luton 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: