SQL Data Analyst
England > London
The median SQL Data Analyst daily rate in London is £300, according to job vacancies posted in the 6 months leading up to 1 June 2026.
The table below compares current contractor rates and summary statistics with the previous two years.
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6 months to 1 Jun 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 396 | 327 | 370 |
| Rank change year-on-year | -69 | +43 | +67 |
| Contract jobs requiring a SQL Data Analyst | 15 | 17 | 20 |
| As % of all contract jobs in London | 0.082% | 0.14% | 0.11% |
| As % of the Job Titles category | 0.088% | 0.15% | 0.12% |
| Number of daily rates quoted | 13 | 12 | 20 |
| 10th Percentile | £263 | £412 | £410 |
| 25th Percentile | £280 | £472 | £450 |
| Median daily rate (50th Percentile) | £300 | £545 | £575 |
| Median % change year-on-year | -44.95% | -5.22% | +9.52% |
| 75th Percentile | £625 | £594 | £600 |
| 90th Percentile | £638 | £665 | £625 |
| England median daily rate | £388 | £525 | £488 |
| % change year-on-year | -26.19% | +7.69% | -2.50% |
| Number of hourly rates quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £26.52 | - | - |
| Median hourly rate | £28.55 | - | - |
| 75th Percentile | £30.59 | - | - |
| 90th Percentile | - | - | - |
| England median hourly rate | £28.55 | £31.64 | - |
| % change year-on-year | -9.77% | - | - |
All Contract IT Job Roles
London
For comparison with the information above, the following table provides summary statistics for all contract IT job vacancies in London. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
| Contract vacancies in London with a recognized job title | 17,071 | 11,462 | 16,365 |
| % of contract IT jobs with a recognized job title | 92.88% | 93.48% | 93.59% |
| Number of daily rates quoted | 11,297 | 7,772 | 11,824 |
| 10th Percentile | £356 | £350 | £325 |
| 25th Percentile | £431 | £425 | £440 |
| Median daily rate (50th Percentile) | £530 | £550 | £550 |
| Median % change year-on-year | -3.64% | - | -4.35% |
| 75th Percentile | £650 | £675 | £680 |
| 90th Percentile | £763 | £800 | £800 |
| England median daily rate | £518 | £518 | £525 |
| % change year-on-year | - | -1.43% | -4.55% |
| Number of hourly rates quoted | 272 | 158 | 326 |
| 10th Percentile | £18.75 | £20.24 | £16.00 |
| 25th Percentile | £25.15 | £24.30 | £20.22 |
| Median hourly rate | £38.25 | £31.67 | £27.81 |
| Median % change year-on-year | +20.77% | +13.89% | -22.75% |
| 75th Percentile | £63.10 | £49.94 | £46.77 |
| 90th Percentile | £76.66 | £63.08 | £66.75 |
| England median hourly rate | £45.00 | £29.80 | £37.63 |
| % change year-on-year | +51.01% | -20.80% | -16.39% |
SQL Data Analyst
Job Vacancy Trend in London
Historical trend showing the proportion of contract IT job postings featuring 'SQL Data Analyst' in the job title relative to all contract IT jobs advertised in London.
SQL Data Analyst
Daily Rate Trend in London
Contractor daily rate distribution trend for SQL Data Analyst job vacancies in London.
SQL Data Analyst
Daily Rate Histogram in London
Daily rate distribution for jobs citing SQL Data Analyst in London over the 6 months to 1 June 2026.
SQL Data Analyst
Hourly Rate Trend in London
Contractor hourly rate distribution trend for SQL Data Analyst job vacancies in London.
SQL Data Analyst Skill Set
Top 30 Co-Occurring Skills & Capabilities in London
For the 6 months to 1 June 2026, SQL Data Analyst contract job roles required the following skills and capabilities in order of popularity. The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the London region featuring SQL Data Analyst in the job title.
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SQL Data Analyst Skill Set
Co-Occurring Skills & Capabilities in London 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: