Microsoft Power BI
Central London > City of London
The table below provides summary statistics and contractor rates for jobs advertised in the City of London requiring Power BI skills. It covers contract job vacancies from the 6 months leading up to 13 April 2026, with comparisons to the same periods in the previous two years.
| 6 months to 13 Apr 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 36 | 54 | 49 |
| Rank change year-on-year | +18 | -5 | +19 |
| Contract jobs citing Power BI | 111 | 68 | 90 |
| As % of all contract jobs in the City of London | 5.03% | 3.90% | 4.02% |
| As % of the Database & Business Intelligence category | 28.61% | 17.75% | 18.37% |
| Number of daily rates quoted | 81 | 41 | 61 |
| 10th Percentile | £350 | £400 | £363 |
| 25th Percentile | £425 | £463 | £475 |
| Median daily rate (50th Percentile) | £525 | £525 | £600 |
| Median % change year-on-year | - | -12.50% | +10.85% |
| 75th Percentile | £600 | £625 | £688 |
| 90th Percentile | £749 | £690 | £775 |
| Central London median daily rate | £525 | £545 | £575 |
| % change year-on-year | -3.67% | -5.22% | +8.24% |
| Number of hourly rates quoted | 0 | 1 | 0 |
| Median hourly rate | - | £34.65 | - |
| Central London median hourly rate | - | £31.86 | - |
All Database & BI Skills
City of London
Power BI 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 the City of London.
| Contract vacancies with a requirement for database or business intelligence skills | 388 | 383 | 490 |
| As % of all contract IT jobs advertised in the City of London | 17.58% | 21.95% | 21.89% |
| Number of daily rates quoted | 272 | 243 | 330 |
| 10th Percentile | £343 | £404 | £400 |
| 25th Percentile | £425 | £464 | £475 |
| Median daily rate (50th Percentile) | £525 | £575 | £575 |
| Median % change year-on-year | -8.70% | - | -4.17% |
| 75th Percentile | £638 | £688 | £700 |
| 90th Percentile | £738 | £750 | £789 |
| Central London median daily rate | £525 | £573 | £575 |
| % change year-on-year | -8.30% | -0.43% | -4.17% |
| Number of hourly rates quoted | 2 | 2 | 1 |
| 10th Percentile | £33.51 | £41.16 | - |
| 25th Percentile | £37.23 | £50.97 | £46.75 |
| Median hourly rate | £44.92 | £67.33 | £48.50 |
| Median % change year-on-year | -33.29% | +38.81% | -42.32% |
| 75th Percentile | £53.07 | £83.67 | £50.25 |
| 90th Percentile | £57.06 | £93.47 | - |
| Central London median hourly rate | £44.92 | £34.65 | £48.50 |
| % change year-on-year | +29.62% | -28.56% | -42.32% |
Power BI
Job Vacancy Trend in the City of London
Historical trend showing the proportion of contract IT job postings citing Power BI relative to all contract IT jobs advertised in the City of London.
Power BI
Daily Rate Trend in the City of London
Contractor daily rate distribution trend for jobs in the City of London citing Power BI.
Power BI
Daily Rate Histogram in the City of London
Daily rate distribution for jobs citing Power BI in the City of London over the 6 months to 13 April 2026.
Power BI
Hourly Rate Trend in the City of London
Contractor hourly rate distribution trend for jobs in the City of London citing Power BI.
Power BI
Contract Job Locations in the City of London
The table below looks at the demand and provides a guide to the median contractor rates quoted in IT jobs citing Power BI within the City of London region over the 6 months to 13 April 2026. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
| Location | Rank Change on Same Period Last Year |
Matching Contract IT Job Ads |
Median Daily Rate Past 6 Months |
Median Daily Rate % Change on Same Period Last Year |
Live Jobs |
|---|---|---|---|---|---|
| London Bridge | - | 1 | £650 | - | |
| Power BI Central London |
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Power BI
Co-Occurring Skills & Capabilities in the City of 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:
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