Big Data
East Sussex > Brighton
The table below provides summary statistics and contractor rates for jobs advertised in Brighton requiring Big Data skills. It covers contract job vacancies from the 6 months leading up to 4 October 2025, with comparisons to the same periods in the previous two years.
6 months to 4 Oct 2025 |
Same period 2024 | Same period 2023 | |
---|---|---|---|
Rank | 12 | - | - |
Rank change year-on-year | - | - | - |
Contract jobs citing Big Data | 1 | 0 | 0 |
As % of all contract jobs in Brighton | 2.17% | - | - |
As % of the Database & Business Intelligence category | 16.67% | - | - |
Number of daily rates quoted | 1 | 0 | 0 |
Median daily rate (50th Percentile) | £360 | - | - |
East Sussex median daily rate | £360 | - | - |
All Database and Business Intelligence Skills
Brighton
Big Data 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 Brighton.
Contract vacancies with a requirement for database or business intelligence skills | 6 | 22 | 9 |
As % of all contract IT jobs advertised in Brighton | 13.04% | 40.00% | 11.54% |
Number of daily rates quoted | 4 | 10 | 9 |
10th Percentile | £387 | £380 | £450 |
25th Percentile | £428 | £380 | £500 |
Median daily rate (50th Percentile) | £508 | £488 | £525 |
Median % change year-on-year | +4.10% | -7.14% | -18.92% |
75th Percentile | £573 | £575 | £538 |
90th Percentile | - | £638 | £540 |
East Sussex median daily rate | £508 | £460 | £525 |
% change year-on-year | +10.33% | -12.38% | -17.32% |
Big Data
Job Vacancy Trend in Brighton
Historical trend showing the proportion of contract IT job postings citing Big Data relative to all contract IT jobs advertised in Brighton.

Big Data
Daily Rate Trend in Brighton
Contractor daily rate distribution trend for jobs in Brighton citing Big Data.

Big Data
Co-Occurring Skills & Capabilities in Brighton 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: