NoSQL
Essex > Basildon
The table below provides summary statistics and salary benchmarking for jobs advertised in Basildon requiring NoSQL skills. It covers permanent job vacancies from the 6 months leading up to 27 November 2025, with comparisons to the same periods in the previous two years.
| 6 months to 27 Nov 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 16 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing NoSQL | 1 | 0 | 0 |
| As % of all permanent jobs in Basildon | 0.89% | - | - |
| As % of the Database & Business Intelligence category | 8.33% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Essex median annual salary | - | £70,000 | - |
All Database and Business Intelligence Skills
Basildon
NoSQL falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Basildon.
| Permanent vacancies with a requirement for database or business intelligence skills | 12 | 3 | 13 |
| As % of all permanent jobs advertised in Basildon | 10.71% | 8.82% | 28.26% |
| Number of salaries quoted | 9 | 0 | 12 |
| 10th Percentile | - | - | £31,250 |
| 25th Percentile | £27,500 | - | £34,063 |
| Median annual salary (50th Percentile) | £47,500 | - | £35,000 |
| Median % change year-on-year | - | - | -17.65% |
| 75th Percentile | £50,000 | - | £59,063 |
| 90th Percentile | £56,000 | - | £71,250 |
| Essex median annual salary | £40,000 | £55,000 | £52,000 |
| % change year-on-year | -27.27% | +5.77% | +1.96% |
NoSQL
Job Vacancy Trend in Basildon
Historical trend showing the proportion of permanent IT job postings citing NoSQL relative to all permanent IT jobs advertised in Basildon.
NoSQL
Salary Trend in Basildon
Salary distribution trend for jobs in Basildon citing NoSQL.
NoSQL
Co-Occurring Skills & Capabilities in Basildon 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: