The following table provides summary statistics for permanent job vacancies advertised in Dunstable with a requirement for Big Data skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Big Data over the 6 months to 6 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 6 May 2024
Same period 2023
Same period 2022
Rank
1
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Big Data
2
0
0
As % of all permanent jobs advertised in Dunstable
Big Data is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Dunstable with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
2
2
3
As % of all permanent jobs advertised in Dunstable
100.00%
20.00%
8.11%
Number of salaries quoted
2
2
3
10th Percentile
-
£46,375
£32,500
25th Percentile
£76,250
£46,563
£34,375
Median annual salary (50th Percentile)
£77,500
£48,750
£40,000
Median % change year-on-year
+58.97%
+21.88%
-23.81%
75th Percentile
£78,750
£51,563
£50,000
90th Percentile
-
£52,125
£54,500
Bedfordshire median annual salary
£52,500
£55,000
£50,000
% change year-on-year
-4.55%
+10.00%
-4.76%
Big Data Job Vacancy Trend in Dunstable
Job postings citing Big Data as a proportion of all IT jobs advertised in Dunstable.
Big Data Salary Trend in Dunstable
3-month moving average salary quoted in jobs citing Big Data in Dunstable.
Big Data Top 17 Co-occurring Skills and Capabilities in Dunstable
For the 6 months to 6 May 2024, job vacancies citing Big Data also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Dunstable region with a requirement for Big Data.
Big Data Co-occurring Skills and Capabilities in Dunstable by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories: