Geographic Information (Geospatial Data) Berkshire> Reading
The following table provides summary statistics for permanent job vacancies advertised in Reading with a requirement for Geospatial Data skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Geospatial Data over the 6 months to 14 May 2024 with a comparison to the same period in the previous 2 years.
Geospatial 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 Reading with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
271
368
478
As % of all permanent jobs advertised in Reading
15.87%
23.47%
26.64%
Number of salaries quoted
108
222
274
10th Percentile
£42,500
£42,500
£35,400
25th Percentile
£48,750
£53,188
£48,875
Median annual salary (50th Percentile)
£63,000
£70,000
£62,500
Median % change year-on-year
-10.00%
+12.00%
-3.85%
75th Percentile
£76,563
£80,000
£75,000
90th Percentile
£87,375
£110,000
£83,375
Berkshire median annual salary
£65,000
£67,500
£60,000
% change year-on-year
-3.70%
+12.50%
+9.09%
Geospatial Data Job Vacancy Trend in Reading
Job postings citing Geospatial Data as a proportion of all IT jobs advertised in Reading.
Geospatial Data Salary Trend in Reading
3-month moving average salary quoted in jobs citing Geospatial Data in Reading.
Geospatial Data Top 13 Co-occurring Skills and Capabilities in Reading
For the 6 months to 14 May 2024, job vacancies citing Geospatial 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 Reading region with a requirement for Geospatial Data.
Geospatial Data Co-occurring Skills and Capabilities in Reading 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: