As of 27 May 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Extraction Analyst salary in London.
6 months to 27 May 2024
Same period 2023
Same period 2022
Rank
510
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Extraction Analyst
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in London. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in London with a recognized job title
22,451
31,517
69,041
% of permanent jobs with a recognized job title
94.38%
95.13%
96.24%
Number of salaries quoted
16,733
23,286
34,804
10th Percentile
£37,500
£42,000
£41,250
25th Percentile
£51,143
£55,000
£52,500
Median annual salary (50th Percentile)
£70,000
£72,500
£70,000
Median % change year-on-year
-3.45%
+3.57%
-
75th Percentile
£93,750
£95,000
£91,250
90th Percentile
£115,000
£115,000
£110,000
England median annual salary
£52,500
£60,800
£60,000
% change year-on-year
-13.65%
+1.33%
+9.09%
Data Extraction Analyst Job Vacancy Trend in London
Job postings that featured Data Extraction Analyst in the job title as a proportion of all IT jobs advertised in London.
Data Extraction Analyst Salary Trend in London
3-month moving average salary quoted in jobs citing Data Extraction Analyst in London.
Data Extraction Analyst Skill Set Top 13 Co-occurring Skills and Capabilities in London
For the 6 months to 27 May 2024, Data Extraction Analyst job roles required 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 London region featuring Data Extraction Analyst in the job title.
Data Extraction Analyst Skill Set Co-occurring Skills and Capabilities in London 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:
