As of 3 May 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Analytics Engineer salary in Bristol.
6 months to 3 May 2025
Same period 2024
Same period 2023
Rank
96
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Analytics Engineer
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Bristol. 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 Bristol with a recognized job title
1,192
3,009
2,447
% of permanent jobs with a recognized job title
94.90%
97.00%
92.76%
Number of salaries quoted
813
2,251
1,526
10th Percentile
£34,500
£33,500
£31,250
25th Percentile
£47,231
£42,500
£42,500
Median annual salary (50th Percentile)
£57,443
£57,500
£57,810
Median % change year-on-year
-0.10%
-0.54%
+8.85%
75th Percentile
£71,250
£71,250
£73,853
90th Percentile
£87,250
£85,000
£87,500
South West median annual salary
£52,600
£50,000
£52,500
% change year-on-year
+5.20%
-4.76%
+5.00%
Data Analytics Engineer Job Vacancy Trend in Bristol
Job postings that featured Data Analytics Engineer in the job title as a proportion of all IT jobs advertised in Bristol.
Data Analytics Engineer Salary Trend in Bristol
3-month moving average salary quoted in jobs citing Data Analytics Engineer in Bristol.
Data Analytics Engineer Skill Set Top 17 Co-occurring Skills and Capabilities in Bristol
For the 6 months to 3 May 2025, Data Analytics Engineer 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 Bristol region featuring Data Analytics Engineer in the job title.
Data Analytics Engineer Skill Set Co-occurring Skills and Capabilities in Bristol 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:
