The following table provides summary statistics for permanent job vacancies advertised in Lincolnshire with a requirement for MATLAB skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited MATLAB over the 6 months to 10 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 10 May 2024
Same period 2023
Same period 2022
Rank
41
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing MATLAB
11
0
0
As % of all permanent jobs advertised in Lincolnshire
MATLAB is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Lincolnshire with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
122
41
87
As % of all permanent jobs advertised in Lincolnshire
21.98%
17.52%
42.44%
Number of salaries quoted
113
24
48
10th Percentile
£28,750
£28,275
£28,200
25th Percentile
£36,750
£34,375
£35,625
Median annual salary (50th Percentile)
£42,500
£48,000
£45,000
Median % change year-on-year
-11.46%
+6.67%
+28.57%
75th Percentile
£55,000
£65,000
£64,063
90th Percentile
£56,250
£70,000
£65,750
East Midlands median annual salary
£50,000
£52,500
£50,000
% change year-on-year
-4.76%
+5.00%
+11.11%
MATLAB Job Vacancy Trend in Lincolnshire
Job postings citing MATLAB as a proportion of all IT jobs advertised in Lincolnshire.
MATLAB Salary Trend in Lincolnshire
3-month moving average salary quoted in jobs citing MATLAB in Lincolnshire.
MATLAB Top 18 Co-occurring Skills and Capabilities in Lincolnshire
For the 6 months to 10 May 2024, job vacancies citing MATLAB 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 Lincolnshire region with a requirement for MATLAB.
MATLAB Co-occurring Skills and Capabilities in Lincolnshire 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:
