The following table provides summary statistics for permanent job vacancies advertised in Sheffield with a requirement for Demand Forecasting skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Demand Forecasting 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
81
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Demand Forecasting
3
0
0
As % of all permanent jobs advertised in Sheffield
Demand Forecasting is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Sheffield with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
908
904
790
As % of all permanent jobs advertised in Sheffield
83.69%
98.58%
93.27%
Number of salaries quoted
736
404
490
10th Percentile
£27,500
£24,000
£31,588
25th Percentile
£37,500
£33,250
£38,750
Median annual salary (50th Percentile)
£48,750
£47,754
£52,500
Median % change year-on-year
+2.09%
-9.04%
+5.00%
75th Percentile
£65,000
£65,000
£65,000
90th Percentile
£80,000
£71,930
£80,125
South Yorkshire median annual salary
£47,500
£45,000
£50,000
% change year-on-year
+5.56%
-10.00%
+5.26%
Demand Forecasting Job Vacancy Trend in Sheffield
Job postings citing Demand Forecasting as a proportion of all IT jobs advertised in Sheffield.
Demand Forecasting Top 5 Co-occurring Skills and Capabilities in Sheffield
For the 6 months to 10 May 2024, job vacancies citing Demand Forecasting 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 Sheffield region with a requirement for Demand Forecasting.
Demand Forecasting Co-occurring Skills and Capabilities in Sheffield 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:
