Data-Driven Decision Making Jobs in Crewe

Data-Driven Decision Making
Cheshire > Crewe

The table below provides summary statistics for permanent job vacancies advertised in Crewe requiring Data-Driven Decision Making skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data-Driven Decision Making over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.

6 months to
1 May 2025
Same period 2024 Same period 2023
Rank 10 - -
Rank change year-on-year - - -
Permanent jobs citing Data-Driven Decision Making 6 0 0
As % of all permanent jobs advertised in Crewe 13.33% - -
As % of the Processes & Methodologies category 13.33% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Cheshire median annual salary £34,755 £32,500 -
% change year-on-year +6.94% - -

All Process and Methodology Skills
Crewe

Data-Driven Decision Making falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Crewe.

Permanent vacancies with a requirement for process or methodology skills 45 83 95
As % of all permanent jobs advertised in Crewe 100.00% 95.40% 91.35%
Number of salaries quoted 21 52 68
10th Percentile £39,000 £23,080 £29,000
25th Percentile £42,500 £26,000 £36,250
Median annual salary (50th Percentile) £50,000 £35,750 £52,500
Median % change year-on-year +39.86% -31.90% +10.53%
75th Percentile £57,500 £61,250 £57,500
90th Percentile £60,000 £81,125 £67,875
Cheshire median annual salary £37,500 £47,500 £48,750
% change year-on-year -21.05% -2.56% +2.63%

Data-Driven Decision Making
Job Vacancy Trend in Crewe

Job postings citing Data-Driven Decision Making as a proportion of all IT jobs advertised in Crewe.

Job vacancy trend for Data-Driven Decision Making in Crewe

Data-Driven Decision Making
Co-occurring Skills and Capabilities in Crewe 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:

Applications
1 6 (100.00%) Microsoft Office
General
1 6 (100.00%) Finance
1 6 (100.00%) Legal
1 6 (100.00%) Marketing
1 6 (100.00%) Social Skills
Job Titles
1 6 (100.00%) Customer Executive
Processes & Methodologies
1 6 (100.00%) Business Development
1 6 (100.00%) Contract Negotiation
1 6 (100.00%) Decision-Making
Vendors
1 6 (100.00%) Salesforce