Exploratory Data Analysis Job Trends in Nottingham

Exploratory Data Analysis (EDA)
Nottinghamshire > Nottingham

The table below provides summary statistics and salary benchmarking for jobs advertised in Nottingham requiring Exploratory Data Analysis skills. It covers vacancies from the 6 months leading up to 30 August 2025, with comparisons to the same periods in the previous two years.

6 months to
30 Aug 2025
Same period 2024 Same period 2023
Rank 51 - -
Rank change year-on-year - - -
Permanent jobs citing Exploratory Data Analysis 1 0 0
As % of all permanent jobs advertised in Nottingham 0.22% - -
As % of the Processes & Methodologies category 0.26% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Nottinghamshire median annual salary - - -

All Process and Methodology Skills
Nottingham

Exploratory Data Analysis 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 Nottingham.

Permanent vacancies with a requirement for process or methodology skills 385 644 358
As % of all permanent jobs advertised in Nottingham 83.88% 77.87% 92.51%
Number of salaries quoted 249 376 259
10th Percentile £27,000 £32,500 £31,250
25th Percentile £28,750 £41,250 £44,375
Median annual salary (50th Percentile) £47,500 £52,500 £57,500
Median % change year-on-year -9.52% -8.70% +9.52%
75th Percentile £61,250 £67,500 £75,000
90th Percentile £80,000 £75,000 £85,000
Nottinghamshire median annual salary £40,000 £50,000 £57,500
% change year-on-year -20.00% -13.04% +9.52%

Exploratory Data Analysis
Job Vacancy Trend in Nottingham

Job postings citing Exploratory Data Analysis as a proportion of all IT jobs advertised in Nottingham.

Job vacancy trend for Exploratory Data Analysis in Nottingham

Exploratory Data Analysis
Co-occurring Skills and Capabilities in Nottingham 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:

Application Platforms
1 1 (100.00%) Apache Spark
Cloud Services
1 1 (100.00%) AWS
1 1 (100.00%) Serverless
Database & Business Intelligence
1 1 (100.00%) DynamoDB
Job Titles
1 1 (100.00%) Architect
1 1 (100.00%) Data Architect
1 1 (100.00%) Enterprise Architect
1 1 (100.00%) Enterprise Data Architect
Processes & Methodologies
1 1 (100.00%) Artificial Intelligence
1 1 (100.00%) Data Analysis
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Management
1 1 (100.00%) Data Strategy
1 1 (100.00%) Event-Driven
1 1 (100.00%) Event-Driven Architecture
1 1 (100.00%) Generative AI
1 1 (100.00%) Machine Learning
1 1 (100.00%) Ontologies
1 1 (100.00%) Software Engineering
Programming Languages
1 1 (100.00%) Java
1 1 (100.00%) Python