Data Mining Jobs in the City of Westminster

Data Mining
Central London > City of Westminster

The following table provides summary statistics for permanent job vacancies advertised in the City of Westminster with a requirement for Data Mining skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Mining over the 6 months to 2 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
2 May 2024
Same period 2023 Same period 2022
Rank 30 - -
Rank change year-on-year - - -
Permanent jobs citing Data Mining 5 0 0
As % of all permanent jobs advertised in the City of Westminster 3.03% - -
As % of the Database & Business Intelligence category 10.20% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Central London median annual salary £53,000 £67,500 £70,000
% change year-on-year -21.48% -3.57% +33.33%

All Database and Business Intelligence Skills
City of Westminster

Data Mining is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in the City of Westminster with a requirement for database or business intelligence skills.

Permanent vacancies with a requirement for database or business intelligence skills 49 28 30
As % of all permanent jobs advertised in the City of Westminster 29.70% 25.00% 18.07%
Number of salaries quoted 21 28 14
10th Percentile £46,250 £51,250 £31,975
25th Percentile £52,500 £61,180 £43,125
Median annual salary (50th Percentile) £75,000 £92,500 £57,500
Median % change year-on-year -18.92% +60.87% +8.49%
75th Percentile £87,500 £111,250 £76,563
90th Percentile £97,500 - £84,625
Central London median annual salary £70,000 £75,000 £70,000
% change year-on-year -6.67% +7.14% -

Data Mining
Job Vacancy Trend in the City of Westminster

Job postings citing Data Mining as a proportion of all IT jobs advertised in the City of Westminster.

Job vacancy trend for Data Mining in the City of Westminster

Data Mining
Salary Trend in the City of Westminster

3-month moving average salary quoted in jobs citing Data Mining in the City of Westminster.

Salary trend for Data Mining in the City of Westminster

Data Mining
Co-occurring Skills and Capabilities in the City of Westminster 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 2 (40.00%) SAS
Cloud Services
1 4 (80.00%) AWS
2 2 (40.00%) Amazon EC2
2 2 (40.00%) Amazon S3
Database & Business Intelligence
1 4 (80.00%) Amazon QuickSight
1 4 (80.00%) Data Warehouse
1 4 (80.00%) Tableau
2 2 (40.00%) Amazon Redshift
2 2 (40.00%) DynamoDB
2 2 (40.00%) NoSQL
General
1 4 (80.00%) Analytical Skills
2 2 (40.00%) Social Skills
Job Titles
1 2 (40.00%) Logistics Engineer
1 2 (40.00%) Senior
2 1 (20.00%) Development Engineer
2 1 (20.00%) Software Development Engineer
2 1 (20.00%) Software Engineer
Libraries, Frameworks & Software Standards
1 2 (40.00%) ATL
1 2 (40.00%) Shiny
Miscellaneous
1 5 (100.00%) Onboarding
Processes & Methodologies
1 4 (80.00%) Analytics
1 4 (80.00%) Business Intelligence
1 4 (80.00%) Data Visualisation
1 4 (80.00%) Statistical Analysis
1 4 (80.00%) Visualisation
2 3 (60.00%) Information Retrieval
2 3 (60.00%) Machine Learning
3 2 (40.00%) Actionable Insight
3 2 (40.00%) Data Engineering
3 2 (40.00%) Data Modelling
3 2 (40.00%) Data Science
3 2 (40.00%) Decision-Making
3 2 (40.00%) ETL
3 2 (40.00%) Logistics
3 2 (40.00%) Performance Measurement
3 2 (40.00%) Problem-Solving
3 2 (40.00%) Process Improvement
3 2 (40.00%) Statistical Modelling
3 2 (40.00%) User Acceptance Testing
3 2 (40.00%) Validation
Programming Languages
1 4 (80.00%) Python
1 4 (80.00%) R
1 4 (80.00%) SQL
2 2 (40.00%) MATLAB
3 1 (20.00%) C#
3 1 (20.00%) C++
3 1 (20.00%) Java
Qualifications
1 1 (20.00%) Computer Science Degree
1 1 (20.00%) Degree
Vendors
1 2 (40.00%) Oracle