Data Mining Jobs in Slough

Data Mining
Berkshire > Slough

The table below provides summary statistics for permanent job vacancies advertised in Slough requiring Data Mining skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Mining over the 6 months leading up to 13 July 2025, comparing them to the same period in the previous two years.

6 months to
13 Jul 2025
Same period 2024 Same period 2023
Rank 50 - -
Rank change year-on-year - - -
Permanent jobs citing Data Mining 16 0 0
As % of all permanent jobs advertised in Slough 4.56% - -
As % of the Database & Business Intelligence category 14.41% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Berkshire median annual salary - - £65,000
% change year-on-year - - -3.70%

All Database and Business Intelligence Skills
Slough

Data Mining falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Slough.

Permanent vacancies with a requirement for database or business intelligence skills 111 35 43
As % of all permanent jobs advertised in Slough 31.62% 29.41% 24.29%
Number of salaries quoted 36 34 33
10th Percentile - £41,500 -
25th Percentile £41,250 £48,750 £58,750
Median annual salary (50th Percentile) £65,000 £65,000 £67,500
Median % change year-on-year - -3.70% +23.85%
75th Percentile £71,250 £71,250 £71,250
90th Percentile £73,750 - -
Berkshire median annual salary £65,000 £65,000 £67,500
% change year-on-year - -3.70% +12.50%

Data Mining
Job Vacancy Trend in Slough

Job postings citing Data Mining as a proportion of all IT jobs advertised in Slough.

Job vacancy trend for Data Mining in Slough

Data Mining
Salary Trend in Slough

3-month moving average salary quoted in jobs citing Data Mining in Slough.

Salary trend for Data Mining in Slough

Data Mining
Co-occurring Skills and Capabilities in Slough 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:

Cloud Services
1 11 (68.75%) Vertex AI
2 5 (31.25%) Azure
2 5 (31.25%) Azure Data Factory
2 5 (31.25%) Azure Synapse Analytics
2 5 (31.25%) GCP
General
1 16 (100.00%) Analytical Skills
1 16 (100.00%) Law
1 16 (100.00%) Retail
1 16 (100.00%) Social Skills
Job Titles
1 16 (100.00%) Lead
1 16 (100.00%) Senior
Miscellaneous
1 16 (100.00%) Algorithms
Processes & Methodologies
1 16 (100.00%) Agile
1 16 (100.00%) Analytics
1 16 (100.00%) Artificial Intelligence
1 16 (100.00%) Customer-Centricity
1 16 (100.00%) Data Engineering
1 16 (100.00%) Data Science
1 16 (100.00%) DevOps
1 16 (100.00%) Incident Management
1 16 (100.00%) Machine Learning
1 16 (100.00%) Natural Language Processing
1 16 (100.00%) Performance Monitoring
1 16 (100.00%) Problem-Solving
1 16 (100.00%) Product Management
1 16 (100.00%) Statistical Analysis
1 16 (100.00%) Statistical Modelling
1 16 (100.00%) Strategic Thinking
1 16 (100.00%) Technical Architecture
1 16 (100.00%) Time Series Analysis
1 16 (100.00%) Use Case
1 16 (100.00%) Visualisation
Vendors
1 16 (100.00%) Microsoft
2 11 (68.75%) Google
2 11 (68.75%) OpenAI
3 5 (31.25%) Databricks