Looker Jobs in Milton Keynes

Looker
Buckinghamshire > Milton Keynes

The table below provides summary statistics for permanent job vacancies advertised in Milton Keynes requiring Looker skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Looker over the 6 months leading up to 15 November 2024, comparing them to the same period in the previous two years.

6 months to
15 Nov 2024
Same period 2023 Same period 2022
Rank 49 - 91
Rank change year-on-year - - -
Permanent jobs citing Looker 2 0 1
As % of all permanent jobs advertised in Milton Keynes 0.48% - 0.10%
As % of the Database & Business Intelligence category 2.06% - 0.49%
Number of salaries quoted 0 0 1
10th Percentile - - -
25th Percentile - - £62,500
Median annual salary (50th Percentile) - - £65,000
75th Percentile - - £67,500
90th Percentile - - -
Buckinghamshire median annual salary - - £65,000

All Database and Business Intelligence Skills
Milton Keynes

Looker 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 Milton Keynes.

Permanent vacancies with a requirement for database or business intelligence skills 97 137 206
As % of all permanent jobs advertised in Milton Keynes 23.43% 23.83% 20.98%
Number of salaries quoted 77 109 165
10th Percentile £34,400 £42,738 £38,302
25th Percentile £37,500 £47,500 £45,000
Median annual salary (50th Percentile) £51,500 £60,000 £55,000
Median % change year-on-year -14.17% +9.09% +4.76%
75th Percentile £60,000 £75,000 £68,750
90th Percentile £66,300 £82,600 £80,000
Buckinghamshire median annual salary £51,500 £57,500 £55,000
% change year-on-year -10.43% +4.55% +5.77%

Looker
Job Vacancy Trend in Milton Keynes

Job postings citing Looker as a proportion of all IT jobs advertised in Milton Keynes.

Job vacancy trend for Looker in Milton Keynes

Looker
Co-occurring Skills and Capabilities in Milton Keynes 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 1 (50.00%) AWS
1 1 (50.00%) Azure
1 1 (50.00%) GCP
1 1 (50.00%) Power Platform
Database & Business Intelligence
1 1 (50.00%) BigQuery
1 1 (50.00%) Data Warehouse
1 1 (50.00%) Power BI
1 1 (50.00%) Tableau
General
1 1 (50.00%) Analytical Skills
Job Titles
1 1 (50.00%) Analyst
1 1 (50.00%) Data Engineer
1 1 (50.00%) Insight Analyst
1 1 (50.00%) Senior
1 1 (50.00%) Senior Data Engineer
Processes & Methodologies
1 1 (50.00%) Agile
1 1 (50.00%) Business Intelligence
1 1 (50.00%) Coaching
1 1 (50.00%) Data Analysis
1 1 (50.00%) Data Engineering
1 1 (50.00%) Data Governance
1 1 (50.00%) Data Privacy
1 1 (50.00%) Data Science
1 1 (50.00%) Data Visualisation
1 1 (50.00%) Data-Driven Decision Making
1 1 (50.00%) Decision-Making
1 1 (50.00%) ETL
1 1 (50.00%) Mentoring
1 1 (50.00%) Platform Engineering
1 1 (50.00%) Scrum
1 1 (50.00%) Visualisation
Programming Languages
1 1 (50.00%) Python
1 1 (50.00%) SQL
Qualifications
1 2 (100.00%) DBS Check
Vendors
1 1 (50.00%) Google