R Jobs in Oxford

R
Oxfordshire > Oxford

The following table provides summary statistics for permanent job vacancies advertised in Oxford with a requirement for R skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited R over the 6 months to 28 April 2024 with a comparison to the same period in the previous 2 years.

6 months to
28 Apr 2024
Same period 2023 Same period 2022
Rank 59 - 60
Rank change year-on-year - - -
Permanent jobs citing R 4 0 2
As % of all permanent jobs advertised in Oxford 0.61% - 0.39%
As % of the Programming Languages category 1.74% - 0.65%
Number of salaries quoted 2 0 1
10th Percentile - - -
25th Percentile £75,000 - £27,500
Median annual salary (50th Percentile) £80,000 - £30,000
75th Percentile £85,000 - £32,500
90th Percentile - - -
Oxfordshire median annual salary £37,500 £65,000 £40,000
% change year-on-year -42.31% +62.50% -46.67%

All Programming Languages
Oxford

R is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Oxford with a requirement for coding skills.

Permanent vacancies with a requirement for coding skills 230 124 307
As % of all permanent jobs advertised in Oxford 35.22% 26.44% 60.55%
Number of salaries quoted 211 105 197
10th Percentile £40,000 £36,250 £32,500
25th Percentile £41,250 £43,000 £43,750
Median annual salary (50th Percentile) £55,000 £58,000 £61,250
Median % change year-on-year -5.17% -5.31% +19.51%
75th Percentile £67,500 £81,250 £68,750
90th Percentile £77,750 £88,500 £75,000
Oxfordshire median annual salary £55,000 £55,000 £55,000
% change year-on-year - - +10.00%

R
Job Vacancy Trend in Oxford

Job postings citing R as a proportion of all IT jobs advertised in Oxford.

Job vacancy trend for R in Oxford

R
Salary Trend in Oxford

3-month moving average salary quoted in jobs citing R in Oxford.

Salary trend for R in Oxford

R
Co-occurring Skills and Capabilities in Oxford 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 2 (50.00%) Power Platform
Communications & Networking
1 2 (50.00%) Internet
Database & Business Intelligence
1 2 (50.00%) Power BI
General
1 2 (50.00%) Finance
1 2 (50.00%) Pharmaceutical
1 2 (50.00%) Public Sector
1 2 (50.00%) Social Skills
Job Titles
1 2 (50.00%) Analyst
1 2 (50.00%) Data Analyst
1 2 (50.00%) Data Scientist
1 2 (50.00%) Senior
1 2 (50.00%) Senior Data Scientist
1 2 (50.00%) SQL Analyst
1 2 (50.00%) SQL Data Analyst
Miscellaneous
1 2 (50.00%) Algorithms
1 2 (50.00%) Cyber Threat
Processes & Methodologies
1 4 (100.00%) Data Science
2 2 (50.00%) Analytics
2 2 (50.00%) Business Strategy
2 2 (50.00%) Data Analysis
2 2 (50.00%) Data Cleansing
2 2 (50.00%) Decision-Making
2 2 (50.00%) Machine Learning
2 2 (50.00%) Technical Leadership
Programming Languages
1 4 (100.00%) Python
2 2 (50.00%) SQL
Qualifications
1 2 (50.00%) Degree
1 2 (50.00%) Master's Degree
1 2 (50.00%) PhD
Quality Assurance & Compliance
1 2 (50.00%) Data Quality