Support the research team in the efficient collection and analysis of varied and cross-disciplinary data to incorporate into useable and reportable formats
Support in the development of robust data pipelines for the ingestion of these data sources
Support the development of scripts in Python to query, analyse, and interpret data using statistical techniques
Support the Development of Python web scraping scripts to expand the data sources available for analysis
Provide input into reports and presentations to disseminate analytical outputs
Work with CPI’s communications and research teams to develop data visualizations and web interfaces
Contribute to expanding CPI’s AWS Cloud Platform, developing pipelines using AWS Glue and AWS Lambda

Requirements

Degree in a quantitative field, such as computer science, quantitative finance or economics, physics, engineering, mathematics, statistics, or data science
Good Python skills for data processing and analysis (Jupyter notebooks, Pandas, Numpy) or experience with languages such as R with a willingness to translate those skills into Python
Good examples record of data analytics work and development of robust data processing pipelines
Fluency in written and spoken English
Ability to present complex data concepts to non-expert colleagues
Highly organised, with the ability to manage workload and plan outputs

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata analysisdata processingdata visualizationweb scrapingstatistical techniquesdata pipelinesJupyter notebooksPandasNumpy

Soft Skills

communicationpresentation skillsorganizational skillsworkload managementplanning