Data Analyst supporting climate finance dataset creation and analysis. Join CPI to work on innovative projects driving economic growth and addressing climate change.
About the role
- Junior Data Analyst supporting varied data analysis for climate finance at CPI. Contributing to data visualizations and building robust data pipelines for climate financing projects.
Responsibilities
- 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
- generous PTO of 28 days per year
- 5 study days
- Christmas Office closure
- Private Health Insurance
- homeworking and wellbeing benefits
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