Data Analyst specializing in CRM and client experience at Sevetys. Focused on optimizing data - driven CRM actions for veterinary health sector.
About the role
- Data Analyst supporting climate finance dataset creation and analysis. Join CPI to work on innovative projects driving economic growth and addressing climate change.
Responsibilities
- Support the research team in the efficient collection and analysis of varied and cross-disciplinary data to incorporate into useable and reportable formats. This will include but is not limited to investment data and transaction and impact attributes.
- Develop robust data pipelines for the ingestion of these data sources
- Develop scripts in Python to query, analyse, and interpret data using statistical techniques
- Develop 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. Candidates without such a degree but who can demonstrate experience in a similar Data Analyst / Data Scientist / Data Engineering role are welcome to apply. Non-traditional qualifications with a significant Python for Data Analysis component will also be considered.
- Excellent 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
- Strong record of data analytics work and development of robust data processing pipelines
- Previous professional work experience in a similar role/related field.
- 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
- flexible working hours
- Professional development opportunities
- Hybrid working approach
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