Data Analyst

Key Responsibilities:

• Support the creation of the rankings database, including design of data structures and the master data management approach. 
• Collect, load, transform, and analyze datasets (economic, environmental, survey, etc.). 
• Filter and sort data to support the ranking process. 
• Write code to transform data within the rankings data architecture 
• Support desk research and expert panel analysis with quantitative insights. 
• Ensure data quality and consistency across all geographies and sources. 
• Prepare data for editorial and reporting outputs, including visualizations and tables. 
• Document data processes and methodologies for transparency and reproducibility. 

Main Deliverables:

• Cleaned and analyzed datasets ready for ranking. 
• Ranking tables and relevant code. 
• Technical documentation of data processes and methodologies. 

Collaboration & Integration:

• Works closely with the Researcher and wider R&R team to validate data and incorporate qualitative insights. 
• Supports the Project Manager with data-driven updates and risk identification. 
• Collaborates with editorial teams to ensure data is presented accurately. 

Required skills

• Analytical mindset 
• Ability to identify data quality issues 
• Good SQL skills within a Postgres or similar database 
• Data science coding experience (for example in R or Python) 
• Ability to communicate data insights to non-technical team members 

General Expectations for All Roles:

• Demonstrate adaptability and proactive problem-solving. 
• Maintain clear and timely communication within the team and with stakeholders. 
• Uphold high standards of data integrity, research rigor, and project transparency. 
• Contribute to a collaborative and inclusive project culture. 
  • Ability to work remotely