Risk Data Analyst

Requirements

• Proven hands-on experience managing end-to-end analytics projects.
  
• Ability to build dynamic analytical models using advanced formulas in Excel and Google Sheets.
  
• Strong SQL skills, including writing complex queries using joins and window functions to validate large datasets.
  
• Experience developing interactive dashboards, using table calculations, storytelling features, and advanced filtering.
  
• Ability to implement best-practice visualisation design principles and publish dashboards to Tableau Server/Cloud.
  
• Proficiency in Python or R for advanced analytics and visualisation (e.g., scikit-learn, matplotlib, Plotly).
  

• Creating and maintaining risk-related dashboards for local operations based on programme, donor, and operational needs.
  
• Managing and organising data from multiple sources, including those not captured within internal systems.
  
• Developing and maintaining reports that triangulate data to support the Risk Management function with information about actors on our platform.
  
• Analysing data to detect risk and fraud patterns and reporting these insights to the Risk Management team.
  
• Building tools that help local and global teams identify trends, understand risks, and make informed decisions to improve process controls.
  
• Supporting donor reporting where needed.
  
• Participating actively in meetings and projects, collaborating closely with team members, and staying up to date with the latest data and fraud detection practices.
  
• Supporting colleagues and contributing to other projects across the organisation as required.