Economist

Responsibilities

Key Responsibilities:

• Conduct applied economic analysis, including cost-benefit assessment, policy evaluation, and basic modelling.
• Manage and interrogate large datasets, ensuring accuracy, consistency, and reproducibility of results.
• Build interactive dashboards and reports (e.g. Power BI, Tableau) to present findings clearly to technical and non-technical audiences.
• Translate raw data into actionable insights that support business cases, socio-economic assessments, and strategic recommendations.
• Collaborate with multidisciplinary teams (planning, transport, environment, real estate) to integrate economic evidence into broader project deliverables.
• Contribute to the development of in-house tools, modelling frameworks, and data visualisation standards.
• Support business development through analytical inputs to proposals, presentations, and client discussions.
  

Qualifications

Qualifications and Experience:

• Undergraduate degree in Economics, Data Science, Statistics, or related field; postgraduate qualification preferred.
• Strong background in applied economics, quantitative analysis, or policy evaluation.
• Proficiency in data analysis tools (Excel, Power BI, R, Python, or Stata) and data visualisation platforms.
• Experience in building and maintaining dashboards, automating data pipelines, and presenting analysis to senior stakeholders.
• Demonstrated ability to handle and analyse large, complex datasets (e.g. socio-economic, demographic, spatial, or market data).
• Excellent written and verbal communication skills in English, with the ability to distil complex findings into clear narratives.
  

• Experience with GIS and spatial analysis (highly desirable).
• Familiarity with international datasets and standards (UN, World Bank, national statistics agencies).
• Strong critical-thinking and problem-solving skills, with a focus on practical, evidence-based solutions.
• Ability to manage multiple projects simultaneously under time and budget constraints.
• Passion for innovation, sustainability, and applying data to drive meaningful socio-economic outcomes.