• Application Deadline:
• Position: Data Analyst / Statistician



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

Job Summary

• We are seeking an experienced Data Analyst / Statistician to lead and execute high-impact economic analyses and data-driven research projects.


• This role involves leveraging advanced economic theory, empirical methods, and large-scale datasets to inform policy, strategy, or business decisions.


• The ideal candidate is an independent thinker with deep quantitative skills, practical experience in econometric modeling, forecasting, a strong publication and theoretical background and policy advisory track record.

Key Responsibilities

• Collect, clean, and validate data from multiple sources.


• Lead the design and execution of empirical research projects, including model specification, data acquisition, and econometric analysis.


• Apply advanced statistical and economic techniques to evaluate policy interventions, market behavior, or strategic decisions.


• Manage and analyze large, complex datasets using tools such as R, Stata, or Python, Eview, SPSS. And other software.


• Produce high-quality research outputs including PowerPoints Presentation, working papers, technical reports, policy briefs, and peer-reviewed publications.


• Conduct statistical analyses and interpret results to identify trends, patterns, and insights.


• Develop and maintain dashboards and reports to support advocacy and policy decision-making.


• Communicate findings clearly and effectively to both technical and non-technical stakeholders.


• Manage Database and coordinate the implementation of data protection, governance and quality assurance.


• Translate technical findings into actionable insights for both technical and non-technical audiences.


• Collaborate with internal teams or external stakeholders (e.g., government agencies, research institutions).


• Stay current with relevant economic literature and methodological advances.