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Data Analyst / Statistician

Manufacturers Association of Nigeria (MAN)

Lagos, Nigeria Permanent

Published 1 month ago · Expires 3 weeks from now

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Job description

This position offers a great opportunity for career growth. Position Overview: - 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.

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