Data Analyst / Statistician at Manufacturers Association of Nigeria (MAN)

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.

Qualifications
Education:

• BSc Degree in Economics, MSc Economics, Econometrics, Statistics, Data Science, or a closely related field would be an added advantage.

Experience:

• 5+ years of experience in research data analysis or statistics
• Proven experience with data analysis tools such as SQL, PowerPoints, R, or Python, E-View, SPSS etc.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker) is a plus.
• Experience in speech & position writing.

Skills:

• Research oriented skills
• Deep understanding of microeconomics, macroeconomics, industrial economics or development economics.
• Strong communication skills, with ability to explain complex ideas clearly and persuasively.
• Deep understanding of Data Mining, analytics and infographics
• Demonstrated ability to work independently and lead multi-disciplinary projects.
• Familiarity with economic modeling, forecasting, or cost-benefit analysis is a plus.
• Sector-specific knowledge (e.g., manufacturing, industrial, investment, labor markets, healthcare, energy, trade, public finance) is a strong advantage.
• Good understanding of forecasting techniques, analysis, and interpretation of results.