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Data Analyst

Summary

Analyze economic and financial datasets to produce insights, build Power BI dashboards, and automate reports using Python, SQL, and SPSS.

🚨HIRING

SPM Professionals

Job Title: Data Analyst
Location: Abuja (FCT)
Experience: Minimum 1 year

About the Role

SPM Professionals, a multidisciplinary firm delivering economic and financial advisory, research, and strategic solutions, is seeking a detail-oriented, analytical Data Analyst to transform complex datasets into actionable insights, design intuitive dashboards, and leverage statistical methods to support strategic business decisions.

Key Responsibilities

  • Collect, clean, preprocess, and integrate data from structured and unstructured sources using Python and SQL
  • Conduct statistical analyses, hypothesis testing, and quantitative research using SPSS and Excel
  • Build, maintain, and automate interactive dashboards and reports in Power BI to monitor KPIs and business metrics
  • Use Python (Pandas, NumPy, Matplotlib/Seaborn, Scikit-Learn) for predictive modeling and exploratory data analysis
  • Partner with cross-functional teams to define key metrics and deliver data-driven solutions
  • Translate technical findings into clear, actionable insights for stakeholders and management

Requirements

  • Bachelor's Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or related quantitative field
  • Minimum of 1 year experience
  • Advanced Excel skills (VLOOKUP/XLOOKUP, INDEX/MATCH, Pivot Tables, Power Query, data modeling)
  • Strong SPSS experience (regression, ANOVA, factor analysis, research data processing)
  • Proven Power BI skills (DAX, dashboard design, scheduled refresh)
  • Proficiency in Python for data manipulation, statistical analysis, and scripting
  • Fundamental SQL knowledge for database querying
  • Strong analytical thinking and attention to detail
  • Excellent verbal and written communication skills

Benefits

  • Competitive compensation package
  • Career growth and professional development opportunities
  • Collaborative, data-driven team culture

Application Closing Date

23rd August, 2026

How to Apply

Send your CV to [email protected] using your location and job position as the subject of the email.

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