Reporting and Analytics Lead

Internal/ External Vacancy AnnouncementORGANIZATIONAL OVERVIEW The National Election Board of Ethiopia (NEBE), re-established by proclamation No. 1133/2011, is the constitutionally mandated body to conduct elections, organize referendum and regulate political parties in Ethiopia. NEBE is working to boost its institutional strength with a special focus on the enhancement of human resource capacity. Accordingly, NEBE would like to invite applicants for the Reporting and Analytics Lead position who meet the following requirements.Required number:         OneReports to:                     ICT Project Manager Duty station:                  Addis AbabaDuration:                Contract (Six months with the possibility of extension)Job SummaryReporting and Analytics Lead is responsible for designing, developing, and maintaining scalable data reporting solutions that drive business insights. Work closely with stakeholders to transform raw data into actionable dashboards, reports, and visualizations. Duties and responsibilities

• Data Pipeline & Reporting Development 
  • Design and build ETL/ELT pipelines to aggregate and process data from multiple sources (databases, APIs, logs). 
  • Develop and optimize SQL queries, stored procedures, and data models for reporting. 
  • Create interactive dashboards, reports, and visualizations using BI tools (Power BI, Tableau, Looker, Metabase). 
• Analytics & Business Intelligence 
  • Collaborate with data scientists, analysts, and business teams to define KPIs and reporting requirements. 
  • Implement self-service analytics solutions for stakeholders. 
  • Ensure data accuracy, consistency, and governance across reports. 
• Performance Optimization & Automation 
  • Optimize report performance (query tuning, caching, partitioning). 
  • Automate report generation and distribution (email alerts, Slack/Teams integrations). 
  • Maintain documentation for data definitions, metrics, and report logic. 
• Advanced Analytics (Optional) 
  • Support ad-hoc data analysis for business stakeholders. 
  • Integrate predictive analytics or machine learning outputs into reports.