Reporting and Analytics Engineer (5 Positions)

ORGANIZATIONAL 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 Engineer position who meet the following requirements.

Required number: Five

Reports to: Chief Information Officer

Duty station: Addis Ababa

Duration: Contract (two months with the possibility of extension)

Job Summary

Reporting and Analytics Engineer is responsible to design, develop, and maintain 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.

Education and Work Experience:

• BSC degree in Computer Science, Computer Engineering, Software Engineering, Data Science or any other related fields.
• 3 year of experience on the same job positions.

Know-How (Skills) (Technical competencies):

• Experience with BI tools (Power BI, Tableau, Looker, Sisense, or similar).
• SQL Mastery (complex joins, window functions, query optimization).
• Knowledge of data warehousing (Snowflake, BigQuery, Redshift) and ETL tools (dbt, Airflow, Talend).
• Scripting skills (Python, R, or Bash) for data manipulation/automation.
• Familiarity with version controls (Git) and cloud platforms (AWS/Azure/GCP).
• Strong communication to translate business needs into technical solutions.
• Problem-solving mindset with attention to data quality and usability.
• Ability to work in Agile/Scrum environments.
• Experience with real-time analytics (Kafka, Spark Streaming).
• Knowledge of advanced analytics (statistical modeling, ML concepts).
• Exposure to data governance (GDPR, CCPA compliance).