Co-Lead – Data Analytics & Business Intelligence (BI)

Role Overview

The Co-Lead will lead the architecture and deployment of Big Data pipelines, scalable ETL/ELT transformations, enterprise data warehouses/data lakes, and executive interactive Business Intelligence dashboards that monitor national schemes and socioeconomic outcomes.

What You Will Do

Big Data Architecture & Pipeline Engineering, ETL/ELT Transformation & Data Quality, Executive BI Dashboards & Decision Intelligence, Business Development & Client Expansion, Data Governance & Interoperability Standards, Procurement Toolkit for Analytics & BI, Capacity Building & Data-Driven Culture, Technical Appraisal & Advisory.

Why It Might Be a Fit

The incumbent will spearhead Business Development—positioning NeGD’s data analytics, visual analytics, and decision intelligence offerings to government departments, securing funded analytics mandates, onboarding administrative agencies onto centralized dashboards, and leading collaborations with public policy and analytics partners.

Requirements

• Graduate or Post Graduate Degree in Information Technology, Computer Science, Statistics, Mathematics, Data Analytics, Economics, or related quantitative disciplines.
• Minimum 8+ years of professional experience in data engineering, data warehousing, BI development, and enterprise data analytics.
• At least 4 years of hands-on experience executing large-scale Big Data analytics projects involving complex ETL transformations, schema modeling, and high-volume transactional data.
• Good understanding of Data Architecture, AI/ML, AI tools and Infra.
• Proven expertise in modern data stack technologies: Big Data processing (Hadoop, Spark, Presto), ETL tools (Fivetran, Informatica, Airflow, dbt), databases (PostgreSQL, ClickHouse, Snowflake, Redshift), and BI platforms (Tableau, Power BI, Apache Superset).
• Demonstrated success in Business Development, client discovery, pre-sales solutioning, or institutional partner onboarding in data analytics/IT domains.
• Proficiency in SQL, Python, or R for data wrangling, statistical analysis, and predictive modeling.
• Certified Data Management Professional (CDMP), Tableau Certified Desktop/Server Specialist, Microsoft Certified: Power BI Data Analyst Associate, or AWS/Azure Data Engineer Associate.

Tagged as: Data Analysis