Data Analytics Expert

Farsight Africa Group

Job Description

Roles & Responsibilities

Desired Candidate Profile

Applicants must be from Somaliland.

The successful candidate will play a key role in transforming organizational data into actionable insights while ensuring data quality, governance, and analytical accuracy.

Academic and Professional Qualifications

• Bachelor s degree in Data Science, Statistics, Computer Science, Information Systems, Economics, Mathematics, Finance, or a related field from a recognized university.
• Relevant postgraduate qualifications in data analytics, business intelligence, artificial intelligence, machine learning, taxation, or public financial management will be an added advantage.
• Internationally recognized professional certifications in data analytics, data science, business intelligence, artificial intelligence, or related disciplines will be considered an added advantage.

Professional Experience

• Minimum of five (5) years demonstrated experience in data analytics, business intelligence, or predictive modelling within large-scale ICT systems, preferably in government revenue, taxation, customs, financial services, or public sector environments.
• Proven experience in developing, testing, and implementing statistical models, regression analysis, predictive analytics, and risk-scoring algorithms to support compliance, fraud detection, audit selection, revenue forecasting, and decision-making processes.
• Hands-on experience using modern data analytics and visualization tools included within the bidder s proposed Integrated Tax Administration System (ITAS) solution or equivalent enterprise analytics platforms.
• Demonstrated ability to analyze large and complex datasets from multiple sources and produce actionable insights, dashboards, reports, and automated analytical outputs for management and operational use.
• Experience in data quality management, data governance, and integration of analytics within enterprise systems will be an added advantage.
• Experience working on tax administration, revenue authority modernization, e-government, or digital transformation projects will be highly desirable.