Founded in 2010, Farsight Africa Group is a leading full-service Pan-African communications company that delivers impactful solutions to companies, governments, development organisations and individuals across East Africa. Given the incessant news cycle in both the traditional and digital media, we believe it is absolutely vital to employ reputation management and strategic communications to further the manifold objectives of our clients. We assist our diverse client base with navigating today’s complex information space from offices located in Kenya and Somalia. Farsight Africa Group has established a reputation in the marketplace for working in complex and challenging environments that demand a comprehensive understanding of local cultures, indigenous communication practices and relationships with stakeholders, at both the grassroots and national level. In addition, the firm has excellent contacts with local and international journalists as well as opinion leaders across the region. The firm has leveraged its unique specialist skills and networks to deliver integrated communication solutions for numerous high-profile clients, including the African Union Mission to Somalia, the U.S. Embassy in Nairobi, Hormuud Telecom, the United Nations Political Office for Somalia, Salaam Africa Bank, and the Office of the Prime Minister of the Transitional Federal Government of Somalia.Position Overview Farsight Africa Technologies is looking for a Data Analytics Expert that will support the design, implementation, and optimization of data analytics, reporting, and risk analysis capabilities within enterprise ICT and tax administration projects. The role involves developing data models, analytics frameworks, dashboards, and risk algorithms to support operational intelligence, compliance monitoring, and strategic decision-making. The successful candidate will play a key role in transforming organizational data into actionable insights while ensuring data quality, governance, and analytical accuracy. Scope of Work: Data Analytics and Reporting: Design and implement enterprise data analytics frameworks and reporting solutions. Develop risk models, algorithms, and analytical dashboards. Analyze structured and unstructured datasets to identify trends, anomalies, and operational insights. Support predictive analytics and statistical modeling initiatives. Design data visualization and business intelligence dashboards. Ensure data integrity, quality assurance, and consistency across systems. Support integration of analytics tools with enterprise platforms and databases. Business Intelligence and Decision Support: Develop operational, executive, and compliance reports. Support tax administration analytics and revenue intelligence initiatives. Conduct regression analysis, forecasting, and statistical modeling. Identify opportunities for process optimization using data-driven insights. Collaborate with technical and business teams to define analytical requirements. Support user training and adoption of analytics tools and dashboards. Governance and Compliance: Ensure compliance with data governance, privacy, and security standards. Maintain audit trails and analytical documentation. Support data migration, validation, and reconciliation activities. Perform any other duties assigned from time to time. 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.