Overview
Support BIOC's mandate of allowing data-driven decision-making by developing advanced analytics and integrating new technologies into operational workflows.
Key Responsibilities
- Develop advanced analytics models to produce actionable insights from operational and institutional data.
- Support predictive analytics for pipeline formulation, risk forecasting, strategic prioritization and project performance.
- Develop interactive dashboards, analytical tools, and data-driven applications.
- Integrate latest technologies—including AI, machine learning, and automation techniques—into operational workflows.
- Collaborate with sector and regional departments to identify data needs, refine analytical approaches, and provide tailored solutions.
- Promote a data-driven culture by supporting capacity-building activities, facilitating peer learning, developing internal knowledge products, and showcasing impactful analytics use cases.
Required Experience
- At least 6 years of relevant professional experience developing advanced analytics models, including predictive modeling, statistical analysis, machine learning, or AI-driven solutions; with international experience working in several countries.
- Proficiency in modern coding and data processing languages, such as Python, R, SQL, or equivalent analytical tools.
- Experience developing dashboards, analytical applications, and data-driven tools using platforms such as Power BI, Tableau, or similar.
- Experience integrating latest technologies (e.g., AI, machine learning, automation) into business or operational workflows.
- Experience applying data governance, data validation, and systematic methodologies to ensure data accuracy, integrity, and usability.
- Experience interpreting institutional and operational data, translate analytical findings into actionable insights, and support evidence-based decision-making.
Qualifications
A University degree in Data Science, Computer Science, Statistics, Engineering, Economics, Applied Mathematics, or a related field, preferably at post-graduate level or its equivalent, or with comparable professional experience in advanced analytics and data science.
