RESPONSIBILITIES:

The incumbent will be responsible for:

• Driving strategic decision-making through the effective utilization of data, business intelligence, and market research; 
• Enhancing the overall operational efficiency and user experience by transforming raw data into actionable insights, using both quantitative and qualitative methodologies;
• Ensuring that an effective quality management system is in place that contributes to the improved quality of the library services and products;
• Developing and implementing data architectures, practices, and processes to effectively manage the department’s full data lifecycle, ensuring data consistency, availability, accuracy, and security to meet the department’s information needs;
• Creating and sustaining reliable backend data pipelines using programming skills to enable clean data flow;
• Designing, localise and managing dashboards and reporting solutions to guide decision-makers and help identify risks and opportunities;
• Performing data analysis to extract meaningful insights from data and translate these insights into recommendations, guiding strategic and operational decisions, from process enhancements to resource allocation;
• Developing and maintaining performance metrics to track the department’s progress across various areas, and increase productivity by developing automated reporting/forecasting tools; 
• Establishing a communication plan with library staff to ensure smooth collaboration; 
• Leading data engagements with cross-functional teams and establish a communication plan with to ensure smooth collaboration;
• Assisting with analytics to measure the success in various domains of the department.

MINIMUM REQUIREMENTS:

• Bachelor’s Degree or B-Tech in Statistics, Data Science, Computer Science, or related field PLUS three years of experience in data analytics and business intelligence.  

ADDED ADVANTAGES AND PREFERENCES:

• Postgraduate qualification, preferably in the analytical field.