Technical Advisor: Data Systems and Analytics at The National Agency for the Control of AIDS (NACA)

Supervisor: NACA DG
Duration of contract: 13 months

Job Summary

• This exciting role will help develop new ways of looking at and analyzing national HIV data to evaluate national response, monitor progress towards epidemic control and provide insights to support important decision making. The Analyst will be responsible for extracting, transforming and mapping HIV data into performance metrics and KPIs to support NACA’s  mandate by providing technical guidance that will enhance the Agency’s capacity to integrate data in coordinating the national multi-sectoral response to HIV epidemic.

Key Responsibilities

• Extract, collect and transform multi-sectoral HIV data and prioritize analytics needs for evaluating key performance indicators for national response
• Leads data cleaning and preparation and translation of questions into relevant queries
• Work with all partners to ensure uniformity in reporting data for evaluating key performance metrics
• Mentor and build capacity of NACA staff on data handling and analytics
• Build dashboards, creat data sets and effectively utilize statistical, data mining, visualization, machine learning, and/or deep learning techniques in delivering data science insights
• Assist responsible NACA departments in developing metrics for improved planning, monitoring and measuring impact of national response programs and interventions
• Advice the NACA DG on measures to strengthen data management systems for HIV/AIDS datasets
• Provide data management technical support to the IBBSS 2019; KP size estimates and any other surveys and surveillance activities during the period of this engagement
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Perform any other tasks that may be requested by the NACA DG

Qualifications/Experience

• 3 to 5 years’ working experience in mining and managing big data as a data analyst
• Experience leading analytics projects and ability to multi-task while prioritizing important deliverables
• Proven ability to analyze data and understanding of how data analysis translates into policy decisions
• Working knowledge of advanced modelling techniques such as cluster analysis, structural equation modelling and hierarchical linear modelling
• Experience using data analytics and visualization tools such as Cognos, Alteryx Tableau, Qlik, Spotfire, PowerBI, and ThoughtSpot
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (Python, Oracle, XML, Javascript, ETL frameworks)
• Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions
• Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains
• Strong quantitative and analytical skills with data science tools, including Python, R, Scala, Julia, or SAS
• Advanced degree in Public Health, Mathematics, Computer Science, Economics, Statistics or related fields is an added advantage