Associate Data Specialist
Organizational Context
The UN Resident Coordinator Offices (UN RCO), part of the UN Secretariat's Development Operations Coordination Office (DCO), support countries in achieving development priorities and SDGs. This role is within the UN RCO in Antananarivo, Madagascar, reporting to the Head of the RCO. The office is focused on data, digital, innovation, and strategic foresight to accelerate the 2030 Agenda.
Job Purpose
The Associate Data Specialist supports the UN Resident Coordination Office (RCO) in Antananarivo by developing and implementing databases, data collection systems, and analytics to optimize statistical efficiency and quality. This role involves collaborating with internal and external counterparts to enhance data-driven decision-making for development, humanitarian, and peace initiatives. The specialist will contribute to monitoring, evaluation, and learning products, and build capacity in data analytics for UN personnel and national partners, promoting a data-driven culture within the RCO and supporting the acceleration of the 2030 Agenda.
Responsibilities
Develop and implement databases, data collection systems, and analytics to optimize statistical efficiency and quality. Acquire, clean, and maintain data systems, ensuring data integrity and accuracy. Analyze and interpret trends using statistical methods. Design and implement process improvements for data analytics tasks, including automation and architecture optimization. Develop reports, dashboards, and visualizations to support evidence-based decision-making. Contribute to monitoring, evaluation, and learning (MEL) products and support data preparation for data scientists. Build staff and partner capacity in data analytics through training and workshops. Collaborate with technical teams to improve data flows and quality. Serve as a resource person for data analytics within the RCO, promoting a data-driven culture.
Work Experience
A minimum of two years of progressively responsible experience in translating business requirements into technical solutions is required. Experience in data quality assurance and validation is required. Desirable experience includes data storytelling, data visualization tools (e.g., Tableau, Power BI, R), communicating technical matters to diverse audiences, and knowledge of the data life cycle.
Skills
Professionalism, Strategic Thinking, Analytical Thinking, Data Collection, Data Analysis, Report Writing, Data Interpretation, Communication, Planning and Organizing, Data Engineering, Data Science, Data Management, Data Analytics, Data Visualization, Capacity Building.