Data Analyst
Organizational Context
The United Nations Development Coordination Office (DCO) Regional Office for Asia and the Pacific, based in Bangkok, is part of the DCO's Data, Digital and Innovation (DDI) function. This office supports Resident Coordinators and UN Country Teams in advancing sustainable development priorities and accelerating progress towards the SDGs. The Data Analyst role is integral to strengthening evidence-based decision-making and strategic planning within this context.
Job Purpose
The Data Analyst provides essential technical expertise and analytical support to enhance evidence-based decision-making, strategic planning, and development results within the UN Resident Coordinator system in the Asia-Pacific region. This involves conducting data-driven analysis of development trends, contributing to strategic foresight, and informing key planning processes like Common Country Analyses and UN Sustainable Development Cooperation Frameworks. The role focuses on translating complex information into actionable insights through data analytics and visualization, supporting data capabilities across country teams, and fostering collaboration to meet country-specific data needs. Ultimately, the purpose is to leverage data to improve the effectiveness and impact of UN development coordination efforts.
Responsibilities
Develop and implement databases, data collection systems, and analytics strategies to optimize statistical efficiency and quality. Analyze trends and patterns using statistical methods to identify key features in data. Implement analysis, reporting, and quality control capabilities, identifying opportunities for process improvement. Create reports, dashboards, and visualizations to effectively communicate findings and support decision-making. Lead the production of data products such as reports and newsletters. Collaborate with other departments to request and express data needs, and work with data engineers and scientists to enhance data flows and quality. Stay updated on data analytics best practices and technologies. Conduct training to build data analytics capacity among staff. Support project execution through robust data analysis and collaboration.
Work Experience
A minimum of five years of progressive experience in Data Analysis, Data Engineering, or Data Science is required. Experience with data manipulation, statistical methods, data lifecycle management, database management (SQL), and programming languages (Python, R) is necessary. Experience with data storytelling and visualization tools is also required. Experience in assessing data accuracy and communicating technical matters to diverse audiences is desirable.
Skills
Data Analysis, Data Engineering, Data Science, Statistical Methods, Data Manipulation, Data Collection, Data Wrangling, Data Visualization, Database Management, SQL, Python, R, Tableau, Power BI, Qlik, Data Storytelling, Communication, Analytical Thinking, Professionalism, Accountability, Teamwork.