Data Analyst
Organizational Context
The United Nations Development Coordination Office (DCO) Regional Office for Latin America and the Caribbean, based in Panama City, supports Resident Coordinators and UN Country Teams in advancing sustainable development. This role is part of the Data, Digital and Innovation (DDI) function, providing technical expertise and analytical support to strengthen evidence-based decision-making and accelerate progress towards the Sustainable Development Goals (SDGs).
Job Purpose
The Data Analyst provides crucial technical expertise and analytical support to enhance evidence-based decision-making, strategic planning, and the delivery of development results within the UN Secretariat's Development Operations Coordination Office (DCO) Regional Office for Latin America and the Caribbean. This role involves conducting data-driven analysis of regional and country-level development trends, contributing to strategic foresight, and informing key planning processes like Common Country Analyses and UN Sustainable Development Cooperation Frameworks. The incumbent will develop and apply data analytics and visualization tools to translate complex information into actionable insights, support data capabilities across UN Country Teams, and foster collaboration to meet country-specific data needs. Ultimately, the purpose is to strengthen data utilization for improved development outcomes and coordination.
Responsibilities
Develop and implement databases, data collection systems, and analytics strategies to optimize 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 and newsletters. Collaborate with other departments to gather data and express needs. 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 staff capacity in data analytics. 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, the data lifecycle, and database management is necessary. Proficiency in SQL and programming languages like Python or R, along with data visualization tools (e.g., Tableau, Power BI), is essential. Experience in data validation and communicating technical information to diverse audiences is desirable.
Skills
Data Analysis, Data Engineering, Data Science, Statistical Methods, Data Manipulation, Data Visualization, Database Management, SQL, Python, R, Tableau, Power BI, Data Storytelling, Communication, Analytical Thinking, Teamwork, Accountability, Professionalism.