Data Analyst
Organizational Context
The United Nations Development Coordination Office (DCO) Regional Office for Europe and Central Asia, based in Istanbul, 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 this mission, providing essential technical expertise and analytical support.
Job Purpose
The Data Analyst provides critical technical expertise and analytical support to enhance evidence-based decision-making, strategic planning, and development results within the UN system. This involves conducting data-driven analysis of regional and country-level development trends, contributing to strategic foresight, and identifying emerging risks and opportunities. The role supports the development of Common Country Analyses and UN Sustainable Development Cooperation Frameworks. Furthermore, the Data Analyst develops and utilizes data analytics and visualization tools to translate complex information into actionable insights, strengthening data capabilities across Resident Coordinator Offices and UN Country Teams, and fostering collaboration with relevant UN entities and partners to ensure data quality and effective data product development.
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 data sources and process improvement opportunities. Create reports, dashboards, and interactive visualizations to communicate findings and support decision-making. Lead the production of data products like 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 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 Lifecycle Management, Database Management, SQL, Python, R, Data Visualization (Tableau, Power BI, Qlik), Data Storytelling, Data Validation, Communication, Professionalism, Accountability, Teamwork.