Data Analyst Intern, Istanbul, Turkiye
Organizational Context
UN Women's Europe and Central Asia Regional Office (ECA RO) in Istanbul, Türkiye, focuses on strengthening gender data and statistics. The office supports country offices and national partners in promoting the availability and use of gender data for policy and advocacy, and conducts regional analysis on gender equality issues. This role supports the implementation of the regional gender data and statistics portfolio.
Job Purpose
This internship aims to support the UN Women Europe and Central Asia Regional Office (ECA RO) in its regional gender data and statistics portfolio. The intern will provide crucial analytical and data management support, contributing to the compilation, processing, and analysis of gender statistics. The role is designed to enhance the availability and use of reliable gender data for evidence-based policies and programs, ultimately advancing gender equality and women's empowerment in the region.
Responsibilities
The Data Analyst Intern will support the compilation, processing, and organization of gender-related data and indicators from various national, regional, and international sources. This includes regularly updating and maintaining country and regional gender datasets, ensuring data accuracy and completeness. The intern will conduct basic data cleaning, validation, and consistency checks, flagging any potential gaps or inconsistencies. Furthermore, they will perform descriptive statistical analysis and analyze trends related to Gender Equality and Women's Empowerment (GEWE), including comparative and time-series analysis. The role involves preparing charts, tables, and other data visualizations for reports and analytical briefs, and supporting data and analytical inputs for ad hoc requests from UN Women ECA RO and country offices.
Work Experience
While specific work experience is not explicitly required for this internship, a strong foundation in quantitative research methods and data analysis is essential. Experience in organizing events or training would be an asset. Candidates are expected to possess strong computer skills, including proficiency in Microsoft Word, Excel, and PowerPoint.
Skills
Strong quantitative and analytical skills; Ability to analyze and interpret statistical data; Data management from multiple sources; Basic statistical methods; Descriptive analysis; Trend analysis; Data visualization; Microsoft Office Suite (Word, Excel, PowerPoint); Familiarity with statistical software (R, Stata, SPSS) is required; Knowledge of Power BI is a strong asset.