Data Processing and Analysis Automation with R

UNDP operates in over 170 countries and territories, working to eradicate poverty while protecting the planet. We support countries in developing strong policies, skills, partnerships, and institutions to help sustain their progress. The UNDP Regional Bureau for Europe and the Commonwealth of Independent States (RBEC) operates through its Istanbul Regional Hub and works in close collaboration with 18 Country Offices across Europe and Central Asia.

The Online volunteers will be part of the UNDP RBEC Regional Economic Analysis Team, working closely with the Policy Analysis Specialist and other thematic leads. The focus will be on preparing high-frequency data analysis to support policy recommendations for advancing inclusive green growth in the region.

Under the supervision of the Policy Analysis Specialist, the Online Volunteers will support the development of a reproducible data pipeline and analysis dashboard using the Statistical software for Data Analysis R. The geographic area of interest includes the Western Balkans, Eastern Europe, Southern Caucasus, and Central Asia. The project involves the following activities: - Automate data retrieval: write R scripts to automatically extract high-frequency social and economic indicators from public APIs - Data wrangling: use R to clean, standardize, and impute missing values for social and economic indictors across national, subnational, and gender-disaggregated levels - Conduct analysis and visualization: assist in the implementation of analysis and visualization of outputs through Markdown reports or Shiny app - Code documentation: ensure R code is clean, well-documented, and version controlled in GitHub Note: previous knowledge of social or economic indicators is not strictly necessary, as the focus is on technical data processing