Senior Forecasting Analys

Role Description The Senior Forecasting Analyst is a part-time, remote role responsible for developing, refining, and communicating data-driven forecasts that support strategic planning across the UN80 Initiative. Day-to-day tasks include gathering and cleaning data from multiple internal and external sources, building quantitative forecasting models, and performing scenario and sensitivity analyses. The analyst will translate complex findings into clear insights, visualizations, and recommendations for leadership and program teams. This role also involves monitoring key indicators, updating forecasts as new information becomes available, and collaborating with cross-functional partners to align forecasts with operational and strategic priorities. The Senior Forecasting Analyst is expected to contribute to continuous improvement of forecasting methodologies and tools and to mentor team members on best practices.
Qualifications
Strong quantitative and analytical skills, including experience in forecasting, time-series analysis, and scenario modeling.
Proficiency with data and analytics tools (e.g., Excel, SQL, R, Python, or similar) and data visualization platforms (e.g., Power BI, Tableau, or equivalent).
Background in economics, statistics, data science, public policy, finance, or a related field; advanced degree is an asset.
Ability to translate complex data into clear narratives, concise briefings, and actionable insights for non-technical audiences.
Experience working with limited or imperfect data sets, including designing assumptions, stress tests, and sensitivity analyses.
Strong organizational and time-management skills, with the ability to handle multiple projects in a remote, part-time environment.
Collaborative mindset and experience working in diverse, cross-cultural, and cross-functional teams.
Familiarity with multilateral organizations, international development, or global policy contexts is a plus.
Commitment to the UN80 Initiative’s mission and to inclusive, non-discriminatory, and ethical data practices.

Work arrangement
Yes