SDG Research & Data Fellow
Organizational Context
The United Nations Development Programme (UNDP) is the UN's lead agency for international development, working in 170 countries to eradicate poverty and reduce inequality. In India, UNDP supports the national and subnational governments in achieving the Sustainable Development Goals (SDGs) through policy advisory, planning, and data-driven decision-making. A key focus is on accelerating SDG achievement and supporting the socio-economic advancement of tribal communities, ensuring no one is left behind.
Job Purpose
The SDG Research & Data Fellow will support UNDP's SDG Acceleration and Finance Unit and State-level teams in India. The role involves conducting research, analyzing data, and producing knowledge products to inform policy and programming. The Fellow will contribute to initiatives focused on SDG acceleration, tribal rights, and development financing. This position offers an opportunity to gain practical experience in data analysis, policy support, and report writing within the development sector, contributing to inclusive and sustainable development at the state level.
Responsibilities
The UN Volunteer will support the SDG Acceleration and Finance Unit by conducting desk research, literature reviews, and policy scans to generate evidence for SDG-related initiatives. Responsibilities include collecting, validating, and analyzing SDG and Tribal Development data, integrating citizen-generated and official statistics to address data gaps. The Fellow will assist in developing knowledge products and communication materials, such as presentations, briefing notes, case studies, and success stories. Additionally, the role involves collaborating with UNDP and State teams to document emerging insights, innovative practices, and evidence to inform SDG acceleration, tribal development planning, and policy discussions.
Work Experience
No prior experience is required. However, a demonstrated interest in the development sector is essential. The role requires excellent oral and written communication skills, strong drafting and reporting abilities, and interpersonal skills for inclusive collaboration. Self-motivation and the ability to work independently under tight deadlines are also important.
Skills
Key competencies include Accountability, Adaptability, Flexibility, Building Trust, Commitment, Motivation, Continuous Learning, Communication, Creativity, Ethics, Values, Integrity, Planning, Organizing, Professionalism, Respect for Diversity, Self-Management, and Teamwork. Technical skills in Data Science, Information Management, Artificial Intelligence, Knowledge Management, Research, Reporting, Statistics, and Population Science are desirable.