Pact is an international nonprofit that works in nearly 40 countries building solutions for human development that are evidence-based, data-driven and owned by the communities we serve. Founded in 1971, Pact works with partners to build resilience, improve accountability, and strengthen knowledge and skills for sustainable social impact.

Programs – Pact strives for a world where all people are heard, capable, and vibrant. The Programs Team helps realize this objective by bridging program management, technical support, and business development, enabling Pact to achieve its global strategy. We ensure program excellence through continuous learning, monitoring and evaluation and provide organizational and industry-wide thought leadership by leveraging a complementary set of cross-functional, multi-disciplinary skills, expertise, and experiences. The Programs team: influences progressive change through the development and implementation of global and regional strategies and business plans; supports advancement of innovative solutions; pursues new business opportunities; and drives effective internal and external engagement to maximize Pact’s impact across the globe. Across all aspects of its role, the Programs Department adheres to and promotes a culture of inclusion, accountability, and respect.

The Learning Evidence and Impact (LEAP) intern will focus on supporting projects various areas including but not limited to sexual and reproductive health and women’s economic empowerment. The intern will focus on supporting secondary data analysis for projects as well as documentation review for learning assessments. Further, the intern will also provide support to LEAP team members, as required/needed. The internship period is expected to be June – August 2023.

• Leading secondary quantitative data analysis using statistical analysis software (SPSS, R, STATA etc)
• Reviewing documentation for learning assessments on the use of complex MERL methodologies
• Providing project support to LEAP team members, as required

• Bachelor’s degree with 2+ years of relevant experience or equivalent combination of education and experience

• Experience working with teams in low resource settings
• Experience working with statistical analysis software such as R, STATA, SPSS, and/or other
• Experience leading research studies (e.g. IRB review, literature review, secondary data analysis)