M&E Associate (Quantitative Research & Internal monitoring)

1. →Index Development: Support design and development of socio-economic indices using unit-level datasets.
2. →Impact Estimation: Statistical impact assessment using statistical software such as R or Stata, including Randomized Controlled Trials (RCT) or quasi-experimental methods.
3. →Sample Size Estimation: Calculate and validate appropriate sample sizes for surveys and impact assessments.
4. →Survey Tool Development: Design survey tools tailored for social and development sector projects.
5. →Data Handling: Experience extracting and work with development sector datasets (NFHS, PLFS, etc.), or demonstrate a strong desire to learn and apply these data sources.
6. →Data Validation: Validate and triangulate survey data using robust methodologies.
7. →Mixed Methods: Combine qualitative and quantitative research approaches to ensure comprehensive analysis.
8. →Publications (Preferred): Candidates with prior publications will be given preference.

1. Stakeholder Collaboration: Work closely with cross-functional teams to co-develop Key Performance Indicators (KPIs) at the input, activity, and output levels for various projects.
2. Data Management: Consolidate disparate datasets using Excel (pivots, VLOOKUPs) and other tools to ensure seamless data integration and basic visualization. 
3. Development Sector Understanding: Demonstrate an understanding of the broader development and social sector landscape, with a specific interest in poverty-related issues.
4. Technical Skills: Familiarity with SQL, strong Excel skills, and basic knowledge of Natural Language Processing (NLP) are desirable.

• Analyst: Bachelor’s degree in Computer Science, Data Science, or related fields with at least 1 year of relevant full time work experience. 
• Associate: Master’s degree in Economics, Public Policy, Development Studies, Social Sciences, or related fields with at least 1 year of work experience. 
• Specialist: Master’s degree in Economics, Public Policy, Development Studies, Social Sciences, or related fields with a 3 or more  years of work experience. 
• Prior experience working with unit-level datasets such as NFHS, PLFS, or similar.
• Previous experience in Monitoring and Evaluation, designing KPIs, impact estimation, and monitoring frameworks in development projects is preferred. 
• Publication in relevant academic or policy journals is a strong advantage.

Karya is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity and disability. 

Karya invites all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search to apply for a career opportunity, reach out at hr@karya.in.