Outline India
Website:
outlineindia.com
Job details:
About Outline India
Outline India is a data‑driven research and decision‑intelligence firm that collects rural intelligence and ground‑level insights to drive measurable social impact. We specialize in primary data collection, monitoring and evaluation, and impact assessments across health, livelihoods, fintech, agriculture, governance, and more, partnering with governments, corporates, impact funds, foundations, and global institutions.
Role: Quantitative Lead
As a Quantitative Lead, you will lead the quantitative component of research, monitoring & evaluation, and impact assessment projects from research design through field implementation, data analysis, and final reporting.
Key Responsibilities
I. Quantitative Research & Data Management
- Lead quantitative components of impact assessments, M&E studies, and primary research projects.
- Design research methodologies, sampling approaches, questionnaires, and quantitative analysis plans.
- Build and deploy survey tools using SurveyCTO, Kobo, or other CAPI platforms, including designing and testing XLSForms.
- Manage, clean, label, validate, and analyse large and complex survey datasets using STATA.
- Establish and monitor data quality protocols across the full research pipeline.
- Translate quantitative findings into clear insights for reports, presentations, and client deliverables.
II. Field, Project & Client Management
- Lead project delivery, timelines, build field budgets, and field coordination across studies.
- Review client instruments and support translation and localisation.
- Oversee enumerator training, field monitoring, and data quality
- Coordinate with field and research teams to resolve operational challenges
- Contribute to proposals, client discussions, and presentations.
III. Mentor junior researchers and ensure quality, timely project delivery.
Qualifications
- 7+ years in quantitative research (development, policy, or social sectors preferred).
- Strong command over STATA (cleaning, analysis, reporting)
- Good to have: Experience with Python/R, randomized evaluations, advanced statistical/econometric methods, and experience contributing to research proposals and technical bids.
- Good Excel skills are an advantage, preferrably advance excel.
Click on Apply to know more.
