Location: Karnataka (preferably Bangalore, with inter-district and inter-state travel to project locations)
Qualifications and Skills
- A PhD in Public Health, Epidemiology, Data Science, Statistics, Social Sciences, or a related field relevant experience; or
- A Masters in similar fields, with a minimum of 1 year of relevant experience. Candidates with full-time/part-time/internship experience in research will be considered favourably.
- Demonstrated experience in reporting program indicators aligned with MEL frameworks of the organisation.
- Skilled in executing quasi-experimental and/or experimental impact evaluation study designs, along with hands-on experience in data collection, field monitoring, and ensuring data quality.
- Experience in data and statistical analysis, data cleaning, visualization and presentation, working with large-scale datasets, including both primary and secondary datasets.
- Strong analytical, modelling and data visualization skills for both quantitative and qualitative data; proficiency in tools such as Excel, Power BI, STATA, R, or Python.
- Ability to interpret dashboard analytics and produce outputs and insights for internal and external audiences for impact numbers.
- Experience in developing research publications/reports, documentation, interpreting and synthesizing quantitative and qualitative research results.
- Experience working with digital health or with development partners is a strong asset.
- Willingness and ability to travel frequently to field sites.
Roles & Responsibilities:
- Support the implementation of the MEL framework for Khushi Baby's programs, including Family Planning, RMNCH, TB, NCD and Malnutrition initiatives, in collaboration with program and technical teams.
- Co-create data collection tools, evaluation indicators, and reporting formats to align with program needs and objectives.
- Manage collection of primary data, including designing quantitative survey instruments, qualitative assessments etc.
- Identifying and analysing secondary datasets for the purpose of integration into Khushi Baby's MEL framework.
- Assist in conducting regular data quality assessments to ensure accuracy, consistency, and reliability of data across pilot and scale-up districts.
- Contribute to the generation of actionable insights through data visualization, dashboards, and analytical reports that support program improvements, internal learning and government engagement.
- Collaborate with district and state health teams to facilitate timely reporting and encourage effective use of data for decision-making.
- Help document learnings, success stories, and case studies to support internal learning and external communication efforts.
Remuneration
The remuneration offered will range between 8-9 LPA commensurate with the candidate's experience and skill sets. Other benefits include:
- Medical Insurance
- Paid sick leave, paid parental leave and menstrual leave
- Learning stipend policy
- A flexible, enabling environment workplace with the opportunity to grow into leadership roles.
- Opportunities to attend and actively participate in prestigious International conferences and workshops
Note: The candidate will be on a probationary period for the first 90 days of the contract
