In A Nutshell
Location
Hybrid Bengaluru or Delhi, India
Salary
₹18,00,000-₹21,00,000
Job Type
Full-time
Experience Level
Mid-level
Deadline to apply
August 21, 2025
Support the design and implementation of the MEL framework for Khushi Baby’s programs.
Responsibilities
- Co-create data collection tools, evaluation indicators, and reporting formats to align with program needs and objectives.
- 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.
- Supporting the national leads for MEL and Evidence and Impact in building and implementing a Learning Strategy for Khushi Baby.
- 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.
- Provide continuous MEL support across teams to promote data-driven strategies and adaptive program management.
Skillset
- A PhD/Masters in Public Health, Epidemiology, Data Science, Statistics, Social Sciences, or a related field with a minimum of 5 years of relevant experience.
- Demonstrated experience in managing and tracking program indicators aligned with MEL frameworks; preferably in digital health, public health, RMNCH and/or infectious diseases.
- Skilled in developing and implementing 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 developing organizational MEL frameworks, theory of change, logframes, and designing monitoring and reporting systems.
- Proven experience in authoring SoPs, analytical reports, and data dissemination materials.
- Strong analytical and data visualization skills for both quantitative and qualitative data; proficiency in tools such as Excel, Power BI, STATA, R, or Python.
- Experience in dashboard development and data visualization to support decision-making.
- Experienced in documentation, communication in English, and academic/non-academic reporting.
- Experience working with government health systems or development partners is a strong asset.
- Willingness and ability to travel frequently to field sites.