Health Analytics Officer

Khushi Baby has entered into a Memorandum of Understanding (MoU) with the District Administration of Nandurbar, Maharashtra , to collaboratively strengthen public health and nutrition systems in one of the state’s most underserved tribal and Aspirational Districts identified by NITI Aayog. This partnership focuses on addressing persistent challenges such as high rates of malnutrition, maternal and child health mortality and poor outcome, endemic diseases, and climate-related vulnerabilities through digital health innovations, advanced analytics, and data-driven governance .

The Health Analytics Officer will be a key member of the Health and Action Centre (HAC) to be established in the district. The Officer will play a pivotal role in transforming diverse public health and nutrition data streams into actionable insights that directly inform program planning, review meetings, and strategic decision-making by district authorities. The role involves advanced data analysis, dashboard development, interdepartmental data integration, and capacity building of government stakeholders to strengthen a data-for-action culture in public health governance.

Key Responsibilities

1. Data Analysis & Insight Generation

• Collate, clean, and analyze data from multiple health and nutrition sources (e.g., HMIS, RCH Portal, Poshan Tracker, SNCU Portal, NRC reports, e-SUCHI, e-Aushadhi, Nikshay, NFHS, Census).
• Identify trends, gaps, and priority intervention areas across public health programs including RMNCH+A, NCDs, TB, immunization, family planning, and nutrition.
• Prepare targeted insight briefs, visualizations, and reports for use by district, block, and sector-level officials.

2. Data Visualization & temporary Dashboard Development

• Design and maintain interactive, user-friendly dashboards for monitoring program performance.
• Integrate AI-enabled or automated analytics features for real-time decision support.
• Ensure alignment of data visualization outputs with district and state-level reporting requirements.

3. Program Monitoring & Review Support

• Support the planning and facilitation of evidence-based review meetings at district and block levels.
• Develop data-for-action templates and tools to standardize performance tracking.
• Monitor, track and provide insights for all the interventions implemented by the Khushi Baby team in the district
• Recommend corrective actions and track follow-up progress.

4. Capacity Building & Technical Support

• Conduct training sessions for government officials and frontline staff on data interpretation, indicator definitions, and digital tools.
• Provide ongoing mentoring to program managers and internal KBA teams on monitoring and evaluation best practices.

5. Data Quality & Integration

• Develop the data quality matrix and identify the data quality issues across different health data required for the project
• Collaborate with technical teams to automate the required reports 
• Lead data quality assessments and recommend corrective strategies for improving completeness, accuracy, and timeliness of data.

• Master’s degree in Public Health, Health Management, Biostatistics, Epidemiology, Demography, or related field.
• Minimum 4-5 years of experience in public health data analysis, preferably in government-linked programs.
• Strong understanding of Indian public health data systems and their operational use.
• Strong Proficiency in at least one analytical and visualization tool (Excel, Power BI, R, Python, Stata, or similar).
• Ability and prior experience of working on big data sets
• Experience developing dashboards and interpreting complex datasets for non-technical audiences.
• Strong written and verbal communication skills.
• Fluency in English; working knowledge of Marathi is highly desirable.

• Experience working in tribal or aspirational districts.
• Familiarity with district-level health governance and public health programs in Maharashtra.

Remuneration 

The remuneration offered will be up to 15 LPA, commensurate with the candidate’s experience and skill sets.