Position Summary

The Analyst/Senior Analyst will own the technical and operational backbone of the programme s ME system. This is a hands-on, deeply technical role requiring comfort with data systems, survey tool design, dashboard development, and rigorous monitoring protocols, combined with strong communication skills to guide state-level analysts and engage government and donor stakeholders. The role reports to the National ME Manager.

Responsibilities

Monitoring System Design Implementation:

- Lead the design and operationalisation of the programme ME framework, including coverage estimation approaches that combine population-level secondary data with programme-reported figures to construct modelled indicators
- Design and maintain a structured monthly validation protocol: define the sample frame from government programme registers, develop a reproducible random sampling methodology with a fixed seed, and create assignment workflows that allocate sampled households across calling agents and field staff for ground-level verification
- Build concordance frameworks to systematically compare programme-reported data against validation findings, and translate discordance patterns into actionable programme signals
- Build and maintain programme monitoring databases; conduct regular data cleaning, structuring, and quality checks on government programme data which is often incomplete, inconsistently formatted, or structured for administrative rather than analytical purposes
- Prepare periodic indicator reports, track progress against key coverage targets, and proactively flag data quality issues with recommended corrective actions

Tool Dashboard Development:

- Design and build digital data collection tools including structured survey instruments for field staff and calling agents, using platforms such as Survey Cto,



KoboToolbox, ODK, or equivalent, ensuring tools are optimised for low-connectivity field environments
- Develop and maintain online monitoring dashboards to enable real-time tracking of programme indicators at district and state level, with drill-down views for programme management and summary views for donor reporting
- Leverage AI-assisted and low-code tools (such as Claude Code or similar) to build and iterate on data pipelines and analytical workflows, particularly for processing and reshaping messy or non-standard data exports
- Develop the full suite of programme-specific monitoring tools from scratch: validation instruments, supervisory checklists, field activity planners, and coverage outcome trackers

Analysis Reporting:

- Conduct pre-intervention coverage estimation across all programme districts by extracting, cleaning, and analysing data from government programme registers, and applying modelling parameters derived from national survey data and prior programme evidence
- Manage parameter comparison analyses once validation data matures, assess whether validated field estimates differ significantly from modelled assumptions, and support decisions on parameter updates applied consistently across time periods for comparability
- Design and run sensitivity analyses to assess the impact of parameter changes on coverage estimates,



and clearly communicate findings and their implications to technical and non-technical audiences
- Synthesise programme results and disseminate key learnings through presentations, reports, and briefs for diverse audiences including donors, government partners, and internal teams

Capacity Building Stakeholder Engagement:

- Guide and mentor state-level analysts on ME tools, data interpretation, sampling protocols, and data quality management, translating complex methodological decisions into practical guidance for field teams
- Conduct periodic field visits to assess data collection quality, verify completeness of records, and troubleshoot implementation challenges on the ground
- Liaise with government programme data system owners to support improvements in data reporting quality and completeness over the course of programme implementation
- Support research design and evaluation activities including study protocols, ethics applications, and SOPs for quantitative and qualitative studies where relevant

Qualifications

- Bachelor's or Masters degree in Science, Engineering, Statistics, Public Health, or a related field
- At least 2 years of relevant work experience in data analytics, ME, research, or a related technical role
- Strong quantitative skills: ability to structure, clean, and analyse messy or incomplete datasets, work with coverage formulas and denominators, and interpret results in context
- Proficiency in Microsoft Excel and PowerPoint; ability to build structured analytical models and transparent visualisations

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Analyst, Monitoring, Evaluation & Data Systems, TB (Delhi)
🏢 Clinton Health Access Initiative (CHAI)
📍 Delhi