Analyst- Surveillance Intelligencenew

Overview

WJCF is an Indian non-profit organisation committed to saving lives by reducing the burden of disease and strengthening government-owned, high-quality health systems. Since 2007, WJCF has combined data-driven approaches and deep public health expertise with strong government partnerships to design, implement, and scale solutions across India’s national and state health programmes. We work for and at the service of governments — supporting the Ministry of Health & Family Welfare and State Departments of Health to build systems that are strong, sustainable, and led by Indian institutions.

 

As an Indian organisation, WJCF brings an unmatched depth of contextual understanding of India’s health system architecture, policy landscape, and implementation realities across diverse geographies and population groups. This local institutional credibility, combined with global technical rigour, is central to WJCF’s effectiveness as a partner to governments and donors.

 

Our work is built around four complementary roles: as a Trusted Government Partner, co-designing programmes and strengthening health system architecture; as an Operational Partner, translating strategies into effective on-the-ground delivery; as a Market Shaper, improving the availability and affordability of health commodities; and as an Ecosystem Catalyst, convening governments, development partners, academia, and the private sector to drive solutions at scale.

 

WJCF’s programme portfolio spans thematic areas like hepatitis, HIV/AIDS, tuberculosis, vector-borne diseases), syphilis, cervical cancer, diabetes, maternal and childhood anaemia, immunisation, under-5 diarrhoea and pneumonia, sexual and reproductive health, Ayushman Bharat Pradhan Mantri – Jan Arogya Yojana (AB PM-JAY), Ayushman Bharat Digital Mission (ABDM), hypoxemia and oxygen, safe drinking water, sickle cell disease, presbyopia, lead poisoning, and cross cutting thematic areas like AI and Health, integrated disease surveillance, and climate and health.

 

We currently support programmes across 19 states and union territories, with teams working at national, state, district, and sub-district levels.

 

Our people are our greatest asset. WJCF brings together a talented, diverse team of professionals from public health, analytics, consulting, healthcare, the development sector, and academia, all united by a shared commitment to improving health outcomes for the people of India. We are entrepreneurial, action-oriented, and deeply grounded in the communities and systems we work in. Our field teams collectively bring hundreds of years of experience managing public health programmes across the country.

 

WJCF collaborates with a range of international and domestic partners and donors to advance its mission, including an affiliation with the Clinton Health Access Initiative (CHAI), a global health organisation with which WJCF shares a common mission and values.

 

Program Overview

The World Health Organization estimated that 10.6 million people fell ill with tuberculosis (TB) in 2022 and ~1.3 million succumbed to it. India accounted for the most people suffering from the disease, with 27% of the cases and 26% of mortality. The National TB Elimination Program (NTEP), headed by the Central TB Division (CTD), MoHFW, is an expansive public health program with the ambitious goal of eliminating TB in line with the mandate of the Sustainable Development Goals.

 

WJCF has been supporting the CTD and state health departments of more than 15 states in the mission to eliminate TB. WJCF’s TB program has been operational since 2012, and its interventions address several program areas, including preventive therapies, case detection, access to diagnostics, engagement of the private sector, and more. It also lends technical support to Governments across a range of themes- strategic planning, data analytics, monitoring and evaluation, patient management and delivery of services.

 

WJCF’s current portfolio of work spans support includes an evaluation of the TB drugs demand and supply dynamics, a landscape assessment for the next generation of diagnostic methods, a high-powered multi-disciplinary team translating programmatic information into action, and multiple large-scale interventions to determine the best methods for detecting hidden TB in the community.

 

Project Background India’s rapidly urbanising cities — home to over 500 million people and growing — face a recurring burden of vector-borne and water-borne diseases, with dengue, malaria, cholera, and typhoid remaining endemic in informal settlements where drainage, waste management, and water supply remain inadequate. Indian cities exemplify these pressures, with seasonal disease surges recurring each year across wards and peri-urban areas.

Despite sustained investment in surveillance infrastructure through the Integrated Disease Surveillance Programme (IDSP), the Integrated Health Information Platform (IHIP), and the Metropolitan Surveillance Unit (MSU) network, a persistent gap remains between data collection and public health action. Peri-urban settlements straddling municipal and district boundaries frequently fall outside the active surveillance catchment of both, and when outbreaks emerge, response teams act without a shared, evidence-based picture of where risk is concentrated.

 

To address this, WJCF is implementing a 10-month Health Commitment Grant titled "Strengthening the Urban Ecosystem Against Future Disease Threats" under the Tuberculosis Implementation Framework Agreement (TIFA), funded by JSI Research and Training Institute and anchored by the National Centre for Disease Control (NCDC), across five high-risk cities including Ahmedabad. The project converts fragmented environmental, epidemiological, and administrative data into spatially indexed intelligence that ward officers, MSU epidemiologists, and District Surveillance Unit (DSU) teams can directly act on.

In Ahmedabad, across three priority wards, this means a Ward-Level Risk Atlas, an early warning dashboard connecting surveillance data systems with laboratory and supply chain data, targeted upskilling with measurable impact on reporting compliance, and commodity gap mapping against the 72-hour outbreak response minimum, all submitted to the Ahmedabad Municipal Corporation (AMC) and NCDC as a Surveillance-to-Action blueprint designed for replication.

 

Position SummaryThe Analyst- Surveillance Intelligence serves as the evidence backbone of the Ahmedabad project team, ensuring that decisions made by the team and its government counterparts at the Ahmedabad Municipal Corporation, the Metropolitan Surveillance Unit, and the District Surveillance Unit are grounded in clean, spatially indexed, and visually legible data.

The role owns the full data lifecycle underpinning the project's primary deliverable. This spans designing field data collection tools and overseeing enumerator data quality, integrating secondary data sources, conducting spatial analysis, and producing the Ward-Level Risk Atlas and early warning dashboard. Beyond mapping, the Analyst leads the surveillance reporting compliance review — the before-and-after analysis that measures whether upskilling translated into improved reporting behaviour — and the stockpile gap assessment that maps commodity availability against the 72-hour outbreak response minimum.

 

The role calls for someone equally fluent in spatial analysis tools and structured data environments, who recognises that a map serves its purpose only when a ward officer can read it and act on it, and who takes personal accountability for the accuracy and timeliness of every data product placed before a government counterpart. The Analyst reports to the Program Manager and collaborates closely with the Ward Surveillance officer on field data quality.

Responsibilities

Ward-Level Risk AtlasThe project's primary deliverable, key decision-ready maps per ward that AMC will formally adopt for surveillance planning.

• • Compile secondary datasets of available disease notification records (IHIP notifications, AMC ward boundaries, waterlogging extents, drainage layers, facility lists) into a consolidated spatial database before field work begins.
  • Design and pilot ODK forms for three enumerator streams; own data quality throughout the survey period.
  • Coordinate with the third-party drone survey vendor on coverage specifications; validate aerial imagery outputs against field records and produce the satellite and drone-verified dataset with a verification report.
  • Review ward video survey footage to extract and geo-tag observable environmental risk indicators, integrating findings into the Risk Atlas spatial database.
  • Apply the risk scoring framework to produce finalised maps per ward covering overall risk, waterborne risk, vector-borne risk, surveillance gaps, and facility network coverage.
  • Identify and demarcate peri-urban grey zones with jurisdiction assignment recommendations for the City Action Plan.

Surveillance reporting compliance reviewThe project's primary evidence of impact, demonstrating whether upskilling translated into measurable change in surveillance reporting behaviour.

• • Extract baseline surveillance reporting data by facility and disease category across the three intervention wards before upskilling begins.
  • Design the compliance tracking framework, metrics, measurement window, and comparison template.
  • Produce the before/after analytical output by facility, disease category, and ward; flag data quality anomalies; and contribute findings directly to the TIFA milestone report.

Stockpile Gap AssessmentTranslating supply chain data into a spatial picture of whether commodities can reach the right ward within 72 hours of an outbreak alert.

• • Map availability of ORS, water test kits, Dengue NS1 Rapid Diagnostic Tests, and Malaria Rapid Diagnostic Tests at all storage nodes against the 72-hour response minimum.
  • Produce the Ward Supply Gap Assessment with spatial visualisation of which wards are within and outside acceptable response windows.
  • Build the inventory tracking template with automated sufficiency flags, expiry tracking, monthly reporting format for AMC to operate independently after project close.

Early Warning DashboardA single, colour-coded interface that tells a ward officer or MSU epidemiologist what is happening, where, and what to do next.

• • Build and maintain the dashboard integrating available disease notification trends, environmental trigger status, laboratory turnaround times, and stockpile sufficiency by ward.
  • Develop ward-level drill-down views for the Smart City SCADL Integrated Command and Control Centre in coordination with the SCADL GIS team.
  • Accompany every output with a plain-language interpretation note stating what the data shows, what the decision trigger is, and who needs to act.

Data Systems & Quality Assurance The Analyst sets the data quality standard; the Ward Surveillance officer manages the field.

• • Prepare the data collection protocol, source inventory, methodology per layer, ODK specifications, and deployment plan.
  • Geo-reference community sentinel reports from the rumour surveillance network into the spatial monitoring system.
  • Maintain the master spatial database and data dictionary throughout the project; package the complete GIS project file for handover to AMC at close.

Knowledge Products & Reporting

• • Contribute spatial inputs to City Action Plan annexes, drill scenario design, and the final Surveillance-to-Action blueprint for NCDC, including a replication guide for other cities.
  • Prepare one spatial analysis brief per quarter covering risk patterns, data quality trends, and dashboard performance.
  • Provide verified spatial KPI data to the Senior Monitoring and Evaluation Associate for TIFA milestone evidence packages.

Qualifications

Required

• Bachelor's degree in geography, geoinformatics, environmental science, public health, statistics, or a related field; a postgraduate qualification in GIS or public health is an advantage.
• 2–4 years of hands-on experience in spatial data work or health data analytics, with a portfolio of maps, risk visualisations, or dashboards produced for real programme or government decisions.
• Proficiency in QGIS or ArcGIS for spatial analysis and map production, and working knowledge of at least one scripting environment — Python (GeoPandas, Folium) or R (sf, tmap) — for data processing and automation.
• Strong MS Excel skills for data cleaning, structured analysis, and reporting tools; experience managing and integrating heterogeneous data sources (shapefiles, health records, field survey outputs, environmental datasets) into a unified spatial database.
• Demonstrated ability to translate spatial analysis into outputs that non-GIS audiences — ward officers, health officials, programme managers — can read and act on without methodological explanation.
• Willingness to spend approximately 40% of time on field across three Ahmedabad wards during the survey phase for ground-truthing and data quality assurance.
• Fluency in English and Gujarati or Hindi.

 

Preferred

• Familiarity with government health data systems such as IHIP, HMIS, or IDSP and an understanding of how disease notification data flows through the surveillance architecture
• Experience designing mobile data collection forms on SurveyCTO, ODK, or KoBoCollect.
• Familiarity with spatial statistical methods, kernel density estimation, hotspot analysis, spatial autocorrelation, applied in a public health or environmental risk context.
• Experience with web mapping or dashboard platforms such as ArcGIS Online, Power BI with spatial layers, or Mapbox.
• Familiarity with AMC administrative geography, ward structure, or Smart City SCADL data infrastructure.
• Working knowledge of AI productivity tools such as Claude, ChatGPT, or Microsoft Copilot for accelerating data synthesis, analytical write-ups, or report drafting.

Core competencies

• Spatial Problem-Solving: Frames public health challenges as spatial questions; knows which datasets to overlay to answer a decision-relevant question.
• Output Clarity: Designs every map and dashboard for the end user — a ward officer should act on it without asking what it means.
• Data Ownership: Catches errors before they reach a government counterpart; builds systems others can audit and reproduce.
• Field Pragmatism: Comfortable in the wards during survey phase; trusts ground observation over secondary data for informal settlement mapping.
• Vendor Coordination: Briefs and manages third-party technical agencies on coverage requirements and holds them to output standards.
• Initiative: Flags data gaps and anomalies early; proposes resolutions without waiting for direction.

 

Last Date to Apply: 29 July, 2026