Fortify Health

Fortifies wheat flour with essential micronutrients

Data Officer

Data Management +1Updated on Nov 13

Full-timeRemote in India₹80.6k /moRemote

About the Job

Requirements

A bachelor's degree or higher in a relevant discipline such as Computer Science, Information Technology, Data Science, Statistics, Engineering, or a related field; candidates from other academic backgrounds with relevant technical skills and experience are also encouraged to apply.
At least 2 years of experience managing the end-to-end data lifecycle, from data collection and processing to analysis and reporting.
Strong proficiency in advanced SQL and spreadsheet tools such as Microsoft Excel or Google Sheets, including complex queries, formulas, data manipulation, and analysis.
Ability to translate requirements into structured tasks and deliver accurate, well-documented outputs within agreed timelines.
Ownership, attention to detail, and consistency in completing tasks and maintaining documentation.
Ability to plan and coordinate projects by defining actionable tasks, tracking timelines and milestones, and coordinating with relevant stakeholders to ensure timely delivery.
Ability to work effectively with cross-functional teams to understand requirements and develop practical data solutions.
Openness to feedback and willingness to support colleagues in using data tools and resolving data-related issues.
Ability to communicate technical issues, analytical findings, and progress clearly and concisely, verbally and in writing, in English.
Ability to document workflows, explain data limitations, and present insights in an accessible manner.
Structured and analytical thinking to investigate data discrepancies, identify root causes, and develop practical solutions.
Ability to break down complex problems, test potential solutions, and identify opportunities to improve data quality and process efficiency.
Curiosity and willingness to learn new tools, technologies, and analytical techniques through hands-on practice and feedback.
Openness to experimentation and continuous improvement, including exploring AI and automation while critically evaluating their accuracy and limitations.

Responsibilities

Develop, maintain, and improve digital data collection systems, automated data pipelines, and data transformation workflows using SurveyCTO, Google Sheets, Airbyte, BigQuery, and dbt.
Maintain data models, troubleshoot technical issues, and improve the reliability and cost-effectiveness of data infrastructure to ensure data availability, consistency, and usability across systems.
Develop data quality checks, automated validations, and monitoring mechanisms to identify discrepancies, investigate root causes, and support timely resolution of data issues.
Analyze program and operational data, develop dashboards and reports, and generate actionable insights for monitoring, reporting, and organizational decision-making.
Support data governance, security, access control, storage, backup, and documentation practices to promote responsible data management and compliance with organizational policies.
Identify opportunities to improve data systems and streamline manual processes through data audits, automation, AI, and other relevant technologies; test potential solutions and contribute to their implementation.
Collaborate with cross-functional teams to understand operational and research requirements and develop practical data solutions.
Provide technical support and guidance on data collection tools, reporting systems, and data interpretation, and support research and evaluation activities through data preparation, validation, and analysis.
Develop analytical approaches to identify potential stockouts, ageing premix batches, and discrepancies in stock reporting across partner mills, using historical stock, production, and premix consumption data to generate early warnings and support procurement and dispatch decisions.
Help prioritize and implement recommendations from the data systems audit to address gaps in data security, access controls, auditability, and data management practices, working with teams to establish reliable, secure, and sustainable data management processes.
Perform additional duties as the role evolves in discussion with the Senior Data Officer.

Desired Qualifications

Experience working with remote team members.
Experience working independently.
Experience working in an NGO or in the development sector.
Proficiency in both Hindi and English, written and spoken.
Enthusiasm about the opportunity to improve people’s lives.

About the role

Fortify Health believes in making data-driven decisions. In order to make these decisions, it is critical that we have high-quality data available to decision-makers. The Data Officer will play a critical role in ensuring an efficient data collection system, accurate data processing and transformation, and analysis of this data across the organisation. This role will work closely with cross-functional teams to gather requirements and design, implement, and maintain data systems that enable data-driven decision-making across the organization.

The Data Officer will report to Fortify Health’s Senior Data Officer.

The Data Officer will work closely with the Quality and Program teams to strengthen Fortify Health's data systems, improve data quality, and generate reliable insights to support program implementation and decision-making. The role will involve the following responsibilities:

Data Management and Infrastructure
- Develop, maintain, and improve digital data collection systems, automated data pipelines, and data transformation workflows using tools such as SurveyCTO, Google Sheets, Airbyte, BigQuery, and dbt.
- Ensure the availability, consistency, and usability of data across systems by maintaining data models, troubleshooting technical issues, and improving the reliability and cost-effectiveness of data infrastructure.
Data Quality, Analysis, and Reporting
- Develop data quality checks, automated validations, and monitoring mechanisms to identify discrepancies, investigate root causes, and support timely resolution of data issues.
- Analyze program and operational data, develop dashboards and reports, and generate actionable insights to support monitoring, reporting, and decision-making across the organization.
Data Governance and Process Improvement
- Support data governance, security, access control, storage, backup, and documentation practices to ensure responsible data management and compliance with organizational policies.
- Identify opportunities to improve data systems and streamline manual processes through data audits, automation, AI, and other relevant technologies; test potential solutions and contribute to their implementation.
Collaboration and Support
- Collaborate with cross-functional teams to understand operational and research requirements and develop practical data solutions.
- Provide technical support and guidance on data collection tools, reporting systems, and data interpretation, and support research and evaluation activities through data preparation, validation, and analysis.

Please note that this job description is a guide to the work you will initially be required to undertake, but does not cover all of the duties the post holder may have to perform. Responsibilities will evolve over time, in discussion with the Senior Data Officer.

If you were here right now, you would support with…

Premix Stock Intelligence and Predictive Monitoring
Taking FH's premix stock tracking initiative further by developing analytical approaches to identify potential stockouts, ageing premix batches, and discrepancies in stock reporting across partner mills. You would explore how historical stock, production, and premix consumption data can be used to generate early warnings and support more timely procurement and dispatch decisions.
Data Systems Audit and Improvement Roadmap
Building on FH's recent data systems audit, you would help prioritise and implement recommendations to address gaps in data security, access controls, auditability, and data management practices across our datasets. The project would involve working with different teams to strengthen existing systems and establish more reliable, secure, and sustainable data management processes.

Requirements

Expertise:
- Bachelor's degree or higher in any relevant discipline, such as Computer Science, Information Technology, Data Science, Statistics, Engineering, or a related field. Candidates from other academic backgrounds with relevant technical skills and experience are also encouraged to apply.
- 2+ years of experience managing the end-to-end data lifecycle, from data collection and processing to analysis and reporting.
- Strong proficiency in advanced SQL and spreadsheet tools (Microsoft Excel or Google Sheets), including complex queries, formulas, data manipulation, and analysis.
Execution:
- Able to translate requirements into structured tasks and deliver accurate, well-documented outputs within agreed timelines.
- Demonstrates ownership, attention to detail, and consistency in completing tasks and maintaining documentation.
- Able to plan and coordinate projects by defining actionable tasks, tracking timelines and milestones, and coordinating with relevant stakeholders to ensure timely delivery.
Collaboration:
- Able to work effectively with cross-functional teams to understand requirements and develop practical data solutions.
- Open to feedback and willing to support colleagues in using data tools and resolving data-related issues.
Communication:
- Communicates technical issues, analytical findings, and progress clearly and concisely, both verbally and in writing in English.
- Able to document workflows, explain data limitations, and present insights in an accessible manner
Problem-solving:
- Demonstrates structured and analytical thinking to investigate data discrepancies, identify root causes, and develop practical solutions.
- Able to break down complex problems, test potential solutions, and identify opportunities to improve data quality and process efficiency.
Growth Mindset:
- Demonstrates curiosity and a willingness to learn new tools, technologies, and analytical techniques through hands-on practice and feedback.
- Open to experimentation and continuous improvement, including exploring AI and automation while critically evaluating their accuracy and limitations.

Desirable attributes

Experience working with remote team members.
Experience working independently.
Experience working in an NGO or in the development sector.
Proficiency in both Hindi and English, written and spoken.
Enthusiasm about our opportunity to improve people’s lives.

About the Company

Fortify Health

Fortifies wheat flour with essential micronutrients

Fortify Health works to reduce micronutrient deficiencies by fortifying wheat flour with iron, folic acid, and vitamin B12. It collaborates with experts, millers, and government to implement flour fortification through guidelines, technical support, quality control, and policy alignment, making fortified flour safe and affordable. The approach focuses on large-scale, government-aligned programs that translate policy into real fortified flour. The goal is to improve population health, especially for women of reproductive age and children, by eliminating hidden hunger.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Australia
Founded: 2003

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