Data Officer

Key Responsibilities

1. 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.
2. 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.
3. 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.
4. 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.

• 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.

Skills, Knowledge and Expertise

• 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.

• 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.

Benefits

• Opportunities for career growth: 
  • Whether you’re early in your career or bringing years of experience, we offer opportunities to take on new responsibilities, build your skills, and grow into leadership roles. We support professional development through feedback, mentorship, and learning resources.
• Flexible work hours:
  • We understand that everyone works differently. Fortify Health offers flexible working hours to help you manage your time effectively and maintain a healthy work-life balance.
  • (This role also offers remote or hybrid work options, depending on the nature of work activities).
• Inclusive and supportive culture:
  • We foster a collaborative and respectful work environment where diverse perspectives are valued.
  • Our team is supportive and mission-driven, united by a shared commitment to improve public health through wheat fortification. 
• Meaningful, impact-driven work:
  • Your work at Fortify Health will directly contribute to improving nutrition and health for millions of people. We focus on high-impact, evidence-based solutions, and every team member plays a role in driving our mission forward.
• Transparent and structured systems:
  • We strive for clarity in how we work. From performance reviews to team communications, we use structured systems to ensure that expectations are clear, feedback is regular, and growth pathways are visible.
• Learning and Development:
  • Team members have access to resources for professional development, including training, workshops, and mentorship opportunities.
  • We actively support upskilling and cross-functional learning to help team members expand their capabilities.

Compensation

Rs80,555 / month

Employment type

Full Time