Data Officer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, maintain, and enhance digital data collection systems, automated data pipelines, and data transformation workflows.

• Utilize SurveyCTO, Google Sheets, Airbyte, BigQuery, and dbt to support the data infrastructure.

• Oversee data models and resolve technical issues.

• Enhance the reliability and cost-efficiency of data infrastructure.

• Create data quality checks, automated validations, and monitoring mechanisms.

• Detect discrepancies, investigate root causes, and facilitate the prompt resolution of data issues.

• Analyze program and operational data.

• Create dashboards and reports to generate actionable insights.

• Assist with data governance, security, access control, storage, backup, and documentation practices.

• Optimize data systems and streamline manual processes through data audits, automation, AI, and other technologies.

• Collaborate with cross-functional teams to understand operational and research needs and devise practical data solutions.

• Provide technical support and guidance on data collection tools, reporting systems, and data interpretation.

• Facilitate research and evaluation through data preparation, validation, and analysis.

• Develop analytical strategies to identify potential premix stockouts, aging batches, and discrepancies in stock reporting.

• Leverage historical stock, production, and premix consumption data to generate early warnings and support procurement and dispatch decisions.

• Assist in prioritizing and implementing recommendations from the data systems audit, addressing data security, access controls, auditability, and data management gaps.

• Report to the Senior Data Officer.

⛳️ Requirements

• A Bachelor's degree or higher in a relevant field such as Computer Science, Information Technology, Data Science, Statistics, Engineering, or a related discipline; candidates from other academic backgrounds who possess relevant technical skills and experience are also encouraged to apply.

• Over 2 years of experience managing the entire data lifecycle, from collection and processing to analysis and reporting.

• Strong expertise in advanced SQL and spreadsheet tools, including Microsoft Excel or Google Sheets.

• Proficient in complex queries, formulas, data manipulation, and analysis.

• Capability to translate requirements into organized tasks and deliver accurate, well-documented outputs within agreed-upon timelines.

• Demonstrated ownership, attention to detail, and consistency in completing tasks and maintaining documentation.

• Proficient in planning and coordinating projects by defining tasks, tracking timelines and milestones, and collaborating with stakeholders.

• Ability to work efficiently with cross-functional teams to comprehend requirements and develop practical data solutions.

• Strong communication skills to articulate technical issues, analytical findings, and progress clearly and concisely in English, both verbally and in writing.

• Competent in documenting workflows, explaining data limitations, and presenting insights in an accessible manner.

• Structured and analytical mindset to investigate data discrepancies, identify root causes, and formulate practical solutions.

• Ability to deconstruct complex problems, test potential solutions, and enhance data quality and process efficiency.

• Curiosity and eagerness to learn new tools, technologies, and analytical techniques.

• Openness to experimentation and continuous improvement, including exploring AI and automation while critically assessing accuracy and limitations.

• Experience collaborating with remote team members is a plus.

• Experience working independently is a plus.

• Experience in the NGO or development sector is a plus.

• Proficiency in both Hindi and English, written and spoken, is a plus.

🏝️ Benefits

• Opportunities for career advancement and leadership development.

• Professional growth through feedback, mentorship, and learning resources.

• Flexible working hours.

• Options for remote or hybrid work, depending on the nature of work activities.

• An inclusive and supportive culture.

• Meaningful, impact-driven work.

• Transparent and structured systems.

• Access to training and workshops.

• Opportunities for upskilling and cross-functional learning.