Requirements

• Bachelor's degree in Statistics, Economics, Data Science, Public Health, or a related field. Possession of a post graduate qualification in M&E, Statistics, Data Science or related field will be added advantage
  
• 4+ years of experience in data management, program analytics, business intelligence, or applied research in a field-based setting. Candidates from a variety of backgrounds are welcome, including private sector
  
• Proficiency in statistical software (STATA, R, or similar) and experience building dashboards (Tableau, Power BI, or similar)
  
• Experience building data systems or processes from scratch, not just maintaining existing ones
  
• Strong communication skills including ability to present technical findings to non-technical audiences
  

Data Collection Design and Quality: Design and oversee data collection processes that produce reliable field data across the Innovation team's device portfolio

• Supervise a data collection team that conducts spotchecks of data collected by field technicians
  
• Build and iterate on survey instruments and collection protocols tailored to each pilot's learning goals
  
• Train field technicians on data collection procedures and conduct regular quality checks
  

Data Systems and Dashboards: Build and maintain the data pipeline from field collection through to usable outputs

• Design and manage operational dashboards from the ground up tracking device performance, dosing consistency, visit frequency, and other pilot-specific indicators
  
• Own the data cleaning and transformation process, working with MLE teams where appropriate
  

Data-Driven Decision Support: Integrate data from dashboards you create into timely, actionable input for the team's weekly planning and pilot decisions

• Embed data into weekly workplanning by producing clear signals on which devices need attention, which pilots are on track, and where adjustments are needed
  
• Support creation of decision processes across the program that directly utilize and integrate data effectively
  
• Analyze emerging pilot results and present findings to the team lead and field staff in accessible, non-technical terms