Evidence Action

Non-profit + 1 more

Senior Associate, Innovation and Data Integration

Job details

Contract Type

Description

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
Responsibilities

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


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