Data Evaluation Manager

Responsibilities

• Data Evaluation and Analysis
  • Develop and implement data evaluation frameworks and methodologies to assess MCH programs and impact.
  • Analyze, plan and coordinate quantitative and qualitative data to measure program outcomes and impact.
  • Use advanced statistical techniques to interpret data and generate actional insights.
• Data Management
  • Oversee the collection, storage, and management of large datasets, ensuring data quality and integrity.
  • Develop and maintain robust data systems and databases, including data cleaning, validation, and documentation processes.
  • Implement data governance standards to ensure compliance with ethical and regulatory requirements.
• Reporting and Dissemination
  • Prepare detailed evaluation reports, dashboards, and presentations for internal and external stakeholders.
  • Communicate findings to program teams, leadership, and community partners clearly and actionable.
  • Collaborate with communications team to disseminate evaluation results through publications, webinars, and conferences.
• Program Improvement
  • Provide data-driven recommendations to enhance the effectiveness and efficiency of MCH programs.
  • Work across teams to integrate evaluation findings into program design and implementation.
  • Monitor and track the implementation of recommendations and their impact on program outcomes.
• Stakeholder Engagement
  • Engage with community organizations, healthcare providers, and policymakers to align evaluation efforts with community needs and priorities.
  • Participate in collaborative projects and data-sharing initiatives with external partners.
  • Represent the organization at meetings, conferences, and workshops focused on data evaluation and MCH.

Skillset

• Master’s degree in Public Health, Statistics, Epidemiology, Social Sciences, or a related field.
• At least 2 years of experience in monitoring and evaluation, with a focus on public health programs.
• Demonstrated experience in quantitative data analysis and the use of statistical software (e.g., SAS, R, Power BI).
• Excellent written and verbal communication skills, with the ability to prepare detailed reports and present findings to diverse audiences.
• Strong interpersonal skills for effective collaboration with stakeholders, including government agencies, donors, and community partners.