Monitoring, Evaluation, and Learning (MEL) Officer at PATH

Responsibilities:

• Lead the development of the project’s results framework in Kenya. Identify and design project indicators and support target setting for each indicator.
• Manage the development and implementation of a robust MEL system across all project sites, including data management and data quality assurance activities.
• Develop reporting templates that facilitate the acquisition and aggregation of information.
• Manage and participate in data collection processes and subsequent data management and analysis.
• Acquire and analyze routine county, sub-county, and facility level data from various sources for analysis, recording, and dissemination.
• Update project dashboards, present information routinely to internal PATH team, and package project data in a format that can be shared externally.
• Support documentation of project results and report writing.
• Collaborate with team members, government officials, and partner organizations in work planning and program implementation.
• Contribute to the development and implementation of a strategy for synthesizing and disseminating key results, programmatic lessons learned, methodologies developed and other research outputs of the program.
• Support any dedicated research activities—e.g., protocol and tool development, putting together institutional review board applications, and data analysis.
• Support project field staff to support strengthening of their overall MEL capacity
• Work closely with Siaya County officials to strengthen county M&E systems and staff to build overall capacity – with emphasis on improving data collection, management and analysis of incoming ECD related indicators.
• Coordination with partners included in the county-wide nurturing care consortium to ensure alignment on measurement activities across the implementing partners.
• Share project data, best practices, and lessons learned with ECD team colleagues in Mozambique, Zambia, and the USA.

Required Experience

• A three-year Degree/Diploma in public health, epidemiology, statistics, social sciences, or related field areas is required, with some postgraduate training in M&E and/or certification, a Master’s degree in is an advantage, but not required.
• A minimum of five or more years of relevant experience is required, with at least two years of experience in: monitoring and evaluation of complex health and development programs and data processing and analysis. 
• Some experience with data collection and management of research studies is preferred. 
• Experience working within the Kenyan health system is necessary. 
• Demonstrated ability and skills in developing indicators, creating and maintaining databases, data analysis and synthesis, and report writing.
• Knowledge of health-related indicators and/or prior MEL experience on a health project is a must.
• Proven ability to collaborate and work effectively with colleagues, donors, nurses and other service providers, and government at all levels.
• Proficiency in Microsoft Office suite including Word, Excel, Access, PowerPoint, and SharePoint.
• Experience using a statistical software package (SPSS, EPI-INFO, STATA, SAS, R or similar), while not required, is an advantage.
• Interest in learning to use new tools—e.g., data visualization tools such as Tableau).
• Experience dealing with the challenges of keeping large quantities of data from various sources well-organized.
• Strong critical analysis and report writing skills.
• Excellent oral and written communications and presentation skills.
• Strong time management skills, attention to detail, and ability to prioritize competing tasks.
• Proven ability to work in a dynamic team environment with minimal supervision, anticipating needs and requests.
• Written and oral proficiency in English.
• Ability to communicate in Dholuo is an added advantage.
• Demonstrated capacity to provide MEL support for large, complex donor-funded projects that involved collection and analysis of large amounts of data from facility- and community-based health programming.