Monitoring, Evaluation, Research, and Learning (MERL) Specialist
About the organization
Winrock International is a nonprofit organization that works with people in the United States and around the world to empower the disadvantaged, increase economic opportunity, and sustain natural resources. By linking local individuals and communities with new ideas and technology, Winrock is increasing long-term productivity, equity, and responsible resource management to benefit the poor and disadvantaged of the world.
The MERL Specialist will be responsible for managing the monitoring, evaluation and learning activities, including developing and implementing the MERL framework, performance indicators, MERL tools, and data quality assurance processes to ensure the timeliness and validity of data entry and analysis and its effective use for decision making and project learning. The MERL Specialist will oversee and coordinate the MERL will also strengthen the capacity of project staff and partners to manage data and capture learning.
The MERL Specialist will oversee the project’s MERL activities and data reporting requirements. S/he will also serve as the liaison and point of contact with researchers and evaluators. external evaluation contractors.
Specific responsibilities include but are not limited to:
- Oversee all aspects of the performance measurement for the project, including day-to-day systems and processes, data tracking, reporting on activities, and data quality assurance.
- Draft and revise the project MERL plan and key performance indicators, including detailed indicator definitions and activity tracking tables
- Develop data collection tools and procedures, oversee the project database and reporting to funder
- Collaborate with Chief of Party, other staff, and project partners on data collection, analysis, and ensure data is collected in a timely manner
- Participate in project monitoring through site visits, review of partner reports, and analysis of data
- Lead data quality controls and verification procedures
- Ensure collection of data related to gender and social inclusion
- Foster a results-oriented and learning culture throughout the project to ensure that data and learning are used by the project team to improve performance
- Manage the MERL budget efficiently
- Significantly contribute to quarterly performance reports
- Guide and support staff and consultants in M&E-related areas
Bachelor’s degree in economics, international relations, social science, or related field. Degree in statistics and or related specialized training preferred.
- A minimum of seven (5) years’ experience managing monitoring and evaluation, preferably in counter-trafficking, migration, or related field
- Demonstrated experience in indicator selection and monitoring, and data collection/analysis
- Database management experience
- Proven skills in building capacities of staff and local organizations in MER
- Demonstrated experience with quantitative and qualitative research methodologies
- Strong skills in developing and utilizing results frameworks, logical frameworks, or similar tools for project design, monitoring and evaluation
- Knowledge of international donor, particular, USAID, reporting requirements, including experience designing and implementing Monitoring and Evaluation Plans desirable
- Must be professionally proficient and fluent in written and spoken English and Vietnamese
- Proficiency in word processing, spreadsheet (preferably Microsoft Excel), and presentation software (Microsoft PowerPoint)
- Proficiency in statistical applications (SPSS, SAS or STATA) or proven proficiency with open source big data analytics tools strongly desired
Equal Opportunity Employment
The posting employer has certified that this announcement complies with Peace Corps’ Equal Opportunity Employment policy:
The Peace Corps is committed to providing equal opportunity to all employees, Volunteers, and applicants for employment and volunteer service. Peace Corps policy prohibits discrimination and harassment because of race, color, religion, sex, national origin, age (40 or over), disability, sexual orientation, gender identity, gender expression, marital status, parental status, political affiliation, union membership, genetic information, or history of participation in the Equal Employment Opportunity process, grievance procedure, or any authorized complaint procedure.
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