NGO Job Opening: Monitoring, Evaluation, Research, Learning and Adapting (MERLA) Specialist at Research Triangle Institute (RTI) International
Research Triangle Institute (RTI) International is an independent, non-profit organization dedicated to conducting innovative, multidisciplinary research that improves the human condition. With a worldwide staff of more than 5,000 people, RTI offers innovative research and development and multidisciplinary services.
We are recruiting to fill the position below:
Job Title: Monitoring, Evaluation, Research, Learning and Adapting (MERLA) Specialist
Job ID: 24-12575
Location: Abuja
Job type: Full-Time - Regular
Category: Project Management
Contract type: Fixed Term Appointment
Project Description
Act to End Neglected Tropical Diseases (NTD)| East (Act | East) is a 5-year program funded by the United States Agency for International Development (USAID) through which RTI supports and expands Neglected Tropical Disease (NTD) control and elimination in priority countries and will further the development of evidence-based policies and standards globally.
Position Description
Under the supervision of the Chief of Party (COP) in Nigeria, the MERLA Specialist will ensure quality data collection, analysis, and reporting in Nigeria under the USAID-funded Act to End NTDs | East program.
She/he will oversee the monitoring, evaluation, and reporting of program performance and results for country-led activities and assist in facilitating learning using those results.
This role requires regular program data analysis and identifying areas for additional support.
The MERLA Specialist will work closely with the COP, Implementation Manager, and RTI-HQ MERLA Staff to identify how results will be used for program improvement through programmatic adaptation implementation in Nigeria and ensuring consistency with the project priorities and outcomes as well as supporting the State Ministry of Health in implementing an integrated NTD strategy.
RTI International is always seeking to expand its portfolio. This position may be expected to support additional projects if awarded.
The successful candidate will have robust data analysis expertise, excellent data management skills, strong attention to detail, and comfort working with large amounts of data at the same time.
They will also be adept at utilizing data and other information for learning and adapting program activities for continual improvement.
This individual is expected to collaborate respectfully with multiple team members from diverse backgrounds including NGDO partners and Ministry of Health colleagues. Selected candidates will be invited to complete a timed MERLA test.
Responsibilities
Data collection, monitoring, and reporting:
Leads MERLA activities and ensure that all MERLA activities are implemented in accordance with approved work plan and budget.
Review data reported from specific program activities (e.g. surveys, mass drug administration, training) to ensure data accuracy and completeness.
During routine and ongoing data review, communicate any problems with data quality to the relevant program person to ensure accurate data collection and reporting.
Complete routine project reporting tools and forms according to the program schedule (work planning, two semi-annual reporting periods, and additional as needed), reviewing data with the COP, Implementation Manager, and HQ-based MERLA staff.
Provide accurate and timely responses to ad hoc data requests.
Support various field activities to ensure high quality data collection and reporting, identifying any challenges and providing on-the-spot solutions.
Survey development, implementation, and analysis:
Support the development of protocols and reports for disease-specific assessments, data analysis to inform action-oriented conclusions, and the application of learning in collaboration with the FMOH, SMOH, and HQ-based program staff.
Support the submission of survey outputs which include, but are not limited to, survey reports, raw survey data, and clean datasets.
Support the development of protocols and reports for data quality activities, including but not limited to data quality assessments, treatment coverage evaluation surveys, and supervisors’ coverage tools in collaboration with the FMOH, SMOH, and HQ-based program staff.
Support disease specific assessment outcome evaluations in collaboration with the FMOH, SMOH, and HQ-based program staff.
Program learning and adaptation through data use:
Support (COP/SPM/IM/etc.) in ensuring coordination with stakeholders’ (Ministry/sub-partner/etc.) agreement on protocols for data collection and reporting, as well as survey design and implementation.
Ensure country-level work plans and semi-annual reports appropriately incorporate the relevant data, including accurate and high-quality reporting and using data to inform strategy and activities.
Analyze/use project M&E data to identify trends/patterns/outliers (e.g., low-performing districts) to discuss with (COP/SPM/IM/HQ MERLA etc.).
Support stakeholders to regularly input information into and use the national data storage platform, such as the Integrated NTD Database, to submit high quality data to WHO (including Joint Application Package [JAP], Trachoma Elimination Monitoring Form [TEMF], and elimination dossiers), etc.
Collaborate with in-country and HQ staff to identify opportunities for in-country learning and program adaptation, including operationalizing learning agenda action items.
Support analysis of MERLA capacity strengthening needs within the national program, synthesize learnings, and collaborate with (COP/SPM/IM/HQ MERLA etc.) on a capacity strengthening strategy to promote in-country learning and adaptation.
Contribute to cross-program learning by sharing experiences and lessons learned by in-country and HQ staff.
Provide technical assistance to the MOH to facilitate mainstreaming of MERLA activities, including but not limited to incorporating NTD indicators and reporting into the HMIS system, ensuring continued high-quality reporting of control diseases after elimination, post-validation surveillance, etc.
Coordinate and facilitate periodic pause and reflect activities, including but not limited to after action reviews post mass drug administration and disease specific assessments, utilizing the Data Action Guide, etc.
Strengthen the capacity of the MOH to conduct MERLA activities and institutionalize the approaches for said MERLA activities.
Identify opportunities for operational and programmatic research, provide inputs as needed for development of protocol, data collection, data analysis, and report writing, with guidance from (COP/SPM/IM/HQ MERLA/MOH).
Qualifications
Master's Degree in Public Health, Epidemiology, Biostatistics, or other analytics field, plus 3 year of experience; or bachelor’s degree plus 5 years of experience in global health/ governance/ nutrition/ environment programs is required.
Experience in quantitatively analyzing M&E data and synthesizing findings for programmatic use is required.
Proficiency with Microsoft Excel (required) and at least one other statistical package such as: R, SAS, STATA, or SPSS (preferred).
Experience in designing and implementing qualitative studies, analyzing qualitative data and generating learning for programmatic use (preferred).
Prior USAID experience preferred.
Knowledge of MERLA methods and approaches, as learned through coursework, internship, or work experience is required.
Experience managing electronic data capture and working with real-time monitoring of data (preferred)
Ability to work in a fast-paced environment and meet deadlines under pressure
Capacity to prioritize and manage multiple tasks
Strong organizational skills
Detail-oriented
Hard-working
Proven ability to work effectively in a team-oriented setting while also taking initiative to complete assigned tasks with high quality and within tight timelines
Technical content experience in one or more of the following areas preferable: health systems strengthening, infectious diseases, NTDs, HIV, maternal and child health, nutrition or gender.
High level of integrity
Ability to communicate respectfully in a multi-cultural environment
An understanding of development issues
Competency in English (required).
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