Job Detail

About International Medical Corps

Job Description

Job Purpose

The role of the Monitoring, Evaluation, Accountability and Learning (MEAL) Officer is to implement the MEAL work plan and contribute to achieving and improving the quality of the program/project. The MEAL Officer will provide support by collecting and managing the program's/project's output and outcome data. The MEAL Officer also plays an important role in data analysis and carrying out MEAL activities in the field. The MEAL Officer will provide support to the program’s MEAL function in the field through working closely with the field staff to ensure the quality of the program/project. The role holder will also work on ensuring that Community-Based Feedback and Response Mechanisms (CBRFMs) are in place.

Main Responsibilities

1. IMC’s policies, guidelines, and procedures

• Actively promote Prevention of Sexual Exploitation and Abuse (PSEA) standards within IMC and amongst its beneficiaries.
• Contribute to the creation of a positive image and overall credibility of the organization, notably through the application of the Code of Conduct, ethics, values, and standpoint with regards to internal and external actors.
• Apply the basic monitoring, evaluation, accountability and learning concepts and the purpose of MEAL, with a specific focus on accountability to affected populations (AAP).
• Manage the implementation of policies and procedures for monitoring, evaluation and reporting in the country specific to AAP and CHS commitments.

2. Project design and planning

• Participate in needs assessment by organizing the training for enumerators on assessment methodology, tools, respondent’s selection, and supervise field team to ensure field level data integrity.
• Ensure that MEAL activities are participatory monitoring, evaluation, accountability, learning and needs assessment and uphold accountable and useful MEAL systems.
• Support in developing results framework and logframe, including indicators for simple projects.

3. MEAL system

• Ensure that different components of the MEAL system are functional and relevant and maintain IPTT to track output, outcome, and impact indicators and their measurement in the different sectors of relevance.
• Support MEAL department in development of databases for all programs by using available technologies.
• Organize and lead data collection activities following the data collection and reporting flow put in place for a project.
• Use tools for tracking project's progress and bottlenecks and develop simple data collection tools based on monitoring indicators.
• Maintain effective M&E system (ensure data collected translates to the M&E Framework/IPTT).
• Conduct regular field visits.
• Conduct periodic data analysis and triangulate data from other MEAL exercise.

4. Data quality management

• Conduct periodic data quality audits to assess the quality of collected data for indicators.
• Mitigate data pitfalls, issues, and ensure that strategies for quality data are in place.
• Report data quality issues to the MEAL Manager/Coordinator.
• Adhere to the fundamental concepts of data quality.
• Conduct on-site routine data quality audits at community levels.
• Assess the quality of collected data for indicators.
• Provide supportive supervision on data quality at facility and community-levels.

5. Sampling

• Apply the concept of ‘random sampling’ following instructions/guidelines of a manager.
• Apply ‘spin-the-bottle’ method used for selection of households in population-based surveys.
• Implement probability and non-probability sampling techniques as and when appropriate after consulting with manager.
• Develop sampling frame and carry out sampling following instructions (manager, guidelines).

6. Qualitative and quantitative techniques

• Use different qualitative and quantitate methods of data collection including structured/ semi structured interviews, key informant interviews, in-depth interviews, group discussions, focus group discussions and direct observations as an M&E tool. Conduct trainings on qualitative techniques for data collection for MEAL, program and interviewers.
• Develop and use key qualitative tools (observation checklists, guide for group discussion and interviews) for monitoring purposes.
• Engage with communities on accountability and conduct community consultations.
• Apply the different interview techniques (structured/semi-structured) and use appropriate questionnaires for monitoring purposes as and when appropriate
• Engage with communities on accountability and conduct community consultations with understanding of social dynamics and ensure data is collected representative of populations.
• Conduct regular/when required site visits to monitor data collection process to ensure data quality.

7. Mobile and manual data collection

• Determine the appropriate data collection tool based on the purpose, advantages and disadvantages of mobile data collection techniques.
• Install and configure mobile data collection tools (OKD collect, Kobo collect, ONA collect, etc.) on smart phones or tablets
• Design simple questionnaire using XLS form and configure mobile phones and tablets for mobile data collection.
• Use smart phones/tablets for data collection
• Provide training to MEAL staff and enumerators on mobile data collection mechanism and software.

8. Data analysis, including use of statistical software

• Perform data cleaning and ensuring data integrity before data analysis.
• Perform descriptive univariate and bivariate data analysis using Excel Pivot tables or statistical software.
• Interpret frequency tables, bi-variate cross tables, the mean and median.

9. Evaluation design

• Contribute to the preparation of project evaluation and facilitating the field level work.
• Apply the fundamental principles of evaluation (concepts, purposes and types of evaluations, contribution versus attribution, and counterfactual).
• Use and supervise quantitative, qualitative, and mixed methods of data collection in evaluation.

10. Techniques for presenting information

• Communicate clearly the findings of monitoring activities and reviews against targets set by the project.
• Compile data and indicators at the project's level for reporting in a clear and concise manner, providing all required information.
• Possess the skills to use PowerPoint to share results of data analysis and monitoring.

11. Management and leadership

• Supervise MEAL Assistants, MEAL monitors and survey enumerators at field sites level.

Coordinate with the manager/program staff for data collection/MEAL activities.

12. Capacity development and training

• Deliver basic training to teams (data collection methods, use of tools, and concepts of M&E).
• Assess the knowledge change of participants to trainings.

13. Knowledge Management and Learning

• Organize the documentation of the project's activities, results, and processes.
• Organize secondary data (internal and external sources).

14. Community Based Feedback and Response Mechanism

• Adhere to key concepts and commitments regarding accountability to affected populations (AAP), including IASC CAAP, CHS, and Sphere Humanitarian Charter.
• Ensure that all data collected via the CBFRM has been reported to the manager in a timely manner, by creating a complaints database.
• Support Accountability officer and/or MEAL Manager/Coordinator in implementing and monitoring the CBFRM, accountability initiatives, and practices across the Mission.
• Support the implementation of methodologies to consult communities on their preferences based on the operational context.

15. Conflict Sensitivity

• Monitor the general context through regular field visits and report issues affecting beneficiaries and intra-community relations.
• Conduct community consultations and engage with communities to ensure accountability by applying different interview techniques (structured/semi-structured).
• Ensure data collected is representative of population and demonstrate an understanding of social dynamics.

16. Perform other duties and responsibilities as required.

Skills Required

• COMMUNICATION

Submission Guideline: