Background

On 28 March 2025, a devastating 7.7 magnitude earthquake struck central Myanmar, resulting in significant loss of life, widespread infrastructure damage, and a deepening humanitarian crisis. In response, UNDP launched the Earthquake Response – Community Led Recovery and Reconstruction Project, aiming to support affected communities in restoring services, rebuilding livelihoods, and strengthening resilience through inclusive, locally driven recovery efforts.
The project focuses on two core outcomes:
1.    Restoration of essential community infrastructure and improved disaster risk reduction (DRR) capacity
2.    Livelihoods recovery and economic revitalization through inclusive and gender-responsive support
 

Duties and Responsibilities

Under the overall guidance and supervision of Project Manager, the Monitoring , Evaluation and Learning Analyst supports effective monitoring and evaluation of project activities. S/he will work in close collaboration with the Program Specialist and project team liaising frequently with CO Programme and Operations teams. 

Improve Data Collection Process

Develop project dashboard and data collection tools aligned to CO and donor reporting requirements. Train project staff and partners on the proper use of data collection tools, ensuring they understand the importance of accurate and timely data reporting. Conduct regular data quality assessments to identify and address any issues in data collection, ensuring data integrity and reliability.

Enhance Data Analysis and Reporting

Develop a centralized database or data management system to store all project-related data securely and facilitate easy access and retrieval for reporting purposes. Utilize data visualization and analytical tools to interpret and present data in a clear and concise manner, facilitating data-driven decision-making by project management. Generate comprehensive and timely reports on project progress, maps, outcomes, and impact, ensuring they are tailored to various stakeholders' needs (e.g., donors, partners, management) and submitted within specified deadlines.

Ensure Compliance and Reporting

Operationalize MEL framework with implementation robust monitoring and evaluation (M&E) plan, outline/adjust key indicators and targets to measure project success and effectiveness. Regularly track and analyze project indicators against established targets, identifying any deviations or trends that may require corrective action or further investigation. Work closely with Risk Management Unit (RSMU) to input internal MEL system. Contribute to periodic evaluations and impact assessments to assess the project's overall performance and identify lessons learned and best practices for future project improvements. Advising the project manager of any concerns regarding implementing partners’ financial and operational management.

Documentation, learning, and knowledge management

Documentation of good practices, success stories and lessons learned. Facilitate internal project learning through lessons learned sharing events to encourage continuous improvement of the project management. Facilitate events to disseminate good practices and lessons learned to other relevant stakeholders. Ensure inter and intra project communication and coordination with CO team, field teams and external stakeholders.

Contributing to external evaluations and impact assessment

Contribute to periodic evaluations and impact assessments to assess the project's overall performance and identify lessons learned and best practices for future project improvements. Training the enumerators and supervising data collection process. Contribute to data analysis and report writing for the periodic evaluations and impact assessments.

The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization
 

Competencies

Core competencies:

Achieve Results: Level 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline Think Innovatively: Level 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements  Learn Continuously: Level 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback Adapt with Agility: Level 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible  Act with Determination: Level 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident Engage and Partner: Level 1: Demonstrates compassion/understanding towards others, forms positive relationships Enable Diversity and Inclusion: Level 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination

Cross-Functional & Technical competencies:

Business Development    

Knowledge Generation. Ability to research information and to turn it into useful knowledge, relevant for context, or responsive to a stated need. Ability to apply existing concepts to new situations, and to develop new concepts to generate workable solutions and new approaches. Knowledge of relevant concepts, conceptual models, and theories that can be useful in addressing new situations.

Digital    

Data Literacy    Understand the potential as well as the limitations of using data driven innovation. Ability to use a mix of data sources (quantitative, qualitative or real-time techniques) to develop understanding, identify patterns to inform decision making or identify opportunities for further exploration Developmental evaluation Developmental evaluation. Learning and adaptation focused: ability to promote and facilitate ongoing reflection and adaptation; aimed at informing learning and portfolio related decision making. Being comfortable with unknown unknowns, uncertainty and understand the traits and value of working with emergence. Being able to give direction rather than destination: monitor and learn about how we understand the present and our direction towards something better (general intent) – not measuring progress and milestones towards a specific pre- defined goal Being able to carry out evaluation thinking in complex systems and adapting evaluation strategies to changing realities. Being inclusive, collaborative and co-creative: being able to design and implement evaluation frameworks with the variety of stakeholders and beneficiaries involved. Being flexible and able to use of a mix of methods, having a high tolerance for ambiguity and can draw on a variety of qualitative and quantitative evidence, is open to unorthodox types of evidence. Ability to set up the structures, conditions, rituals to create a culture for curiosity, reflection and learning and promote evaluation results and insights from a learning perspective. Understand key principles of systems and complexity theory
 

Business Direction & Strategy    

System Thinking. Ability to use objective problem analysis and judgement to understand how interrelated elements coexist within an overall process or system, and to consider how altering one element can impact on other parts of the system

Required Skills and Experience

Education:

Advanced university degree (Master’s degree or equivalent) in Social Sciences, Literature, Statistics or related discipline is required, or A first-level university degree (Bachelor´s degree) in Social Sciences, Literature, Statistics or related in discipline in combination with additional 2 years of qualifying experience, will be given due consideration in lieu of Master´s degree.

Experience:

Applicants with Master’s degree (or equivalent) in a relevant field of study are not required to have professional work experience. Applicants with a Bachelor’s degree (or equivalent) are required to have a minimum of two (2) years of relevant professional experience at the national or international level in supporting project implementation, monitoring and evaluation of projects. Proven Knowledge of M&E frameworks, indicators, and data quality assurance processes. Proven ability to identify trends, patterns, and insights from data sets. Cultural Sensitivity and proven capacity to work effectively in diverse settings with people from different backgrounds and cultures. Deep understanding and strong devotion to Ethical Standards, including Integrity, Professionalism, and Impartiality. Experience in creating dashboards and visual representations of data. Experience in using data to inform decision-making and program improvements. Demonstrated experience in using data collection tools, methodologies and methodologies. Experience of working on complex projects and ability to deliver in strict timelines with good quality. Proven ability to conduct data analysis and interpret findings accurately.

Required languages:

Fluency in English and Myanmar language is required.

Equal opportunity

As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination. 

UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.

Sexual harassment, exploitation, and abuse of authority

UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles. 

Right to select multiple candidates

UNDP reserves the right to select one or more candidates from this vacancy announcement.  We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

Scam alert

UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert.

 

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