1. Background

The Day After (TDA) is an independent, non-governmental organization established in 2012, working to support democratic transition, transitional justice, human rights, and the protection and empowerment of communities across Syria. TDA designs and delivers donor-funded programmes and serves as a knowledge hub and convener within the Syrian civil society ecosystem.

TDA implements a portfolio of programmes that require robust, results-based monitoring, evaluation and reporting (MER) to track performance, evidence results, ensure donor compliance, and support adaptive, learning-oriented management. To strengthen this function across its active projects, TDA is recruiting a Monitoring, Evaluation and Reporting (MER) Officer.

2. Purpose of the Position

The MER Officer is responsible for establishing and running the monitoring, evaluation, learning and reporting systems of TDA's projects. The role ensures that credible, timely and disaggregated data is collected, analyzed and translated into high-quality, results-based reporting that meets internal and donor requirements. The Officer safeguards data quality, supports evidence-based decision-making and adaptive management, and coordinates evaluation processes across the projects to which the position is assigned.

3. Key Duties and Responsibilities

M&E System & Framework

Develop, maintain and update project M&E frameworks, logframes, indicator performance tracking tables (IPTT) and performance monitoring plans, ensuring alignment with each donor's results framework and reporting requirements.
Define indicator definitions, means of verification, data sources, collection frequency and disaggregation standards (e.g. by sex, age, disability, location, residency status) at project start.
Establish baseline and endline measurement approaches and lead their execution.
Ensure M&E systems reflect a results-based, outcome-oriented approach that measures change rather than activity delivery alone.
Data Collection & Management

Design, adapt and standardize data-collection tools (surveys, KII/FGD guides, pre/post assessments, observation and case-documentation forms, attendance records).
Set up and manage digital data-collection systems (e.g. mobile/KoBo-based tools) and maintain secure, well-organized project databases.
Coordinate and support field teams, monitors and partner staff in timely, consistent and ethical data collection across all locations.
Consolidate, clean and store data in line with data-protection and confidentiality protocols.
Data Quality Assurance

Run continuous data-quality assurance checks (completeness, consistency, accuracy, timeliness) throughout implementation.
Conduct data verification, spot-checks and light-touch field monitoring visits where feasible.
Identify data gaps and inconsistencies early and coordinate corrective action with field and programme teams.
Analysis & Learning

Analyse quantitative and qualitative data to track progress against targets, identify trends, and surface emerging risks and opportunities.
Produce disaggregated analysis and outcome evidence (including short outcome/change stories) to demonstrate results.
Support adaptive management by translating findings into practical, timely recommendations and documenting lessons learned.
Facilitate periodic reflection/learning sessions with project teams.
Reporting

Lead on and follow up the reporting process across the programme team, ensuring inputs are gathered, consolidated and delivered on time.
Take responsibility for compiling and quality-assuring narrative and results-based reports drawn from the programme team's contributions, against donor formats and deadlines (monthly, quarterly, interim and final).
Report against indicators and activity progress, and — in coordination with finance — link narrative and financial/expenditure reporting.
Contribute M&E inputs, evidence and data visualizations to donor reports, analytical products and communication materials.
Maintain an organizaed repository of means of verification and supporting documentation for audit and compliance purposes.
Evaluation & Compliance

Coordinate internal and external evaluations, including preparing documentation, briefing evaluators, and facilitating access to data, informants and project sites.
Support the implementation of evaluation and review recommendations.
Ensure all monitoring activities uphold cross-cutting standards: gender and disability inclusion, PSEA, Do No Harm, informed consent, and data protection.
Support donor compliance and audit readiness in relation to M&E documentation and evidence.
4. Qualifications and Experience

Essential

University degree in social sciences, statistics, development studies, international relations, or a related field (advanced degree an asset).
Minimum 5 years of relevant M&E / MEAL experience with NGOs or donor-funded projects.
Demonstrated experience designing and managing M&E frameworks, logframes and indicator tracking systems.
Strong quantitative and qualitative data-collection, management and analysis skills.
Proficiency with digital data-collection tools (e.g. KoBoToolbox / ODK) and data-analysis software (Excel required; SPSS/Stata/Power BI or similar an asset).
Proven results-based report-writing skills and familiarity with major institutional donor reporting requirements.
Understanding of protection-sensitive, gender-responsive and disability-inclusive data practices, PSEA and Do No Harm principles.
Excellent organizational skills and the ability to manage competing priorities across concurrent projects.
Fluency in Arabic and strong working English (written and spoken).
Desirable

Experience monitoring projects in the Syrian context or comparable conflict-affected / transitional settings.
Familiarity with thematic areas such as transitional justice, human rights, HLP rights, protection, or women's empowerment.
Experience coordinating field monitoring teams across multiple geographic locations.
Experience supporting external evaluations and data-visualization / information products.
5. Core Competencies

Attention to detail, accuracy and integrity in handling data.
Strong analytical thinking and problem-solving.
Ability to work independently, manage deadlines and prioritize across parallel projects.
Strong communication, coordination and teamwork skills.
Commitment to confidentiality, safeguarding, protection and ethical data practices.

Please send your resume/CV