Background

SLM is a monitoring, evaluation, and learning firmthat provides bespoke solutions to complex global challenges. We partner with leading international donors, multilateral organizations, and implementing partners to advance evidence-based decision-making.

SLM is currently preparing a proposal for a large-scale, mixed-methods Situation Analysis focusing on education access, continuity, and vulnerability in Myanmar. This highly strategic study will inform sector-wide planning, resource allocation, and resilience programming in a complex and evolving operating environment.

We are seeking exceptional analytical and research professionals to join our proposed team. The anticipated period of performance is June 2026 to January 2027.

Role Overview:

The Quantitative Analysis Specialist will lead the rigorous secondary analysis of large-scale national household datasets. You will be responsible for extracting insights on education participation, dropout rates, and household expenditure dynamics to identify key vulnerabilities across geographic and socioeconomic groups.

Key Responsibilities:

• Conduct complex statistical analysis of 2025 household-level microdata, accounting for survey design and weighting procedures.

• Examine indicators related to education participation, interruption, non-participation, and vulnerability exposure.

• Produce highly disaggregated findings (by geography, gender, urban/rural, and socioeconomic status).

• Draft clear, concise interim technical notes and contribute written quantitative sections to the final analytical report.

Required Qualifications:

• Language & Communication: Full professional proficiency in written and spoken English. Ability to translate complex statistical findings into accessible written narratives.

• Education: Advanced university degree in Statistics, Economics, Data Science, or a related discipline.

• Experience: Minimum five (5) years of experience analyzing large-scale household or social sector datasets.

• Technical Expertise: Demonstrated experience working with complex survey designs and weighting procedures; proficiency in commonly used statistical software (e.g., Stata, R, SPSS, Python).

• Desirable: Specific experience analyzing education-related indicators and conducting multivariate or regression-based analysis.

How to apply

We are collecting expressions of interest and candidate materials exclusively through our dedicated Google Form portal.

Please submit your application here: Application: Quantitative Analysis Specialist – Education Situation Analysis (Myanmar)

REQUIRED APPLICATION MATERIALS: To be considered for inclusion in our proposal, your application must include the following compliance documents:

1. Detailed Curriculum Vitae (CV): Maximum three (3) pages.

2. Academic & Professional Certificates: Copies of all relevant academic degrees, diplomas, and professional certifications.

3. Reference Projects: A brief summary or list of relevant institutional assignments/projects undertaken that align with the specific role requirements.

Note: You will be asked to confirm your general availability for the June 2026 – January 2027 performance period within the application form. A formally signed Statement of Availability will only be requested if you are shortlisted.

SLM is an equal-opportunity employer. Only shortlisted candidates will be contacted for further discussions regarding daily rates and exact level of effort.