EnCompass LLC

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Summary

Education

Advanced degree (Master’s or Ph.D.) in Statistics, Biostatistics, Economics, Data Science, Public Health, or a related field.

Experience

Additional Requirements

At least 8 years of experience in applying advanced statistical methods in program evaluations, preferably in international development contexts.
Proficiency in statistical software such as SPSS, Stata, or R, with proven experience in conducting advanced analyses (e.g., regression modeling, cluster analysis, hypothesis testing).
Experience with quantitative survey design, sampling methods, and large-scale data collection, particularly in two-stage cluster sampling; experience with anthropometric data
Strong data management skills, including data cleaning, validation, and preparation for analysis.
Demonstrated ability to analyze and interpret complex datasets, generating insights on key outcomes like food security, nutrition, and resilience.
Experience integrating quantitative and qualitative data to produce comprehensive evaluation findings.
Strong communication skills, with the ability to present statistical findings through clear, accessible visualizations (e.g., charts, graphs) and reports.
Familiarity with USAID data reporting requirements and experience preparing anonymized datasets and codebooks.
Proven ability to work collaboratively with multi-disciplinary teams, ensuring alignment of statistical analysis with overall evaluation objectives.

Essential Functions:

Calculate sample sizes for SHOUHARDO and/or Nobo Jatra evaluations, accounting for baseline rates, intra-cluster correlation, and design effects.
Develop and implement a statistical analysis plan to evaluate key outcomes such as food security, resilience, and nutrition.
Provide statistical expertise in designing household and LSP surveys to ensure effective data collection and analysis.
Oversee the data cleaning process, ensuring datasets are accurate, complete, and free of inconsistencies..
Conduct advanced statistical analyses, including regression modeling and trend analyses to assess changes over time.
Adjust for clustering and design effects in statistical models to ensure valid and reliable results.
Create visualizations such as charts and graphs to present statistical findings in reports and presentations.
Collaborate with the qualitative analysis team to triangulate quantitative findings with qualitative insights.
Contribute statistical input to evaluation reports, ensuring proper interpretation and presentation of results.
Ensure data integrity, confidentiality, and compliance with USAID data security policies throughout the analysis.
Prepare cleaned, anonymized datasets, codebooks, and statistical documentation for submission to the USAID Development Data Library.

Contractual

Dhaka

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