Research & Evaluation Analyst

MC² Education is seeking a versatile Research & Evaluation Analyst who can make strong quantitative contributions and flex across the many kinds of work required to move applied research projects forward. The analyst will support rigorous studies including randomized controlled trials (RCTs), quasi-experimental designs (QEDs), and large-scale survey analyses while contributing to project coordination and qualitative research.

Responsibilities:

• Clean, manage, and analyze quantitative data using R or Stata, with careful attention to accuracy and reproducibility
• Conduct descriptive, inferential, and multivariate statistical analyses, including analyses for RCTs, QEDs, and observational studies
• Independently analyze survey data and prepare clear tables, figures, and statistical outputs
• Collaborate with senior researchers on study design, analytic strategy, interpretation of findings, and more complex methodological decisions
• Conduct data validation and quality assurance; prepare codebooks, analytic datasets, and well-documented programming scripts
• Contribute to qualitative interviews, coding and synthesis, data collection, instrument development, and literature reviews as project needs arise
• Support day-to-day project execution, which may include coordinating activities, tracking tasks and timelines, communicating with partners, and preparing meeting materials
• Synthesize findings and contribute to technical reports, evaluation briefs, presentations, and other products for technical and non-technical audiences
• Participate in internal quality assurance reviews and shift comfortably among projects, teams, and responsibilities while maintaining high-quality work

Requirements:

• Master's degree in Statistics, Economics, Education, Public Policy, Psychology, Sociology, Biostatistics, or another quantitative social science field
• At least 2 years of professional experience conducting quantitative research, program evaluation, or closely related applied research
• Demonstrated experience supporting randomized controlled trials (RCTs) and/or quasi-experimental designs (QEDs)
• Proficiency in R or Stata, including writing reproducible code for data cleaning, management, and statistical analysis
• Experience independently conducting survey analyses from raw data through final tables and figures
• Strong understanding of statistical methods commonly used in applied social science research
• Excellent written and verbal communication skills
• Experience with education research or program evaluation
• Familiarity with longitudinal data, multilevel modeling, propensity score methods, or causal inference techniques
• Experience working with administrative education data
• Knowledge of reproducible research practices (e.g., Git, Quarto, R Markdown, or similar tools)
• Experience with qualitative or mixed-methods research, project coordination, instrument development, data collection, or client-facing deliverables