Perform complex data analyses using advanced statistical modeling methods, including propensity score weighting, growth curve modeling, hierarchical linear modeling, regression discontinuity, structural equation modeling, meta-analysis, and other methods appropriate to randomized controlled trials, quasi-experimental studies, and correlation research designs. The position designs data collection and reporting tools; consults with internal and external stakeholders to define data needs; and prepares, validates, integrates, secures, and archives complex educational datasets from multiple sources.