DescriptionThe Tennessee Reading Research Center (TRRC) conducts state and federally funded research on literacy initiatives, instruction, and assessment. The Research Data Analyst leads specialized data management, analysis, and reporting projects supporting TRRC research and related policy and program initiatives. 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. The Research Data Analyst independently addresses complex data issues, selects appropriate analytic methods consistent with research standards, and performs advanced statistical analyses of randomized controlled trials, quasi-experimental studies, and correlation designs. Methods may include propensity score weighting, growth curve modeling, hierarchical linear modeling, regression discontinuity, structural equation modeling, and meta-analysis. The position develops reproducible code, data-quality procedures, reports, queries, tables, and visualizations; presents findings to stakeholders; and produces data products that inform research, data-collection practices, policy decisions, and program initiatives.
ResponsibilitiesData Quality, Preparation, Tool Development, and Process Improvement:
Lead projects within an area of specialty related to research data quality, preparation, collection, and reporting.
Consult with internal research teams, external partners, and other stakeholders to understand data needs; design and develop data collection and reporting tools, applications, queries, and processes that deliver requested information and support research initiatives.
Prepare complex research datasets by writing efficient, robust, and clearly documented code to import, merge, clean, standardize, link, de-identify, and archive data from multiple sources.
Validate dataset integrity and conduct quality-control checks to identify, prevent, investigate, troubleshoot, and resolve errors, inconsistencies, missing data, and other data-preparation issues.
Work independently on complex issues requiring in-depth analysis of variable factors and use innovative solutions to resolve p