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Master's- level Education Analyst, Center for Education Evaluation and Research
2 months ago
RTI’s Center for Education Evaluation and Research (CEER), has an immediate opening for a master’s-level Education Analyst. Under the direction of project and task directors, this individual will support the design and execution of research and evaluation on elementary, secondary, and postsecondary education.
This position will work closely with education research staff at all levels and perform a variety of quantitative research tasks. The core responsibility for the position will be quantitative data analysis using a broad range of analytic methods. The successful candidate will create analysis plans; develop specifications for variables and datasets; create data dictionaries; write and implement statistical programs; provide statistical consultation for project directors, task leads, principal investigators, and other staff; and present findings with the potential to coauthor scientific papers. The position will support multiple research projects, and the successful candidate must be proactive, resourceful, highly organized, and able to work independently and efficiently. We are looking for an individual with a strong understanding of, commitment to, and lived experience with equity and social justice.
This position can be based in Research Triangle Park, NC or remote from anywhere within the U.S (full-time telecommuter).
Please submit a cover letter elaborating your interest in the position and a writing sample that demonstrates ability to present quantitative data and findings.
Responsibilities
Contribute to descriptive reports, analysis reports, and research applications by writing sections and preparing tables, figures, or other supplementary material. Manage complex datasets (e.g., district or institution administrative records, large-scale survey data, classroom observation data, etc.). Build, organize, prepare, and maintain datasets for analysis. Lead data cleaning and analysis using a broad range of analytic methods. Perform moderately complex statistical analyses and quality checks on datasets, statistical tables, and reports. Support multiple research projects and provide statistical consultation for supervisors and other staff. Contribute to evaluation and research design. Interpret, synthesize, and summarize information, including qualitative and quantitative data. Contribute to writing reports, briefs, proposals, and scientific papers. Communicate clearly in writing and orally with internal and external clients or business contacts. Contribute to proposals and business development. Complete other assigned tasks as required.
Qualifications
Master's degree in education, economics, sociology, developmental psychology, public policy, quantitative psychology, demography/population studies, or other related field, or a bachelor's degree in education, economics, sociology, developmental psychology, public policy, quantitative psychology, demography/population studies, or other related field and at least 3 year's of experience in related field. Must be proactive, resourceful, highly organized, and able to work independently and efficiently. Strong written and oral communication skills, including the ability to write clearly for a variety of audiences while following standard rules of English grammar, punctuation, and usage. Ability to work on complex, multifaceted projects under deadlines, both on a team and independently. Proficiency with Stata, Python, SQL, or R. Open to learning new statistical tools as required. Ability to analyze, interpret, and report complex data using appropriate methods (e.g., factor analysis, reliability analysis, multiple linear regression, logistic regression). Ability to clean, organize, document, and manage datasets and variables involving varying structures, variable types, and rounds or time points. Demonstrated proficiency with MS Office products including Word and Excel. Experience with manuscript and presentation preparation. To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status.
Preferred Qualifications:
Experience with advanced statistical and/or psychometric methods (e.g., fixed effects, structural equation modeling, hierarchical linear modeling, survival analysis, item response theory). Knowledge and/or experience with experimental and quasi-experimental designs such as randomized controlled trials, regression discontinuity, and propensity score matching. Experience managing and using public-use federal datasets such as American Community Survey (ACS), Current Population Survey (CPS), National Survey of College Graduates (NSCG), Survey of Doctorate Recipients (SDR), IPEDS, and Longitudinal Employer-Household Dynamics (LEHD).#LI-SB1
