Detailed Job Description
The Statistician and Data Analyst will perform and interpret a range of complex statistical analyses in order to prepare or collaborate in the preparation of technical evaluation and research reports for projects and programs assigned to his/her Research and Evaluation Project Team. The Statistician and Data Analyst will promote the Evaluation & Assessment Center's mission by providing timely and accurate technical services, maintaining superior client relations, and working collaboratively with his/her Project Team.
Develop and maintain multiple, large data bases; oversee quantitative data collection and processing for Project Team projects; assist Project Team in the development of research/evaluation designs; create and maintain online survey instruments using Qualtrics, or similar platforms; conduct advanced parametric and non-parametric statistical analyses, e.g., univariate and multivariate statistical analyses, and Item Response Theory modeling (Rasch Model); utilize analytical, mathematics, statistics, and modeling techniques to interpret data, identify trends/patterns, and create statistical models using historical data and modeling software; execute project quantitative data analysis plans and make recommendations to Sr. Research Associate and Project Manager for improvement; provide accurate and appropriate interpretation of data, applying knowledge of relevant research literature to the interpretation of analysis results; recognize and self-correct when data sets, statistical outputs, and/or findings are inaccurate or misrepresented; develop multiple types of data visualizations to communicate technical information in non-technical ways, through tables, charts, graphs, and other representations; summarize analysis results in written format (interim, technical and annual reports, conference presentations) for varied audiences, e.g., lay and professional; develop and produce aggregated and dashboard reports using MS SQL, MS Access or/and MS Excel; create technical design documentation, including current and future functionality, database specifications, data mappings and diagrams to detail proposed implementation; contribute to scholarly papers, presentations, and other professional documents; represent the Center with clients and advisory groups on the state and national levels; other duties as assigned and related to Center's evaluation and research activities.
Bachelor's degree in statistics, data analytics, engineering, educational psychology, science, mathematics, or closely related field; at least 2 years of experience with standard quantitative and qualitative research methods; at least 2 years of experience in analytics/data analysis; at least 2 years of work experience in the use and application of statistical computer software packages, including SPSS, SAS, and/or R; at least 1 year of work experience in quantitative statistical analyses (t-test, ANOVA, regression, factor analysis, GLM, Chi-square, etc.), survey sampling, and research/experimental design; at least 1 year of experience managing large data sets using data management systems and spreadsheets (i.e., ACCESS, FileMaker, or Excel); at least 1 year of experience with Microsoft Office Suite. Experience may be accrued concurrent with advanced degree-seeking activities. Knowledge of educational research, preferably mathematics and science education; experience writing interim, technical and annual reports, and other professional documents; experience explaining complex statistical ideas to colleagues and clients using non-technical language when appropriate; ability to work independently and collaboratively on an evaluation/research team; ability to handle multiple tasks and complicated detail work accurately and efficiently in the face of changing priorities and tight timelines.
Graduate degree in statistics, data analytics, engineering, educational psychology, educational leadership, or related field; experience with complex statistical modeling, i.e., HLM and/or SEM; experience with Winsteps or other software for Rasch Modeling or Item Response Theory modeling; experience generating and automating reports and dashboards in MS Excel, writing code and creating macros; experience independently producing professional writings; experience working with US school data and large databases; experience working in a research group, focused on evaluation of teaching and learning; flexibility for travel to meet with clients, advisory groups, and to present at national conferences.
Special Instructions to Applicants
Applicants will be asked to submit a cover letter, resume, and list of three references when applying to this position. For inquiries about the position contact email@example.com.