Senior Research Analyst

The Graduate School at the University of Maryland, College Park
College Park, Maryland
Feb 13, 2019
Mar 20, 2019
Analyst, Research
Full Time

The Graduate School at the University of Maryland, College Park, invites applicants for the position of Senior Research Analyst (SRA). The state’s flagship campus, UMCP is an AAU research university with national distinction and global prominence. The SRA works closely with the Dean and Senior Staff of the Graduate School (GS) to identify data needs and has responsibility for gathering and analyzing data, reporting to internal constituencies, and working with the Office of institutional Research, Planning and Assessment (IRPA) for external reporting. The data utilized pertain principally to the 230 graduate programs at UMCP and the 11,000 students enrolled in them, and more broadly, to graduate programs at UMCP and peer institutions; prospective and current graduate students and graduate alumni; internal and external program and student comparisons; fellowships, assistantships, and scholarships and their impact on student success; diversity in graduate students, faculty, and programs; and student post-graduation placement.

The SRA implements one-time and on-going academic and co-curricular assessment and designs, collects and analyzes the biannual Graduate Outcomes Assessment, and produces detailed reports and data collection instruments for the Dean, Assistant Dean, and staff within the GS, using (and contributing to) internal and external databases. The SRA collaborates closely with IRPA and provides research, analysis, reports, and presentations for other University offices, various graduate programs/deans, visitors from external organizations and institutions, and GS donors and development prospects. The SRA must demonstrate analytic and technical proficiency with a variety of products including Excel, statistical software, data extraction and reporting packages, and data warehouse and production environments. The candidate must have familiarity with descriptive and inferential statistics, including multiple and logistic regression and factor analysis. The SRA performs statistical analyses on small and large data sets to identify important relationships and trends; develops complex models for data analysis; and develops charts, graphs, dashboards, and visualizations that help communicate and explain findings.

Qualifications: Master’s degree from an accredited institution in higher education, statistics, social sciences or related field; two years of full-time experience (or part- time equivalent) in data management and analysis and in delivery of high quality reports and presentations. (A Bachelor’s degree from an accredited institution in one of those fields plus five years of full-time experience can substitute). Excellent oral and written communication skills and analytic ability. Proficiency with MS Excel and tools required to manage, analyze, and report data. Expert level knowledge of statistical programming, data querying, and manipulation of data within statistical packages such as SAS, SPSS, S-Plus and/or R; specific knowledge of regression analysis, non-parametric statistics, and analysis of variance is essential. Ability to work independently, manage complex projects effectively,        and communicate ideas and data outcomes accurately and clearly.

Preferences: PhD or equivalent doctorate degree. Experience working in higher education research or planning. Knowledge of Hyperion/BRIO; demonstrated knowledge of Tableau. Familiarity with UMD Student Information System (SIS) and/or UMD Data Warehouse a plus.

TO APPLY: Please  visit and submit a cover letter, resume, and the names and contact information for at least three references. For best consideration, materials should be submitted by March 1, 2019; however, this position will remain open until filled.

Candidates must be able to provide proof of eligibility to work in the USA. No H1-B visa sponsorship is offered for this position. 

The University of Maryland is an EOE/AA Employer - Minorities, Women, Protected Veterans and Individuals with Disabilities are encouraged to apply.

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