Research Analyst II

RFCUNY Research Foundation of the City University of New York•New York, NY

10d•Remote

About The Position

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY). The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries. We are pleased that you are interested in exploring opportunities to join RFCUNY.

Requirements

Master’s degree in Social Sciences, Data Analytics, Education, or a closely related field.
At least 3 years experience working in applied research setting.
Demonstrated knowledge in research and evaluation methods.
Strong understanding of statistical concepts.
Demonstrated proficiency in the use of statistical software (STATA and/or R) to analyze and manipulate large data sets with complex structures.
Experience employing quasi-experimental quantitative methods in program evaluation (such as propensity score matching, linear regression, or logistic regression).
Experience translating research findings into deliverables for diverse types of audiences.
Experience using qualitative research methods.
Familiarity with matching data sets and manipulating large amounts of data from multiple sources.
Demonstrated skill in managing evaluation and/or research projects.
Detail-oriented, with an ability to keep accurate, well-organized records.
Excellent oral and written communication skills.
Demonstrated interest in issues of access to and success in postsecondary education.
Proof of legal authority to work in the United States.

Responsibilities

Conduct quantitative and qualitative analyses utilizing a variety of data sets and databases to evaluate the programs and produce effective data visualizations.
Maintain proficient working knowledge of data sources and processes related to program operational, reporting, and evaluation needs.
Perform data analysis (including production of summary statistics) to produce program reports on topics such as: profile of students served, program engagement, and key outcomes of interest.
Participate in the design and implementation of qualitative and quantitative evaluation plans.
Liaise with program partners throughout projects to engage them in the project, keep them apprised of progress and issues that arise, and discuss results.
Ensure data quality and completeness.
Manage projects and project teams effectively and efficiently to deliver high-quality, actionable data and evaluation to project partners on time.
Create and manipulate large, complex datasets from multiple sources.
Communicate evaluation findings in written reports, briefs, data visualizations, and presentations for a variety of audiences.
Respond to ad hoc requests in a timely and accurate manner.