Functional Job Title: Research Analyst
Office of Academic Affairs - Early College Initiative (ECI)
The City University of New York (CUNY) is the nation's leading urban
public university serving more than 540,000 students in matriculated
degree, certificate and continuing education programs at 24 colleges
and institutions in New York City. The Office of the Senior
University Dean for Academic Affairs oversees a wide range of
programs and initiatives at the University, including adult
literacy, college transition, early childhood professional
development, workforce development and continuing education,
collaborative programs with the New York City public school system,
as well as special programs such as the CUNY Language Immersion
Program (CLIP), Accelerated Study in Associates Program (ASAP) and
CUNY Start. The Dean's staff are located in offices in Manhattan,
Brooklyn and the Bronx.
The Research and Evaluation Unit, situated within the Office of the
Senior University Dean for Academic Affairs, supports a variety
of educational and workforce development programs by providing data
and information essential to developing and improving programs and
partnerships. The primary focus of the R & E Unit is to examine
these programs and the impact they have on students' academic skills
and achievement, college readiness, workforce readiness and other
key program outcomes. The R & E Unit provides statistical support
and analysis, including empirical research and program evaluation,
to a variety of audiences, including program administrators, campus
officials, and a national audience of educators, researchers and
The CUNY Early College Initiative (ECI) supports fourteen public
schools in New York City that blend a rigorous college-prep
curriculum with the opportunity to earn up to two years of college
credit while in high school -- at no cost to students and their
OAA is seeking to fill the position of Research Analyst. Under the
supervision of the Director of Research & Evaluation, the Research
Analyst, with support from research and evaluation unit staff, will
design and conduct quantitative and qualitative analyses utilizing a
variety of educational data sets and databases to evaluate the
program. The Research Analyst will help to develop and implement an
evaluation agenda for ECI and other programs and will also provide
critical support to OAA leadership by collecting, coding, and
organizing program data sets and developing evaluation reports.
• Conduct statistical analysis focused on student enrollment,
retention, college admissions, persistence and graduation outcomes
for ECI students at CUNY and other colleges;
• Prepare datasets for research on ECI and other OAA
• Document procedures and calculations used to describe
• Coordinate administration, collection and analysis of data
as required for program review;
• Respond to other periodic data requests in a timely and
accurate manner for internal and external stakeholders.
• Maintain selected databases and implement regular updates to
ensure data quality and completeness;
• Consult with CUNY research and evaluation staff on use of
CUNY data systems;
• Provide assistance and guidance to campus-based data staff
and/or central office data staff as needed;
• Work with ECI leadership to share and communicate evaluation
findings in written reports, briefs, and presentations for a
variety of audiences; and
• Perform minimal data entry as needed.
Salary: $60,000 - $70,000
• Minimum Master's Degree or advanced graduate training in
education or the social sciences, with at least four years of full-
time experience working in an applied quantitative research
• Formal training in social science research methods and a strong
understanding of basic statistical concepts.
• Demonstrated proficiency in the use of statistical software
(SPSS syntax, STATA, and/or SAS) to analyze and manipulate large
data sets with complex structures.
• Strong understanding of program evaluation methods for education
demonstration projects, including an understanding of the need to
be responsive to agency requests for data.
• Experience querying and manipulating data from a large
• Experience implementing evaluation models using propensity
score matching, linear regression and logistical regression
• Detail-oriented and ability to keep accurate, well-organized
• Ability to be flexible and to work carefully and quickly to
meet the demands of a busy program.
• Excellent oral and written communication skills.
• Experience working with database tools such as Microsoft Access,
SQL and/or Oracle Discoverer.
• Interest in education and issues of access to and success in