STATISTICAL PROGRAMMER/ANALYST RuffaloCODY
THIS JOB HAS EXPIRED DESCRIPTION
Scannell & Kurz, a RuffaloCODY company, specializes in developing customized financial aid and enrollment management solutions for higher education clients. The partnership of Scannell & Kurz and RuffaloCODY is excited to offer a Statistical Programmer/Analyst opportunity in Rochester, New York.
The Statistical Programmer/Analyst will be responsible for developing enrollment and retention probability models designed to assist clients with understanding the key drivers in enrollment and re-enrollment decisions which are then used to make recommendations to clients about changes in enrollment policy, strategy, and organization with the goal of achieving enrollment and retention objectives.
ESSENTIAL DUTIES/RESPONSIBILITIES: (not limited to)
Communicate effectively with clients regarding data needs and issues
Maintain and secure client data
Run data integrity checks on client data and work with clients to correct errors
Transform, prepare, and manipulate raw data sets for data processing, report generation, and statistical analyses
Create clear and informative summary reports/tables
Use SAS to develop enrollment and retention probability models and to simulate alternative awarding strategies
QUALIFICATIONS: Education, Licenses/Certifications and Work Experience:
Proficient in using SAS or other statistical software (i.e., SPSS, STATA, etc.) to do the following:
Perform statistical analyses using descriptive, inferential, and multivariate statistics
Manage and maintain data files
Design and prepare statistical charts, tables, and graphs
Excellent problem solving skills and overall ability to independently work through obstacles
Solid understanding & knowledge of Microsoft Excel
Bachelor?s degree in Statistics, Mathematics, Economics, Computer Science, or other relevant field.
Excellent organizational skills, very detail-oriented
Excellent communication skills, both verbal & written
Infrequent light physical effort required
Must be able to work in an environment where the noise level is low
Master?s degree in Statistics, Mathematics, Economics, Computer Science, or other relevant field.
Familiarity with college admissions or financial aid terminology
Experience in institutional research or enrollment management research
||221 3rd Avenue SE, Suite Ten |
P.O. Box 3018
Cedar Rapids, IA 52401
THIS JOB HAS EXPIRED