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Senior Analyst, Institutional Research

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Date: May 25, 2019

Location: Cincinnati, OH, US

Senior Analyst, Institutional Research

 

The Office of Institutional Research is accepting applications for a Senior Analyst. Under general supervision from a designated administrator, performs advanced analysis and reporting for the operational activities of the office.

                                            

Major Duties and Responsibilities

  • Develops reports, analyzes results, interprets, presents, and validates institutional research studies using the full spectrum of university data to provide information to senior university administration;
  • Provides assistance as needed to support reporting to state and federal governments, Higher Learning Commission (HLC), external agencies and other accrediting bodies, including the U.S. Department of Education via IPEDS, Ohio Department of Education via HEI, AAUP, NCAA and US News and World Report;
  • Writes complex programs against University and external databases in order to develop required/requested research and documents and maintains data/program files. Assists in the significant effort necessary to re-program existing reports, to provide the campus community with more accurate timely information;
  • Works with colleges and departments to determine their needs, formulate research plan and execute the plan in order to assist the areas in the decision making process;
  • Performs queries and benchmarking analyses against large national and external databases such as those from NCES and HEI;
  • Prepares extensive reports, including dashboards, narratives, tables and graphs, and disseminates them in the form of reports or interactive dashboards;
  • Responds to ad hoc requests and other duties as assigned.

 

Minimum Qualifications

  • Bachelor’s Degree in Computer Science, Mathematics, Social Sciences or related discipline plus five (5) years’ experience in institutional research, and in data analysis, including the management of data sets and the generation of reports from relational databases.

 

Preferred Qualifications

  • Master’s degree in a discipline that includes data analysis, research or scientific methods.
  • Previous experience in an Institutional Research Office
  • Previous financial data analysis experience

 

Applicant Instructions:

  • Include a cover letter in the attached documents along with a resume or CV
  • Three professional references will be requested from final candidates

 

The University of Cincinnati, founded in 1819, is a premier, public, urban research university located in the heart of Cincinnati, Ohio.  The university boasts a student body of over 44,000 enrolled in over 370 programs of study and is the region’s largest employer with over 10,000 faculty, staff and student workers. 

 

The University of Cincinnati offers students a balance of educational excellence and real-world experience and embraces diversity and inclusion as core values. U.S. News & World Report has ranked UC in the Top Tier of America’s Best Colleges. Forbes, Delta Sky and Travel + Leisure magazines have named UC one of the most beautiful campuses. 

 

Please use the following link: http://www.uc.edu/hr/benefits.html for information about the university's benefits including retirement options, health coverage, tuition remission, employee discounts, and much more.

 

The University of Cincinnati, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a Contribution to Diversity and Inclusion statement.

 

As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).

 

The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / M / F / Veteran / Disabled.

 

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