Opening
Full Time 40 hours Range URG 106 Purchasing
Schedule
8 AM-5 PM
Responsibilities
GENERAL PURPOSE:
Supports the evaluation, implementation and support of Procurement systems including maintenance of master data in these systems. Analyzes, diagnoses, and resolves Procurement system issues. Supports development of methods for University of Rochester purchasing data collection, analysis, and reporting for the University of Rochester and affiliate organizations. Assists with the creation of presentations and reports based on findings, which includes collating, modeling, interpreting and analyzing data. Collects data requirements, analyzes data, and designs ad-hoc reports. Collects, analyzes and documents business requirements and supports translation into function and system requirement specifications.
RESPONSIBILITIES:
- Supports the identification, evaluation, recommendation, implementation, and support of procurement systems consistent with requirements of the University of Rochester stakeholders. Makes recommendations concerning use of procurement resources and management of systems. Assists with tracking and compiling of comprehensive business metric data for evaluating effectiveness of programs, processes, or practices. Updates and maintains the integrity of purchasing supplier and catalog item master data on an ongoing basis consistent with University of Rochester policies.
- Collects requirements and designs reports to meet data analysis needs. Assists in the preparation of detailed documentation and/or reporting, in the case of external audit. Supports audit process and assists with compilation of required documentation.
- Analyzes, diagnoses and resolves Purchasing System issues experienced. Provides education/training on process flows, system usage, and generation and/or interpretation of data, and application of data to decision making to improve organizational efficiency and outcomes.
- Consults with user groups to assess data preparation and data management needs, program design, and general user interface testing. Supports the evaluation of new technology and resources, and the impact of those new technologies, for improving data outcomes.
- Assists in the development of standard operating procedures, process maps, code manuals and project plans for all major reporting projects, as needed.
Other duties as assigned
QUALIFICATIONS:
- Bachelors Degree in statistical analysis, data base management, or related discipline required
- 1 year of experience with data analysis or customer resource management systems required
- Equivalent combination of education and experience required
- Strong attention to detail required
- Strong organizational, data analysis and problem-solving skills required
- Familiarity with statistics and statistical analysis preferred
- Advanced knowledge of Microsoft Excel preferred
- Ability to visually portray data preferred
The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the Universitys mission to Learn, Discover, Heal, Create and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled
Pay Range
Pay Range: $44,419 - 62,186 Annually
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.