Lead Administrator - BIS
University of Chicago
DepartmentF&A ITS - Analytics Intelligence Solutions
About the Department
IT Services collaborates with campus partners to support the mission of the University of Chicago through the consistent delivery of high-quality solutions and services.
• We provide secure, stable, and reliable infrastructure and applications to support the mission of the University.
• We support and enable faculty research and teaching with the effective use of technology.
• We simplify the technology experience for faculty, students, alumni, and staff, and we ensure technology is mobile-friendly and accessible.
• We identify, manage, and mitigate the technology risks of the University.
Lead Administrator - BIS for Chicago, IL location. Leads the development of Business Intelligence (BI) and other analytical applications. Works to achieve an integrated reporting and analysis environment, effectively leveraging analytical systems and tools. Leads requirements analysis, translating requirements into a scope document and developing reporting deliverables based on the design. Design architecture solutions and technical administration of analytic systems. Develop standards and procedures for executing code migrations. Works with users to ensure deliverables are meeting or exceeding expectations. Provides support and communicates issues to users as defined by IT standards. Monitors access control and troubleshoots BI and analytic applications. Provides expertise in planning, testing, and roll-out of patches and upgrades to the BI and analytic software. Solves complex problems in the development and interpretation of BI and analytics system standards and procedures. Technical Environment: Business Objects, Tableau, OBIEE, ODV, Data Services, Visio, MS Project, Oracle DB interfaces, SQL Server, ETL, DW.
Bachelor’s degree in Analytics, Information Systems, Information Technology or related field (will also accept a Bachelor’s degree in Business Administration with Analytics/SAS Certificate as related degree field) plus 7 years of progressive experience in the job offered, as Software Engineer or in business intelligence required. Required Skills: 4 years with each: Architecture design and technical administration with Business Objects, Tableau, and OBIEE/ODV/Data services; Visio; MS Project; Oracle DB interfaces; SQL Server; ETL.
Experience must include: Lead BI team; Developing standards and procedures for executing code migrations. Background check including review of conviction history required.
Work Schedule: Full time
The University of Chicago is an Affirmative Action/Equal Opportunity Employer.
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Requires Compliance with University Covid-19 Vaccination Requirement
Depends on Qualifications
Scheduled Weekly Hours
Job is Exempt
Drug Test Required
Motor Vehicle Record Inquiry Required
Health Screen Required
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The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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