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Title: Programmer/Analyst Assessment
Job Listing: 00272P
Summary: Develops, tests, and maintains software to support analysis of, organization of, and access to assessment data for Library Administration for purposes of data-driven decision making and accountability. Develops and maintains automated ETL (extract-transform-load) processes for collecting and consolidating library use data from a variety of sources, including Qualtrics, web site analytics tools, people counting devices, the library management system, digital repository systems, and vendor systems.
Works to create and maintain a repository for library use data, automated mechanisms for gathering use data from a variety of sources, and dashboards and reporting tools to support use of the data by librarians, staff, and administrators for decision support. Coordinates with appropriate UITS staff to leverage enterprise tools and ensure that library use data is aligned with other university data sources.
Qualifications: Review your qualifications prior to applying to ensure that you meet the minimum qualifications for the position. Resume and cover letter required
Required: Bachelor’s degree in computer science, information science or related field and three years in software development and design and implementation of relational database structures.
Combinations of related education and experience may be considered. Demonstrated knowledge of relational database design and programming, including use of MySQL, Oracle, and/or Microsoft SQL Server; and proven skill in programming of complex software systems, including use of Ruby, Java, Python, and/or Perl, and use of web services APIs. Experience with XML and related technologies; ability to work in Unix/Linux and Windows environments; and skill in writing programs to parse/map data from one structure to another. Excellent interpersonal, written and verbal communication skills including ability to interact and communicate effectively with a wide variety of individuals. Strong organizational and multitasking skills including ability to manage multiple priorities and consistently meet deadlines.
Preferred: Knowledge of data warehouse structures, web analytics tools such as Google Analytics, reporting tools such as Tableau; experience with Denodo, Open Refine, and Qualtrics; experience with academic library systems and services.
Indiana University is an Equal Opportunity/Affirmative Action Employer committed to excellence through diversity. Indiana University has a strong commitment to principles of diversity and in that spirit seeks a broad spectrum of candidates with diverse cultural backgrounds. For more information about Indiana University Bloomington go to www.indiana.edu.