Posting number: 190783
Department: Orangeburg-Calhoun Technical College
Division: Academic Affairs
Job classification: Database Specialist
Posting type: Open & Promotional
Categories: Database Administration
Under the Director of Institutional Effectiveness, the Data & Reporting Coordinator will support institutional research processes by collecting data from departments college-wide, utilizing computer programs to manipulate and process data, and compiling various reports for internal and external stakeholders. To successfully accomplish these goals, the Data & Reporting Coordinator will have strong data collection, data analysis, mathematical and related computer software skills as well as strong interpersonal and communication skills.
Solicits and collects data from departments college - wide; utilizes computer program procedures to perform data collection and mathematical analysis.
Works with the Director of Institutional Effectiveness to compile and manipulate data for reports mandated by state and federal agencies and requested by college faculty, staff, and administrators.
Maintains effective relationships with departments college - wide who have access to relevant institutional data; develops and sustains data collection processes that result in the timely submission of data to internal and external stakeholders.
Serves as Liaison between the Director of Institutional Effectiveness and the academic and staff divisions of the college, including training on new software and report writing.
Remains up to date on best practices in data collection and analysis, reporting guidelines for mandated reports, and College systems, processes, and personnel related to the effective collection and presentation of data.
Manages and maintains the Informer database.
A high school diploma and work experience in systems development and maintenance, technical support, or database management systems support. A bachelor's degree in a related field may be substituted for the required experience.
Must be proficient in SQL, including Aggregations, Joins, CTEs, and Window Functions. Python experience is not required but is strongly preferred, including working with DataFrames, reading/writing files, and basic data transformation and analysis tasks.
Ability to handle multiple responsibilities, work quickly, manage multiple tasks and work independently with a commitment to detail and accuracy to bring tasks to conclusion.
Have the ability to assess technology and make recommendations. Ability to develop and maintain historical data files. Develop expertise in comparative data from other institutions. Required knowledge of Colleague and Microsoft Office Suites. Optional/Additional Requirement of Campus Labs software
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