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Central Carolina Technical College seeks a data analytics leader to coordinate college-wide data strategies and analytics initiatives. The role guides data-driven decision making across academic and student services, ensuring data integrity for reporting to state and federal entities.
Responsibilities include expanding the analytics platform, managing student surveys, and supervising the Statistical and Research Analyst.
This is an on-site position; remote or hybrid work arrangements arenot offered at this time. Establishes and maintains coordination ofthe data required to support academic, student services, andreporting functions, projects, and initiatives for the College.Responds to requests for data in a timely manner. Leads thecreation of a college-wide data analytics vision and strategy incollaboration with college leadership to ensure consistentdefinitions and application of data in supporting the College’sgoals and priorities. Ensures data used for reporting to local,state, and federal entities is accurate, reliable, traceable,timely, consistent, and secure. Identifies and integrates internaland external data sources to provide additional quality andcost-effectiveness for enhanced analytics and innovation throughoutthe College. Expands the College’s research and analytics platformfocusing on new, emerging, and innovative approaches in supportinga more robust digital business model. Manages the College's surveyprocess for gathering data on the student population and theirlevel of engagement and satisfaction with the institution. Managesthe College's survey process to assess the student evaluation ofinstruction. Establishes and maintains strong collaborative workingrelationships within the institution to support sound decisionmaking through the utilization of data. Provides updates to ELT oncollege-wide performance. Serves on college teams and committees.Supervises the Statistical and Research Analyst.
A bachelor's degree and professional experience as a planner,researcher or statistician. A master's degree in statistics or arelated discipline may be substituted for the required workexperience.
Experience with data visualization, SQL programming language, andbusiness intelligence software.