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The University of North Carolina at Chapel Hill

Finance & Data Analyst Job at The University of North Carolina at Chapel Hill in

The University of North Carolina at Chapel Hill, Chapel Hill, NC, US, 27517

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Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009447 Salary Range: Dependent on Experience and/or Qualifications Position Summary/Description This position may be eligible for a hybrid work arrangement that may include a partially remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. Key Duties Data Analytics and Financial Modeling Support: Design and develop financial modeling, data visualization, and business intelligence solutions to support budgeting, reporting, and planning. Collaborate with the IT team to implement systems that improve data analysis capabilities and support financial decision‑making. Financial and Budget Report Development: Prepare and analyze financial and budget reports to monitor compliance, regulatory requirements, and performance. Provide reporting solutions that support operational and business decisions across the college. Business Process Improvement and Implementation: Lead projects to test and implement new business processes related to finance, budgeting, and reporting, ensuring that these processes are optimized for efficiency and accuracy. Collaboration and Support: Serve as a liaison between finance and IT teams, ensuring that systems and processes are aligned with the college's strategic goals. Provide technical expertise and data management solutions to support financial, human resources, and operational needs. Leadership in Data Strategy: Support the development and implementation of a shared data strategy to enhance the college's data infrastructure. Work independently and with key stakeholders to drive improvements in financial and budget processes. Education and Experience Knowledge of higher education finance and business operations. General knowledge of academic structures and familiarity with non‑financial data sources. Essential Skills Data Analysis Expertise: Demonstrate experience and confidence in independently extracting, manipulating, analyzing, interpreting, and documenting large complex data sets. Must have in‑depth experience using a business intelligence reporting environment (Tableau preferred, SAS VA, OBIEE, Business Objects, other), creating complex reports, and interacting with financial, HR, or other operational data sources. Technical Knowledge: Extensive knowledge and skill with database and applications systems analysis and programming. Detailed understanding of technical issues to design systems and reporting. Detailed knowledge of design, programming and reporting tools used in complex data environments, and ability to support development of sophisticated data solutions. Technical Support: Extensive ability to solve problems of very high complexity and serve as a key resource to others. Planning & Organizing: Ability to plan and organize day‑to‑day work and adapt workload, if necessary, due to unanticipated changes. Project Management: Ability to lead complex projects involving multiple staff across specialty areas. Consulting: Translates market and industry trends to communicate and provide consultation on issues and requests from clients that require the implementation or creation of a custom solution. AA/EEO Statement The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities. #J-18808-Ljbffr