Data Analyst, College of Liberal Arts
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Role details
Tech stack
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Job description
Work with the Dean and the various teams (Academic and Faculty Affairs, Career Services, Finance, Graduate Education, Human Resources, Research, Student Affairs) to provide support for College-level strategic, programmatic, and financial planning and forecasting through access, organization, analysis and reporting of data., * Generate, gather, and analyze data from University and external data systems and sources.
- Collect, merge, clean, document, and otherwise prepare data from multiple disparate sources to generate reports/analyses.
- Advise, identify measures, build infrastructure and framework for collection of key indicators, organize results and interpretation, and steward the successful submission of college-level assessments and student outcomes.
- Design and carry out data collection strategies from a general problem statement or objectives. Support automation of routine data processes to reduce manual effort and minimize the risk of errors in recurring data workflows.
- Prepare charts and graphs to facilitate presentation and interpretation of data. Develop data visualization strategies. Plan, develop and coordinate publication of annual statistical reports.
- Identify, explore, and document legacy and new sources for data. Research best practice and alternative solutions to current data management and analysis applications.
- Other related duties as assigned, The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length., Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
Requirements
Bachelor’s degree in quantitative social science or related field or experience. Proficiency in the MS Office Suite (particularly MS Excel), Python, R, and AI platforms (Claude, ChatGPT, and/or similar). Excellent verbal and written communication skills to clearly convey information in person, and over email. Ability and willingness to learn new systems and data sources as needed. Exhibit patience, attentiveness, knowledge, flexibility, trustworthiness, positivity, tenacity, guidance, and willingness to collaborate. Appreciation of confidentiality requirements surrounding the use of sensitive data.
Relevant education and experience may be substituted as appropriate. Preferred Qualifications
Demonstrated experience and success in retrieving, organizing and using data in a university setting. Experience working at UT Austin with thorough knowledge of university data systems. Experience and proficiency with other statistical or data processing software (such as STATA, SPSS, etc.). Ability to work with UT Mainframe (DEFINE) and other financial accounting systems, including Workday. Experience working with FileMaker Pro, Cognos, and Budget Update Document (BUD). Experience transferring data from UT Systems to desktop applications and data visualization applications. Salary Range, A criminal history background check will be required for finalist(s) under consideration for this position., * E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
Benefits & conditions
$62,500+ depending on qualifications Working Conditions
- May work around standard office conditions.
- Repetitive use of a keyboard at a workstation
- Use of manual dexterity
About the company
Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
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