The University of Texas at Austin · 14 hours ago
Data Analyst, Texas McCombs
The University of Texas at Austin is a leading institution known for its innovative approach to education. They are seeking a Data Analyst to manage data analytics and reporting for the career coaching teams, enhancing insights into student needs and employment trends.
Corporate TrainingEducationHigher EducationUniversities
Responsibilities
Collect, clean, and analyze large and complex data sets to identify trends, insights, and opportunities for improving services and programs
Strategize on making analyses easily repeatable and generalizable by other team members in the future by documenting methodology and validation
Manage employment data analytics for career coaching teams; lead all internal and external reporting requests. Requests include and are not limited to: outcome and employment data submissions, media requests, annual employment reports, reports to the Dean, employers, faculty, and department inquiries
Develop data visualization dashboards (via Power BI, Tableau, Smartsheet, etc.) that outline industry and function YOY trends, leveraging past employment data, and forecasted data from current student surveys. Trend analysis will provide career coaching teams with just-in-time analysis that can allow the teams to adjust content to meet dynamic student needs
Develop and implement processes to maintain, collect, link, and analyze data from various sources (e.g., Report McCombs, McCombs Analytics Reporting System), including internal and external systems, to produce strategic, operational, and tactical dashboards
Conduct surveys and other forms of data collection to assess student needs and satisfaction with services and programs
Ensure data quality and accuracy through regular audits and quality control measures
Stay up-to-date on industry trends and emerging data analysis and reporting technologies
Collaborate with colleagues across the college (e.g., Program Offices) to share data and insights and foster a culture of data-informed decision-making
Identify opportunities for data-driven innovation in Career Management, such as using artificial intelligence and machine learning
Use technical expertise to advise on procedure changes and platform functionality that support achieving CE&C’s outcome goals
Manage and maintain the technical aspects of McCombs Analytics Reporting System and/or Report McCombs, ensuring our systems operate at peak performance and according to industry best practices
Build KPI scorecard and tracking process for the CMCR department. Identify and track KPIs that define performance success across career coaching, employer/alumni partnerships, and recruiting operations teams. KPIs will tie to the annual goal setting and performance review process
Support the development of predictive models and statistical analyses to identify patterns and predict career outcomes
Qualification
Required
Bachelor's degree in a quantitative field such as statistics, mathematics, computer science, or a related field
3+ years of experience in data collection and analysis, with demonstrated proficiency in data analysis tools and software such as Excel, Tableau, or Power BI
Strong analytical and problem-solving skills, with the ability to work with large and complex data sets
Ability to communicate complex data insights and solutions to non-technical stakeholders clearly and compellingly
Strong organizational work skills, defining tasks, prioritizing assignments, and independently following through on all projects
Highly proficient with web-based resources, spreadsheets and presentation software required (MS Word, PowerPoint, Outlook, and Excel)
Experience conducting surveys and other forms of data collection, and familiarity with survey design and analysis
An entrepreneurial orientation and proven track record of taking the initiative and making things happen (i.e., self-starter)
Ability to work collaboratively in a team environment and to build strong relationships with colleagues and partners across the institution
Strong attention to detail/accuracy and ability to manage multiple priorities in a fast-paced and collaborative environment
Strong customer focus (ability to listen attentively to internal stakeholders to understand and respond positively to their requests) is required
Preferred
Knowledge of accreditation standards related to career services and student outcomes data
Deep knowledge of undergraduate and graduate level careers (specifically within Finance Services, Consulting, Technology, CPG (Consumer Packaged Goods), Retail, Manufacturing, and Transportation)
Master's Degree in Business Administration Data Science, Analytics, Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline and 4+ years of experience in data collection and analysis
Benefits
Retirement Plan Eligibility: 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.
Company
The University of Texas at Austin
The University of Texas at Austin is one of the largest public universities in the United States.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Republic Capital Group
2022-09-14Series Unknown
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