Learning Intelligence Analyst

Job Posting Title:

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Hiring Department:

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Position Open To:

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Weekly Scheduled Hours:

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Earliest Start Date:

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Position Duration:

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Job Details:

General Notes

Academic Affairs supports teaching and learning excellence, educational ventures, and strategic initiatives that broaden the effectiveness and extend the impact of the University's academic mission. The successful candidate will join a cross-campus team using learning data to support faculty and staff in understanding and improving student learning outcomes. We value people with a desire to learn new skills and a demeanor that views challenging problems as opportunities for insight.

The University of Texas at Austin provides an outstanding benefits package to staff, including:

• Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%)

• Vision, dental, life, and disability insurance options

• Paid vacation, sick leave, and holidays

• Teachers Retirement System of Texas (a defined benefit retirement plan)

• Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b)

• Flexible spending account options for medical and childcare expenses

• Training and conference opportunities

• Tuition assistance

• Athletic ticket discounts

• Access to UT Austin's libraries and museums

• Free rides on all UT Shuttle and Capital Metro buses with staff ID card

For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards

• This position provides life/work balance with typically a 40-hour work week.

• Must be eligible to work in the US on a full-time basis for any employer without sponsorship.

Purpose

We are seeking a learning intelligence analyst to join an Academic Affairs team that is passionate about enhancing the UT Austin student academic experience. This position will play a crucial role in leveraging data from the Canvas learning management system (LMS) and other learning technologies to drive continuous improvement in teaching, learning, and student success. It requires proficiency using quantitative methods, creative thinking about data schemas, expert data visualization skills, and an eagerness for effective and dynamic communications.

Responsibilities

• Collaborate with faculty, academic support staff, and instructional leaders to identify key questions and metrics that inform the design of data projects and services.

• Serve as a campus-wide subject matter expert on Canvas LMS data, providing actionable insights that support evidence-based decision-making.

• Extract, clean, and analyze learning data from the Canvas LMS and other sources to identify trends, patterns, and opportunities for instructional improvement.

• Create and continuously improve impactful and accessible data visualizations, dashboards, and reports using tools such as Tableau or Power BI to communicate key findings to diverse stakeholders.

• Ensure data integrity through rigorous and ethical data governance practices, documentation, and quality assurance testing.

• Stay current with advances in learning analytics and identify opportunities to leverage new data sources, methods, and tools to support institutional goals.

• It's possible that no single candidate will offer all desired qualifications - above all else, we're looking for someone with a foundation in data analytics and an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.

• Bachelor's degree in a quantitative discipline (e.g., social sciences, statistics, applied mathematics, economics) or commensurate experience or credentials.

• 2+ years of experience conducting data analysis in an educational context, ideally in higher education.

• Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts; proficiency with SQL-based languages; expertise with data visualization tools (Tableau, Power BI, etc.) for data analysis and presentation; proven ability to produce high-quality design solutions through wireframes, visual and graphic designs, and prototypes.

• Strong knowledge of data management best practices including data security, privacy, and governance; familiarity with accessibility standards for data visualizations and other forms of digital content.

• Excellent interpersonal and communication skills with the ability to translate technical concepts for non-technical audiences in speaking and in writing.

• Equivalent combination or substitution of relevant education and experience may be substituted as appropriate

• Master's degree in a relevant quantitative discipline.

• Demonstrated experience with data from Canvas, APIs, the Unizin Data Platform, or Google BigQuery.

• Demonstrated experience with Tableau, Microsoft Power BI, or similar applications.

• Familiarity with UT Austin's administrative computing environment.

• Familiarity with advanced statistical modeling and machine learning techniques.

• Knowledge of learning science, pedagogy, and instructional design principles.

• Demonstrated ability to manage complex data projects from ideation to implementation.

$76,000+ depending on qualifications

• Work performed in standard office conditions.

• Repetitive use of keyboard at a workstation.

• Resume/CV

• Three work references with their contact information, including email addresses; references submittedshould be professional and not personal, and at least one reference should be from a supervisor

• Letter of interest

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.

Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

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Retirement Plan Eligibility:

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English) [PDF]
• E-Verify Poster (Spanish) [PDF]
• Right To Work Poster (English) [PDF]
• Right To Work Poster (Spanish) [PDF]

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Compliance:

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.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.