Data Analytics Engineer, College of Natural Sciences
University of Texas - Austin · UT MAIN CAMPUS ·
- Employment
- Contract
- Category
- Data analytics
University of Texas - Austin · UT MAIN CAMPUS ·
University of Texas at Austin · UT MAIN CAMPUS
University of Texas at Austin · UT MAIN CAMPUS
University of Texas at Austin · UT MAIN CAMPUS
University of Texas at Austin · UT MAIN CAMPUS
Job Posting Title:
Data Analytics Engineer, College of Natural Sciences----
Hiring Department:
College of Natural Sciences----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
40----
FLSA Status:
Exempt from FLSA----
Earliest Start Date:
Oct 01, 2026----
Position Duration:
Expected to Continue----
Location:
UT MAIN CAMPUS----
Job Details:
This position is not eligible for employer-sponsored work authorization. Applicants must be authorized to work in the United States for any employer now and in the future without sponsorship.
The College of Natural Sciences at UT Austin, strives to foster a work environment that enables all employees to contribute at the highest possible level to support the mission of the University. What starts here really does change the world. For more information about the College of Natural Sciences, please visit . The university also offers an impressive benefits package. For more information, see Prospective Employee Benefits.
The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decision‑making across academic, research, and administrative functions of the university. This role plays a key part in managing and integrating data across multiple environments, including combining local data with central campus datasets within the UT Data Hub framework.
Working closely with academic units, central offices, researchers, and IT partners, this position translates institutional needs into robust, efficient, and scalable data structures while operating within university data governance, privacy, and compliance requirements.
Data Analytics and Data Engineering
Develops, codes, validates, and implements relational databases and integrated data structures that support analytics.
Collaborates with functional partners to collect business requirements and develop and refine business logic.
Collaborates with technical partners to locate, clean, and orchestrate source data.
Crafts code for the translation and transformation of functional business logic into a high-scale database environment that can readily support the production of descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other tools to support University decision-making.
Understands how to best design database structures for meaningful data visualizations and interactive tools.
Engages in best practices in data analytics and data engineering - including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough documentation, and automation and streamlining of data processing pipelines.
Applies creativity and flexibility to finding solutions for new institutional data challenges.
Assists with special projects and ad hoc data requests as needed.
Collaboration, Communication, & Institutional Knowledge
Works both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.
Participates in data project lifecycle - from conception, requirements gathering and design, documentation, development and testing through deployment.
Engages and communicates with partners and stakeholders to manage requests, expectations, and deliverables.
Effectively communicates project status, progress, risks, and issues to drive project to completion.
Develops an in-depth knowledge of university data processes and technologies.
Handles confidential information with tact and discretion.
Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.
Strong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data.
Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.
Proven ability to synthesize complex and/or ambiguous information from multiple sources using a variety of tools and techniques to transform that information into consumable insights.
Ability to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting.
Proven prioritization and organizational skills with the ability to handle multiple projects simultaneously.
Excellent written and verbal communication skills, critical thinking and creative problem-solving, and attention to detail.
Demonstrated ability to maintain a high level of professionalism.
Relevant education and experience may be substituted as appropriate.
Experience working in a higher education or research environment.
Familiarity with institutional data domains (e.g., student, enrollment, research, finance, HR).
Experience working with cloud data platforms or analytics services and PostgreSQL environments.
Experience supporting business intelligence or analytics tools (e.g., Power BI, Tableau).
Knowledge of data governance, stewardship, and compliance in higher education.
Experience collaborating across decentralized organizations.
Familiarity with UT Austin's administrative computing environment.
Experience with metadata management software.
$80,000 + depending on qualifications
May work around standard office conditions.
Repetitive use of computer equipment.
Hybrid/flex work options available
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Important for 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 that ALL Required 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 questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.----
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.----
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:
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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.
University of Texas at Austin · UT MAIN CAMPUS