Analytics Engineer

Remote (United States) Austin, TX

data architecture analytics data engineering

Job Posting Title:

Analytics Engineer

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Hiring Department:

Data to Insights

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Aug 31, 2026

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Location:

Texas

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Job Details:

General Notes

The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions.

As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university’s mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. We actively seek diversity of viewpoint and perception in our student, faculty, and staff recruiting and retention practices. If you’re the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin. Please note that this position is currently funded through August 31, 2026.

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 requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses).

Purpose

We are seeking an Analytics Engineer to join the D2I Analytics team. As an Analytics Engineer, you operate at the intersection of data analytics, data engineering, and business intelligence to build robust, efficient, and scalable data structures to support high-quality, nuanced, and timely data analytics to empower strategic decisions and policies by University leadership and stakeholders.

Responsibilities

Data Analytics & 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.

Analytical Architecture

In collaboration with reporting manager:

Assists with diagramming analytics architecture strategy and roadmap, as well as translating strategy into actionable tasks.
Coordinates the development, promotion, and implementation of select best practices in analytics architecture and data engineering – examples include coding conventions, naming standards for analytical structures, performance tuning, review checklists.
Engages in exploration, evaluation, and implementation of new/improved tools, features, and/or processes, to scale up analytics architecture – including possible transition to an ETL tool.

Collaboration, Communication, & Institutional Knowledge:

Works both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.
Participates in the 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.
Consult with data analysts on specific data and coding questions within and outside of the team.
Handles confidential information with tact and discretion.

Required Qualifications

Bachelor’s degree with quantitative experience or at least 4 years of professional experience in information technology or related field.
Demonstrated passion for using data to answer questions and solve problems.
Demonstrated proficiency 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 effectively with a wide range of stakeholders to gather data requirements and produce appropriate analysis.
Excellent interpersonal skills to positively contribute to collaborative team, influence without authority, and thoughtfully and productively give and receive feedback.
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, documentation habits, and attention to detail.
Demonstrated ability to maintain a high level of professionalism.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Experience working in Amazon Redshift and PostgreSQL environments.
Expert in SQL database design for the purposes of scaling and supporting business intelligence and analytical needs.
Experience with developing and scheduling ETL workflows, preferably with Informatica.
Experience working with Enterprise Data Models.
Experience using R/Quarto for data analysis.
Experience in higher education administration, programming, or analysis. Interest in higher education data, processes, and progress.
Broad and deep knowledge of UT software and data systems.
Familiarity with UT Austin's administrative computing environment.
Knowledge of federal education law and policies related to education records.
Experience with metadata management software.
Experience using Agile methodologies.

Salary Range

$90,000 + depending on qualifications

Working Conditions

Typical office environment
Repetitive use of a keyboard
Occasional extended work hours or on-call obligation
Up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence.

Required Materials

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.

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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.

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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:

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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.