Senior Data & Automation Engineer

University of Texas at Arlington; Arlington (TX); Hybrid; USD 86,000 - 116,000; Full time

Job summary

The University of Texas at Arlington seeks a Senior Data & Automation Analyst to lead data visualization, analytics, and workflow automation for the Office of Research and Innovation. This hands-on builder translates business workflows into automated solutions that improve decision-making and efficiency.

Collaborate with ORI leaders and IT to design data models, adopt AI tools, and ensure governance across research operations and enterprise systems.

Qualifications

• Bachelor’s degree in a relevant field and 3 years of BI/data warehouse experience or 7 years total experience.
• Experience gathering and documenting reporting requirements from executives and operations.
• 2+ years of warehousing reporting tools to design reports/visualizations (Oracle, Microsoft, Tableau, Power BI or SAS).

Responsibilities

• Design, build, and deploy interactive dashboards, analytics, and automated workflows.
• Interact with ORI Leaders to identify reporting needs.
• Design reporting data models to support ORI reporting needs.
• Champion adoption of AI and low-code tools to automate tasks.
• Audit, catalog, and label operational transaction records for data migration.
• Evaluate data models for accuracy and performance.
• Document field definitions, business logic, and SOPs for governance.
• Maintain SOPs, policy summaries, FAQs, and AI tool guidance.
• Ensure content is current and properly tagged per governance standards.
• Performs other duties as assigned.

Skills

Oracle/SQL

Reporting tools

Communication skills

Information systems

Office/SharePoint

Agile Scrum

Education

Bachelor’s degree in Business Administration, Mathematics, Data Science, Business Analytics, Computer Science, Information Systems, or a related field

Tools

Power Automate

Tableau/Power BI

Databricks

SAS

Job description

Salary

The annual salary for this position ranges from $86,200 to $115,800. The final offer will be commensurate with the candidate’s relevant experience and qualifications.

Documents Needed to Apply

Required:

• Resume
• Cover letter
• References (minimum of three)

Purpose of Position

The Senior Data & Automation Analyst leads the development of data visualization, analytics, and workflow automation for the Office of Research and Innovation (ORI). This role is a hands-on builder who translates business workflows and data into trusted, automated solutions that improve decision-making and operational efficiency. Serving as a vital bridge between enterprise systems and ORI units, centers, and institutes, the analyst aligns front-line processes with modern analytics and automation tools. Operating as an individual contributor, the role prioritizes high-impact initiatives that advance the research enterprise as a whole.

Essential Functions

• Design, build, and deploy interactive dashboards, analytics solutions, and automated workflows that streamline operations and drive evidence-based decision-making.
• Interact with ORI Leaders and other business owners to identify reporting needs and requirements.
• Work with other ORI and/or OIT analysts/architects to design and implement reporting data models to support ORI reporting needs
• Champion the adoption of generative AI tools, prompt-assisted data manipulation, and modern low-code technologies to eliminate manual repetitive steps, transform data tables, and draft automated documentation.
• Audit, catalog, and label operational transaction records to facilitate clean migration into enterprise data repositories and Databricks schemas.
• Evaluate/revise data models for accuracy and performance efficiency.
• Act as an operational data steward by documenting field definitions, business logic, and standard operating procedures, ensuring consistency across Sponsored Programs and Research Data Governance.
• Maintain accurate, well-organized SOPs, policy summaries, FAQs, and how-to guides for AI-assisted tools.
• Ensure content is current, consistently formatted, properly tagged, and aligned with OIT AI team requirements and governance standards.
• Performs other duties as assigned.

Required Qualifications

• Bachelor’s degree in Business Administration, Mathematics, Data Science, Business Analytics, Computer Science, Information Systems, or a related field and three (3) years of experience working with business intelligence tools and/or data warehouse applications, OR seven (7) years of any equivalent combination of education, experience and training.
• Experience to include intermediate to advanced level of experience gathering and documenting reporting requirements from stakeholder meetings at executive and operational levels and two (2) years of advanced level in warehousing reporting tools to design reports/visualization tools like Oracle, Microsoft, Tableau, Power BI or SAS.

Preferred Qualifications

• Three (3) years of advanced experience in data analysis, data warehousing, business requirements and work with data warehousing applications or equivalent experience.
• Experience with Microsoft Power Automate for designing and deploying automated workflow solutions.
• Direct professional experience in building data visualizations and dashboards for grants management or research operations.
• Prior experience or personal experimentation using AI agents or automated workflow builders to optimize day-to-day tasks.
• Experience working with Fact/Dimension Tables, Data Cubes for Data Analytics, and AI models for forecasting.

Knowledge, Skills & Abilities

• Demonstrate knowledge working with Oracle/SQL databases
• Knowledge of 4th generation reporting tools such as Oracle, Microsoft, Data Warehousing Models to produce reports and data driven reporting/visualization requests.
• Excellent communication skills, attention to detail, and documentation skills.
• Ability to work with information systems for students, researchers, and staff.
• Microsoft Office Suite, Visio, Microsoft Teams, and SharePoint.
• Knowledge of Agile Scrum Methods for projects.

Work Schedule

Monday through Friday; 8:00am through 5:00pm

Hybrid eligible.

Working Conditions

• May work around standard office conditions.
• Uses standard office equipment.

Benefits Information

Position is benefit eligible: Yes

We are proud to offer a comprehensive benefits package to our employees at the University.

PreEmployment Background Check

It is the policy of The University of Texas at Arlington to conduct a pre employment background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA 48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.

EEO Statement

It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University’s compliance with this policy.

ADA Accommodations

The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email [e-mail].