Edtech.com's Summary

University of Texas at Arlington is hiring a Senior Data & Automation Analyst to build dashboards, analytics, and automated workflows for the Office of Research and Innovation. The analyst works as a hands-on individual contributor, turning research-office business processes and enterprise data into trusted reporting that supports better decisions. Acting as a bridge between enterprise systems and ORI units, centers, and institutes, the role also brings generative AI and low-code tools into everyday operations.

Highlights

Design, build, and deploy interactive dashboards, analytics solutions, and automated workflows that streamline ORI operations and support evidence-based decisions.
Gather reporting requirements from ORI leaders and business owners, then work with ORI and OIT analysts and architects to design the reporting data models behind them.
Champion generative AI tools, prompt-assisted data manipulation, and low-code technologies to eliminate manual repetitive steps and draft automated documentation.
Audit, catalog, and label operational transaction records so they migrate cleanly into enterprise data repositories and Databricks schemas.
Evaluate and revise data models for accuracy and performance, and act as an operational data steward across Sponsored Programs and Research Data Governance.
Document field definitions, business logic, and standard operating procedures, and keep SOPs, FAQs, and how-to guides for AI-assisted tools aligned with OIT AI team standards.
Requires a bachelor’s degree in business, mathematics, data science, computer science, information systems, or a related field plus three years with business intelligence tools or data warehouse applications, or seven years of equivalent education and experience.
Needs two years of advanced work designing reports and visualizations in warehouse reporting tools such as Oracle, Microsoft, Tableau, Power BI, or SAS, along with experience gathering reporting requirements from executive and operational stakeholders.
Preferred experience includes Microsoft Power Automate workflows and dashboards for grants management or research operations.
The posted salary range is $78,000 to $114,000 per year, on a hybrid schedule of Monday through Friday, 8:00am to 5:00pm.

Senior Data & Automation Analyst Full Description

Salary

The annual salary for this position ranges from $78,000 to $114,000. 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

Designs, builds, and deploys interactive dashboards, analytics solutions, and automated workflows that streamline operations and drive evidence-based decision-making.
Interacts with ORI Leaders and other business owners to identify reporting needs and requirements.
Works with other ORI and/or OIT analysts/architects to design and implement reporting data models to support ORI reporting needs.
Champions 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.
Audits, catalogs, and labels operational transaction records to facilitate clean migration into enterprise data repositories and Databricks schemas.
Evaluates/revises data models for accuracy and performance efficiency.
Acts as an operational data steward by documenting field definitions, business logic, and standard operating procedures, ensuring consistency across Sponsored Programs and Research Data Governance.
Maintains accurate, well-organized SOPs, policy summaries, FAQs, and how-to guides for AI-assisted tools.
Ensures 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 and experience.
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 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.

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.
Experience working with Fact/Dimension Tables, Data Cubes for Data Analytics, and AI models for forecasting.

Work Schedule

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

Hybrid work environment (remote & office).

Working Conditions

May work around standard office conditions.
Repetitive use of a keyboard at a workstation.

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 [email protected].

Let me find your next job.

Thanks - you're signed up.

Senior Data & Automation Analyst

Edtech.com's Summary

Senior Data & Automation Analyst Full Description

Data Engineer Senior

Enterprise Data Architect 3, Digital Technology Solutions

Senior Data & Automation Engineer

Program Director of Enrollment Management Research & Analytics

Senior Data Architect - School of Medicine