Senior Data & Automation Engineer: Dashboards & AI

UT Tyler

Arlington (TX)

Hybrid

USD 86,000 - 116,000

Full time

5 days ago
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Job summary

The University of Texas at Arlington is seeking a Senior Data & Automation Analyst to lead data visualization and automation initiatives for the ORI. You will build dashboards, develop data models, and deploy automated workflows that improve decision-making and operational efficiency.

This hands-on role collaborates with ORI leaders, engineers, and business owners to translate complex processes into scalable, AI-assisted solutions while maintaining governance and documentation standards across

Qualifications

  • Bachelor’s degree in a related field plus 3 years of experience with BI tools and data warehousing, or 7 years equivalent.
  • Two years of advanced warehousing reporting tools experience to design reports/visualizations (Oracle, Microsoft, Tableau, Power BI, SAS).

Responsibilities

  • Design, build, and deploy dashboards, analytics, and automated workflows.
  • Interact with ORI Leaders to identify reporting needs.
  • Design reporting data models to support ORI needs.
  • Champion AI tools and low-code automation to reduce manual steps.
  • Audit and label operational records for migration to data repositories and Databricks schemas.
  • Evaluate data models for accuracy and performance.
  • Document field definitions, business logic, and SOPs for governance.
  • Maintain SOPs, policy summaries, FAQs and guides for AI tools.
  • Perform other duties as assigned.

Skills

Requirements gathering
Reporting tools experience

Education

Bachelor’s degree and 3+ years BI/ETL experience
7+ years equivalent combination

Tools

Power Automate

Job description

The University of Texas at Arlington is seeking a Senior Data & Automation Analyst to lead data visualization and automation initiatives for the ORI. You will build dashboards, develop data models, and deploy automated workflows that improve decision-making and operational efficiency.

This hands-on role collaborates with ORI leaders, engineers, and business owners to translate complex processes into scalable, AI-assisted solutions while maintaining governance and documentation standards across

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