Data Automation Specialist

University of Louisiana at Lafayette•Lafayette, LA

About The Position

The Informatics Research Institute at the University of Louisiana at Lafayette seeks a detail-oriented Data Automation Specialist with expertise in SAS and Python. The role designs, develops, and maintains automated solutions for data analytics and reporting, working across teams to identify automation opportunities, reduce manual intervention, and ensure data systems are reliable and scalable. The position reports to the Chief Technology Officer of the Informatics Research Institute.

Requirements

Bachelor’s degree in computer science, statistics, mathematics, or a related field.
Demonstrated experience in Python programming with a focus on automation.
Knowledge of database systems and SQL.
Knowledge of version control systems such as Git.
Ability to work independently.
Ability to troubleshoot and optimize complex automated workflows.
Strong analytical and problem-solving skills.
Excellent communication skills to work effectively with technical and non-technical stakeholders.

Nice To Haves

Experience with SAS macros, batch processing, and scheduling tools such as Cron or Control-M.
Experience with automation tools and libraries such as Selenium, PyAutoGUI, Robot Framework, or similar.
Experience with SAS Enterprise Guide, SAS Studio, or SAS Viya.
Experience with RESTful APIs, data integration, and web scraping.
Familiarity with scripting such as Shell and working knowledge of SQL and NoSQL databases.
Master’s degree in computer science, statistics, mathematics, or a related field.

Responsibilities

Design, develop, test, and maintain automated workflows using SAS, Python, or both to streamline data processing and reporting and optimize business workflows.
Integrate automation solutions with APIs, databases, third-party systems, and existing infrastructure.
Collaborate with cross-functional teams to define automation needs, implement solutions, and identify potential automation opportunities.
Monitor, troubleshoot, and optimize scheduled jobs and automation scripts.
Maintain thorough documentation of automation processes, system configurations, and codebases.
Ensure data integrity and compliance with internal and external data governance standards.
Write clean, maintainable, and well-documented code.
Research and implement new tools and techniques to improve automation and scripting.
Monitor automation processes and provide timely reports on their performance and issues.
Perform additional duties as assigned.