Data Automation Specialist

University of Louisiana, Lafayette; Arbolada Addition (LA); On-site; USD 80,000 - 110,000; Full time

Job summary

University of Louisiana at Lafayette is seeking a Data Automation Specialist to design, develop, and maintain automated workflows using SAS and Python, ensuring reliable data processing and scalable reporting across departments.

The role involves integrating automation with APIs, databases, and existing infrastructure, collaborating with cross-functional teams to identify automation opportunities, and maintaining thorough documentation of code and processes.

Qualifications

• Bachelor’s degree in computer science, statistics, mathematics, or related field.
• Demonstrated experience in Python programming with a focus on automation.

Responsibilities

• Design, develop, test, and maintain automated workflows using SAS or Python, or both, in order to streamline data processing and reporting as well as optimize business workflows.
• Integrate automation solutions with APIs, databases, third-party systems, and existing infrastructure.
• Collaborate with cross-functional teams to define automation needs and implement effective solutions, as well as 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.
• Continuously 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.

Skills

Automation

Data analysis

Problem solving

Communication

Independent work

Education

Bachelor's degree

Master's degree (preferred)

Tools

Python

SAS

SQL

NoSQL

Selenium

PyAutoGUI

Robot Framework

RESTful APIs

Job description

Position Title: Data Automation Specialist

Department: 9030|IRI-Tech Transfer

Responsibilities

The InformaticsResearch Institute at the University of Louisiana at Lafayette is looking for adetail-orientedData Automation Specialistwith expertise inboth SAS and Python to design, develop, and maintain automated solutionsthat support our data analytics and reporting needs. This role involves workingacross teams to identify opportunities for automation, reduce manualintervention, and ensure the reliability and scalability of data systems. Theideal candidate will have experience in automation using SAS and Python, stronganalytical and problem-solving skills, and the ability to collaborateeffectively with cross-functional stakeholders.

The Data AutomationSpecialistwill report to the Chief Technology Officer of the InformaticsResearch Institute.

Duties and Responsibilities

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

Qualifications

Required Qualifications

• Bachelor’sdegree in computer science, statistics, mathematics, or related field.
• Demonstratedexperience in Python programming with a focus on automation.

Preferred Qualifications

• Experiencewith:
  • SAS macros, batch processing, andscheduling tools (e.g., Cron, Control-M).
  • Automation tools and libraries such asSelenium, PyAutoGUI, Robot Framework, or similar.
  • SAS Enterprise Guide, SAS Studio, orSAS Viya.
  • RESTful APIs, data integration, and webscraping.
• Familiaritywith scripting (e.g., Shell) and working knowledge of both SQL and NoSQLdatabases.
• Master’sdegree in computer science, statistics, mathematics, or related field.

Skills, Knowledge,Abilities, Etc.

• Knowledgeof database systems and SQL.
• Knowledgeof version control systems (e.g., Git).
• Abilityto work independently.
• Abilityto troubleshoot and optimize complex automated workflows.
• Stronganalytical and problem-solving skills.
• Excellentcommunication skills to work effectively with technical and non-technicalstakeholders.

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