IT Product Support Co-op: AI, Automation & Data

Flint Hills Resources

Wichita (KS)

On-site

USD 25,000 - 39,000

Part time

10 days ago

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Job summary

Flint Hills Resources in Wichita, KS, is seeking an IT Product Support Analyst Co-Op. You will troubleshoot data system issues, analyze root causes with IT and vendors, monitor critical data flows, and build useful documentation while applying AI tooling to automate processes.

You are pursuing a degree in IT/CS/MIS and are curious about why systems break, with foundational SQL skills and strong communication. Flexible 15–30 hrs/week, on-site schedule around classes.

Qualifications

  • Pursuing a degree or technical certificate in IT, CS, MIS, or related field.
  • Foundational SQL knowledge to read or write queries.
  • Able to explain technical issues clearly to non-technical stakeholders.
  • Genuine interest in AI tools and their potential.

Responsibilities

  • Troubleshoot and resolve issues related to data systems, data flows, and integrations.
  • Investigate root causes with IT teams, end users, and vendors for durable solutions.
  • Monitor alerts to protect data reliability and business processes.
  • Build and maintain documentation for the team and end users.
  • Leverage AI toolset to analyze problems and drive automation opportunities.
  • Collaborate with product teams on upcoming changes and supportability.
  • Develop understanding of how technology connects to business outcomes.

Skills

SQL basics
Strong communicator
Curious about AI/tools

Education

Information Technology, Computer Science, MIS, or related field

Tools

Python
TypeScript
.NET
Neo4j
AWS

Job description

Flint Hills Resources in Wichita, KS, is seeking an IT Product Support Analyst Co-Op. You will troubleshoot data system issues, analyze root causes with IT and vendors, monitor critical data flows, and build useful documentation while applying AI tooling to automate processes.

You are pursuing a degree in IT/CS/MIS and are curious about why systems break, with foundational SQL skills and strong communication. Flexible 15–30 hrs/week, on-site schedule around classes.

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