IT Operations Analyst

General Motors • Austin, TX

2d • Hybrid

About The Position

General Motors is seeking a detail-oriented, data-driven IT Operations Analyst to help modernize application operations using data-driven insights, statistical methods, Agentic AI, automation, and process improvement. The role supports business-critical applications and operational processes across dealer operations, vehicle engineering, finance, purchasing, supply chain, and other business functions.

The analyst helps maintain the stability, reliability, and accuracy of applications and operations through production support, incident triage, data validation, operational monitoring and reporting, release verification, and application health assessment. A significant focus is identifying patterns, recurring issues, repetitive work, and opportunities to use data, Agentic AI, automation, and process improvements to improve operational efficiency, reliability, and support quality.

The role collaborates with application engineers, database administrators, infrastructure teams, business analysts, and business stakeholders. Complex technical issues are escalated to appropriate engineering or subject-matter experts. Prior professional IT Operations experience is not required; coursework, projects, internships, certifications, research, and other practical experience can provide a foundation for success.

The position is hybrid, with the successful candidate expected to report to either Austin, Texas, or Warren, Michigan, three days per week (Tuesday through Thursday).

Requirements

• Bachelor's degree in Information Systems, Computer Science, Information Technology, Engineering, Data Science, Statistics, Economics, Econometrics, Finance, Mathematics, Business Analytics, or a related technical, quantitative, or business field.
• Strong quantitative and problem-solving foundation, including the ability to interpret data and identify patterns, trends, anomalies, relationships, and improvement opportunities.
• Coursework, academic projects, internships, certifications, or practical exposure to one or more of SQL, Python, R, PowerShell, Shell/Bash, or comparable programming, scripting, statistical, or data tools.
• Exposure to generative AI, Agentic AI, prompt engineering, machine learning, or workflow automation through coursework, projects, certifications, internships, independent learning, or practical application.
• Familiarity with statistical methods, forecasting, data interpretation, or other quantitative methods used to investigate problems and support data-driven decision-making.
• Familiarity with reporting or visualization tools such as Power BI, Tableau, Excel, Power Query, or comparable platforms.
• Ability to synthesize information from multiple sources and translate findings into clear insights, recommendations, dashboards, reports, or actions.
• Strong problem-solving, organizational, written, and verbal communication skills, and ability to quickly learn unfamiliar technologies and business processes.
• Ability to collaborate effectively with technical and business teams and willingness to learn enterprise applications, IT Operations, monitoring, incident management, and production-support practices.
• Strong attention to detail and commitment to data quality, accuracy, responsible AI use, and appropriate protection of information.
• Willingness to support production operations and work non-traditional hours or night shifts when required.
• Prior professional IT Operations experience is not required.
• Must not require GM immigration-related sponsorship now or in the future.

Nice To Haves

• Coursework, projects, internships, certifications, or research involving data analytics, statistics, forecasting, machine learning, emerging technologies, automation, or quantitative methods.
• Experience using Python, SQL, R, Power BI, Tableau, Excel, Power Query, or PowerShell through academic, internship, certification, research, or personal projects.
• Experience creating dashboards, quantitative models, forecasts, automated reports, AI agents, or automated workflows.
• Exposure to Agentic AI, prompt engineering, AI-assisted data exploration, or business-process automation, including validation of AI-generated outputs and responsible-use practices.
• Familiarity with business processes and applications and interest in how technology, data, and operational workflows support finance, engineering, purchasing, supply chain, dealer operations, and other business functions.
• Exposure to Windows, Linux, databases, cloud technologies, APIs, application monitoring, observability, or other enterprise technology environments.
• Strong interest in applying data, statistical methods, intelligent automation, and emerging technologies to IT Operations to identify patterns, reduce repetitive work, improve decision-making, and increase operational reliability and efficiency.

Responsibilities

• Support and monitor business-critical applications and operational processes across multiple business units using alerts, logs, dashboards, job results, reports, and system metrics.
• Triage incidents, conduct initial investigations, apply documented procedures or workarounds, and escalate complex technical issues with clear supporting information.
• Analyze operational data such as incident volumes, error rates, response and resolution times, application availability, service-level performance, MTTR, and MTTD using statistical and quantitative techniques.
• Use SQL, Python, R, PowerShell, Shell/Bash, or comparable tools to investigate issues, validate information, work with data, and automate repeatable operational activities.
• Use approved generative and Agentic AI tools to develop or improve workflows for incident triage, diagnostics, information retrieval, health checks, reporting, documentation, data validation, and other repeatable processes.
• Partner with business and technology stakeholders to identify operational pain points and opportunities for data, intelligent automation, and process improvement.
• Build dashboards, operational metrics, reports, and automated reporting with Power BI, Python, Excel, Power Query, or comparable platforms; communicate trends, risks, and improvement opportunities.
• Support releases and change activities, maintain operational documentation and runbooks, and identify opportunities to improve monitoring, observability, automation, operational reliability, and SLA performance.

Benefits

• GM states that it offers benefits supporting employee well-being at work and at home and refers candidates to its Total Rewards resources for details.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level