IT Operations Analyst

About the Role

This role is categorized as hybrid, requiring reporting to Austin, TX or Warren, MI 3 days per week (Tuesday-Thursday).

Key Responsibilities

• Support and monitor business-critical applications and operational processes across multiple business units, using alerts, logs, dashboards, job results, reports, and system metrics to identify issues and operational risks.
• Triage incidents, perform initial investigation, apply documented procedures or workarounds, and escalate complex technical issues with clear supporting information.
• Evaluate operational data, including incident volumes, error rates, response and resolution times, application availability, service-level performance, MTTR and MTTD, using statistical methods, trend identification, forecasting, and other quantitative techniques.
• Use SQL, Python, R, PowerShell, Shell/Bash, or comparable tools to work with data, investigate issues, validate information, 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 where data, intelligent automation, and process improvements can reduce manual effort and improve consistency, quality, reliability, and efficiency.
• Build dashboards, operational metrics, reports, and automated reporting using Power BI, Python, Excel, Power Query, or comparable data platforms, and communicate meaningful trends, risks, and improvement opportunities.
• Support releases and change activities, maintain operational documentation and runbooks, and continually identify opportunities to improve monitoring, observability, automation, operational reliability, and SLA performance.

Requirements & Tech Stack

• 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, with the ability to interpret data and identify patterns, trends, anomalies, relationships, and improvement opportunities.
• Coursework, academic projects, internships, certifications, or practical exposure involving one or more of the following: 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, with the ability to quickly learn unfamiliar technologies and business processes.
• Ability to collaborate effectively with technical and business teams and a 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 for this role.

Preferred Qualifications

• Coursework, projects, internships, certifications, or research involving data analytics, statistics, forecasting, machine learning, emerging technologies, automation, or quantitative methods.
• Experience using tools such as 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, with an interest in understanding how technology, data, and operational workflows support different business functions such as finance, engineering, purchasing, supply chain, and dealer operations.
• 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.
• General Motors does not provide immigration-related sponsorship for this role.