The posting
Job Description
IT Operations Analyst
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to either Austin TX or Warren MI 3 days per week (T-W-Th) .
GM is seeking a detail-oriented, data-driven IT Operations Analyst to help modernize application operations through data-driven insights, statistical methods, Agentic AI, automation, and process improvement while supporting business-critical applications across dealer operations, vehicle engineering, finance, purchasing, supply chain, and other business functions.
This role combines IT Operations, data, intelligent automation, and emerging technologies to identify patterns, improve operational processes, reduce repetitive manual work, and improve the reliability and efficiency of application support across multiple business units.
The role is well suited for individuals with a strong technical, quantitative, or business foundation who are interested in applying data, automation, and emerging technologies to IT Operations. Prior professional IT Operations experience is not required. Relevant coursework, projects, internships, certifications, research, and other practical experience can provide the foundation for success in this role.
The Role
The IT Operations Analyst helps ensure the stability, reliability, and accuracy of business-critical applications and operational processes through data-driven insights, statistical methods, intelligent automation, and production support.
Working within established IT operating practices, you will support incident triage, data validation, operational monitoring and reporting, release verification, and application health assessment.
A significant focus of the role will be looking across operations to identify patterns, recurring issues, repetitive work, and opportunities where Agentic AI, data, and automation can improve efficiency, reliability, and support quality.
You will collaborate with application engineers, database administrators, infrastructure teams, business analysts, and business stakeholders across multiple business units to understand operational challenges, develop data-driven insights, automate repeatable activities, and help implement intelligent solutions. Complex technical issues will be escalated to appropriate engineering or subject-matter experts as you develop deeper knowledge of enterprise applications and production operations.
What You’ll Do
- 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.
Your Skills & Abilities (Required Qualifications)
- Bachelor's degree in one of the following fields: 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.
What Will Give You A Competitive Edge (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.
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, TN, STEM OPT, F1 etc.) Now or in the future.
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