IT Operations Analyst

General Motors of Canada; Austin (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

General Motors of Canada is seeking an IT Operations Analyst to help modernize application operations through data-driven insights, automation, and emerging technologies. The role supports dealer operations, vehicle engineering, finance, purchasing, supply chain, and other business functions.

The role emphasizes incident triage, data validation, monitoring, and applying quantitative techniques to improve reliability and efficiency.

Qualifications

• Bachelor's degree in Information Systems / Computer Science / IT or related field.
• Strong quantitative and problem-solving abilities.

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 escalation of 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.

Skills

Data analysis

Statistical thinking

Analytical mindset

Collaboration

Education

Bachelor's degree (Information Systems / Computer Science / IT)

Tools

SQL

Python

R

PowerShell

Shell/Bash

Power BI

Power Query

Excel

Job description

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 escalation of 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