Vehicle Safety Data Analyst

Job Description

The Role:

GM’s Product Safety Data Analytics team is looking for a data analyst who thrives on finding meaningful signals in messy, high-volume data. You’ll work directly with safety engineers to support active vehicle safety investigations, helping them focus on the data that matters most and move faster toward answers that protect customers.

This isn’t a dashboard-and-reporting role. The core work is investigative: systematically narrowing and interpreting large volumes of structured and unstructured data, including customer complaints and field reports, to identify patterns relevant to known or suspected vehicle issues. A significant portion of the work involves reading and evaluating real-world verbatim text -- which requires discipline, patience, and rigorous analytical judgment.

You’ll apply a range of techniques including keyword and Boolean search strategies, ontology tools and increasingly, AI/LLM-assisted workflows to improve how data is filtered, prompted, classified, and delivered to engineering partners. Comfort with evolving new tools -- and a willingness to push their limits -- matters here.

You’ll be supported by a team that is actively evolving its use of data and AI tools, with opportunities to continue to grow your analytical skill set over time. 

Why This Work Matters

Product Safety Data Analytics team sits inside GM’s safety ecosystem. The signals analysts surface here feed directly into safety decisions with real consequences for customers. Finding an issue earlier -- or ruling one out with confidence -- is the job.

What You’ll Do (Responsibilities):

• Support active safety investigations by extracting, preparing, and analyzing data from multiple internal and external sources
• Apply keyword strategies, Boolean searches, ontology tools, and AI/LLM-assisted techniques to narrow large datasets to the most relevant records
• Read and interpret large volumes of unstructured verbatim data to assess relevance to ongoing investigations
• Develop datasets and analytical outputs that help engineers understand issue scope, patterns, and potential causes
• Collaborate closely with safety engineers and communicate findings clearly throughout investigations
• Continuously expand your use of data tools, including AI/LLM-assisted workflows, to improve investigation efficiency

Yours Skills & Abilities (Required Qualifications):

• Bachelor’s degree and 3+ years of experience in an analytical role
• Experience working with large, complex datasets and identifying meaningful signals within noisy data
• Experience with unstructured text data (customer verbatims, qualitative records)
• Strong analytical reasoning, especially with incomplete or ambiguous information
• Attention to detail and the discipline to sustain accuracy through repetitive, text-heavy analysis
• Hands-on SQL experience — able to write queries independently
• Clear communicator who can translate analytical findings for engineering partners

What Can Give You a Competitive Edge (Preferred Qualifications):

• Familiarity with vehicle systems and components (can be developed on the job but a genuine plus)
• Experience with Boolean search, keyword strategies, or ontology-based filtering
• Exposure to AI/LLM-assisted tools for querying, summarizing, or classifying unstructured data
• Experience with Databricks or similar large-scale data environments
• Python or scripting experience for data processing or automation
• Power BI or similar data visualization experience
• Background in investigative, safety, reliability, or operational analytics

#LI-KE2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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