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
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