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Product Safety Data Analytics – Data Analyst
Product Safety Data Analytics – Data AnalystGeneral Motors • Warren, Michigan, United States of America
Product Safety Data Analytics – Data Analyst

Product Safety Data Analytics – Data Analyst

General Motors • Warren, Michigan, United States of America
5 days ago
Job type
  • Permanent
Job description

Job Description

About GM

There’s never been a more exciting time to work at General Motors. To achieve our vision of Zero Crashes, Zero Emissions, and Zero Congestion, we need people who are passionate about creating safer, smarter, and more sustainable mobility solutions.

About Product Safety Data Analytics (PSDA)

Product Safety Data Analytics (PSDA) is a core part of GM’s safety ecosystem. PSDA supports safety decision-making by identifying potential emerging vehicle safety issues through the analysis, mining, and monitoring of large volumes of structured and unstructured data.

The team works across customer complaints, engineering data, crash and field reports, vehicle telemetry, surveys, and research data to detect trends, assess risk, and deliver decision-ready insights to safety, engineering, and leadership stakeholders.

The Role

The Product Safety Data Analyst supports Global Vehicle Safety and related organizations by executing rigorous, unbiased data analyses that inform safety investigations and decisions.

This role is primarily focused on data extraction, preparation, analysis, visualization, and communication. The analyst works closely with safety engineers, statisticians, and analytics partners to ensure analyses are accurate, timely, and clearly presented.

What You’ll Do (Responsibilities)

  • Pull, prepare, and analyze large volumes of structured and unstructured safety data
  • Support safety investigations through statistically sound analyses and exploratory data work
  • Apply appropriate statistical methods to assess trends, risk, potential failure behavior, and anomalies
  • Create clear, unbiased visualizations and summaries that accurately reflect the data
  • Translate complex analytical findings into understandable insights for non-technical audiences
  • Present results in written and visual formats to technical teams and leadership
  • Collaborate with Safety, Engineering, Quality, and IT partners on cross-functional work
  • Balance recurring sustaining analytics with ad-hoc data pulls and rapid-turn analyses

What You’ll Do (Responsibilities)

  • Consult on data and analytics needs for safety investigations
  • Perform statistical analyses using established methods and best practices
  • Ensure analytical work is accurate, reproducible, and unbiased
  • Build and maintain queries and datasets across multiple data sources
  • Develop charts, dashboards, and visual summaries for ongoing monitoring and investigations
  • Communicate assumptions, limitations, and results clearly and professionally
  • Manage multiple concurrent requests in a fast-paced, ambiguous environment
  • Yours Skills & Abilities (Required Qualifications) :

  • 3+ years of post-graduation experience in analytics, statistics, or a related field
  • Bachelor’s degree in applied Statistics, Mathematics, Actuarial Science, or a related discipline
  • Working knowledge of statistical techniques, including : Time series analysisCategorical data analysisMultivariate analysisLogistic regressionLinear and non-linear modelingOutlier assessment / anomaly detection
  • Strong proficiency in data visualization and charting
  • Experience analyzing text or unstructured data using text mining, machine learning, or similar methods
  • Proficiency with one or more programming or query languages (e.g., SQL, Python, R)
  • Experience with data preparation, cleaning, rationalization, and processing
  • Ability to independently manage a high-volume workload
  • Comfortable working in ambiguity and responding to unplanned requests
  • Strong written and verbal communication skills
  • Demonstrated continuous-learning mindset
  • Tools & Technical Experience (one or more preferred)

  • Data & Query : SQL; Databricks
  • Programming : Python; PySpark (preferred)
  • Analytics & BI : Power BI, Tableau; Excel
  • What Can Give You a Competitive Edge (Preferred Qualifications) :

  • Experience working with vehicle diagnostics, telemetry, or connected-vehicle data
  • Familiarity with interpreting diagnostic signals, fault codes, and time-series vehicle data in an analytics or safety context
  • Working knowledge of vehicle safety systems, vehicle components, and field performance
  • AI / ML proficiency : Ability to leverage AI tools to accelerate data analysis, apply basic machine-learning models when appropriate, and clearly interpret and communicate results while maintaining data quality and risk awareness
  • Master’s degree in Applied Statistics, Mathematics, Actuarial Science, or a related field
  • #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.

    The position is subject to export control restrictions and requires the successful candidate to be either a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization.

    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

    From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

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

    General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

    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 .

    Accommodations

    General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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    Product Safety Data Analytics Data Analyst • Warren, Michigan, United States of America

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