Product Safety Data Analytics – Data Analyst

Job Description

About GM

Theres 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 GMs 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 Youll 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 Youll 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
• Bachelors degree in applied Statistics Mathematics Actuarial Science or a related discipline
• Working knowledge of statistical techniques including:
  • Time series analysis
  • Categorical data analysis
  • Multivariate analysis
  • Logistic regression
  • Linear and non-linear modeling
  • Outlier 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
• Masters degree in Applied Statistics Mathematics Actuarial Science or a related field

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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 were looking out for your well-beingat work and at homeso 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

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