Product Safety Data Analytics - Data Analyst

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 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

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.

Total Rewards | Benefits Overview

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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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