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Are you passionate about applying advanced statistical techniques to solve complex business challenges? This is a great opportunity for individuals with a background in applied statistics and passion for exploring how data can be used to drive safety decisions and improve overall safety for our GM customers!
The Product Safety Data Analyst is responsible for identifying potential emerging vehicle safety issues by analyzing, mining, and monitoring relevant internal and external data. This requires identifying trends and patterns in customer complaint, engineering, crash, telematics, survey, and research data. Must be analytical, adaptable, and very detail oriented, producing high quality and accurate work product.
RESPONSIBILITIES :
Understand Safety Data and how to use it appropriately in data analysis
Correctly perform the appropriate statistical analysis to provide unbiased results
Tell a story with data to influence decision making
Develop innovative analytical approaches to root out, predict, and identify potential emerging issues through data analysis and reporting
Present analysis findings to internal audiences by synthesizing complex data and concepts into easy-to comprehend cohesive presentations
Collaborate with Safety, Engineering, Quality, and IT stakeholders to arrive at actionable insights
SME in applied reliability/survival analysis and sampling design
Manage safety cases on a deadline, including: pulling data, researching concern, reading verbatim data, completing data analysis, and communicating results to subsequent stakeholders. This may require occasional after-hours availability and support of urgent Product Safety cases and risk assessment
QUALIFICATIONS :
5 + years of experience in applied statistical analysis
Advanced degree in statistics, applied mathematics, operations research, or related field
Proficiency in varied statistical data analyses such as sampling design, reliability and survival analysis, accelerated validation testing plans, analysis of variance, time series analysis
Proficiency in one or more data mining / predictive modeling tools such as Python and R as well as proficiency in SQL
Experience working with data in Hadoop/GMDP and Databricks
Ability to design and build insightful visuals using programing languages (Python, R) or dashboards (Power BI)
Experience using various methods to analyze text/unstructured data
Ability to effectively communicate results and methodologies. Must be comfortable presenting to executive leadership
Must have strong work ethic and drive for results and the ability to work in an ambiguous workspace
Experience with data preparation, rationalization, and processing
Ability to prioritize and manage multiple tasks without sacrificing quality
Understanding of vehicle safety technologies including design intent, function and intended performance in the field
Additional Description
PREFERRED QUALIFICATIONS:
Knowledge of GM IT systems and processes, especially in the areas of Engineering, Quality/Warranty, Customer Care and Aftersales, or OnStar
Proficiency in Python and PySpark
Experience in vehicle development or validation of safety related systems or components
Working knowledge of safety standards and regulations
This role is catergorized as Hybrid. This means the successful candidate is expected to report onsite three times per week at minimum.
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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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