Safety Field Investigations - Data Analyst

Description

The Role

The Safety Field Investigations (SFI) Data Analyst supports Global Field Action Execution by leading data analysis, reporting, and data pipeline activities that improve field action decision-making and operational execution. This role builds on the current SFI Analyst scope by combining VIN population analysis, cost modeling, internal reporting, and database support with modern data engineering and visualization capabilities.

The ideal candidate brings strong analytical and problem-solving ability, works effectively across global teams, and can translate complex operational and engineering data into actionable business insights.

What You’ll Do (Responsibilities):

Lead field action VIN population analysis and definition to determine vehicle eligibility, support customer contact strategy, and help complete required documentation.

Design, maintain, and improve data pipelines and data workflows that support field action analytics, reporting, and operational decision-making.

Perform data preprocessing, cleansing, validation, and feature engineering to improve data quality and usability for analysis.

Develop cost estimates and analytical models to support corporate financial accruals and business planning.

Create and distribute internal field performance and field action communications for global and regional stakeholders.

Support the administration, enhancement, and data governance of the Global SFI database and related analytical tools.

Build dashboards, scorecards, and self-service reporting solutions using Tableau and Power BI to monitor field action performance and trends.

Use SQL, Databricks, Hadoop, Pandas, and NumPy to analyze large datasets, automate recurring analysis, and generate actionable insights.

Partner with engineering, operations, and global teams to solve complex problems, align on data definitions, and drive consensus on key decisions.

Apply knowledge of automotive engineering terms, systems, and components to interpret data and support field action execution.

Your Skills & Abilities (Required Qualifications):

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field; equivalent relevant experience may be considered.

5+ years of related experience or demonstrated proficiency in analytical and technical roles.

Strong oral and written communication skills.

Strong interpersonal skills and the ability to work effectively with cross-functional and global partners.

Demonstrated ability to work independently, solve highly complex problems, and lead teams to consensus when needed.

High level of analytical ability, especially when working with unusual or difficult problems.

Strong experience with SQL and data analysis in large, complex datasets.

Hands-on experience with data engineering and big data environments such as Databricks and Hadoop.

Experience building and maintaining data pipelines and performing data preprocessing and feature engineering.

Experience creating dashboards and visual analytics using Tableau and Power BI.

Proficiency with Python-based analytics tools such as Pandas and NumPy.

Strong estimating, planning, and organizational skills.

What Can Give You a Competitive Edge (Preferred Qualifications):

Experience with automotive components and systems.

Experience with GM systems such as QDAP and other performance integration-related applications.

Experience with GM Data Structure

Advanced proficiency in Excel, Access, or other analytical tools.

Good project management skills.

Experience developing enterprise data models, automated reporting, or scalable analytics solutions in operational environments.

#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.

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.

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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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