Safety Field Investigations – Data Analyst

General Motors

Data Analyst supporting Global Field Action Execution through data analysis and reporting. Collaborating across teams to improve decision-making and operational execution.

Posted 7/31/2026full-timeWarren • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, data engineering, and the development of analytical models to support business planning and decision-making. Proficient in building data pipelines, creating visual analytics, and collaborating with cross-functional teams to drive consensus and solve complex problems.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyTableau Dashboard CreationData Engineering with DatabricksAnalytical Model Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData PreprocessingFeature EngineeringCost EstimationAnalytical ModelingData ValidationData CleansingBig Data EnvironmentsAutomated AnalysisData Governance

Soft Skills

Strong Communication SkillsInterpersonal SkillsProblem-Solving AbilityTeam LeadershipOrganizational Skills

Tools & Technologies

TableauPower BISQLDatabricksHadoopPandasNumPy

Industry Keywords

Automotive EngineeringField Action AnalyticsData WorkflowsOperational Decision-MakingStakeholder Communication

Tech Stack

Tools & technologies

HadoopNumpyPandasPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Non-Discrimination and Equal Employment Opportunities
Support for a rewarding career that rewards you personally