Data Analyst

General Motors

Data Analyst working with large datasets to drive analytics and insights at General Motors. Building dashboards and collaborating with cross-functional teams for business decision-making.

Posted 5/12/2026full-timeWarren • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudETLSQLTableau

About the role

Key responsibilities & impact

Analyze large volumes of diverse operational, financial, and asset-related data to identify trends, patterns, and anomalies that inform business decisions and ICC strategies
Build and maintain dashboards, reports, and self-service analytics solutions (e.g., in Power BI or Tableau) that provide clear visibility into key performance indicators and metrics for ICC stakeholders
Perform data profiling, cleansing, and validation to ensure data quality and reliability across structured and semi‑structured sources
Collaborate with solutions engineers to define data requirements and support the development and enhancement of data pipelines feeding ICC reporting and analytics solutions
Translate business questions from facilities, operations, construction, corporate citizenship and real estate partners into analytical problems, and deliver structured analyses and recommendations to support decision‑making
Present complex findings in a clear, concise way using data visualization techniques and storytelling tailored to business and technical audiences, including ICC leadership
Document data definitions, metrics, and reporting logic to promote consistency, reuse, and a shared understanding of ICC’s data assets
Support continuous improvement by identifying opportunities to streamline reporting processes, automate recurring analyses, and enhance existing dashboards and data products
Partner with data scientists on exploratory analysis, feature development, and measurement plans for more advanced predictive and prescriptive models; contribute to basic statistical analysis where appropriate
Collaborate with professionals across the enterprise, including solutions engineers, data analysts, scientists, software developers, IT personnel, and internal customers in business operations

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or a related field, or equivalent experience
5+ years of experience as a data analyst, business intelligence analyst, reporting analyst, or in a closely related analytics role working with large datasets to support business decision‑making
Strong proficiency with SQL for querying, joining, and aggregating data from relational databases and/or cloud data platforms
Hands‑on experience building and maintaining reports and dashboards in Power BI, Tableau, or a similar modern BI tool, including data modeling, calculations, and visual best practices
Demonstrated ability to translate ambiguous business questions into structured analytical approaches and to deliver clear, actionable recommendations
Familiarity with data storage solutions, databases, and data processing frameworks (e.g., data warehouses, data lakes, ETL/ELT concepts)
Strong interpersonal and communication skills, with a track record of effectively partnering with cross‑functional stakeholders and presenting findings to business partners and leadership
High level of curiosity, attention to detail, and the ability to manage multiple tasks and projects simultaneously without sacrificing quality.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisdata profilingdata cleansingdata validationSQLdata modelingstatistical analysispredictive modelingprescriptive modelingdata visualization

Soft Skills

interpersonal skillscommunication skillscuriosityattention to detailproject managementcollaborationproblem-solvinganalytical thinkingstorytellingstakeholder engagement