Business Intelligence Data Analyst

General Motors

Business Intelligence Data Analyst leading data engineering and BI solutions for GM's Supply Chain. Architecting data infrastructure and mentoring teams to drive analytics innovation.

Posted 5/17/2026full-timeWarren • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCognosGoogle Cloud PlatformPythonSparkSQLTableau

About the role

Key responsibilities & impact

Architect, design, and lead enterprise-scale data engineering and BI solutions across diverse Supply chain business domains (Purchasing, Production Planning and Scheduling, Logistics, Supplier Quality).
Build and optimize robust AI/ML solutions to promote workflow automation and organizational efficiency.
Champion the adoption of AI/ML-ready data infrastructure and advanced analytics methodologies.
Develop and maintain logical and physical data models (star, snowflake, medallion architecture) for analytics and reporting.
Oversee the development of BI dashboards and reports using leading platforms (Power BI, Cognos, Tableau, Qlik, Looker).
Establish and enforce best practices for data governance, security, master data management, and compliance.
Collaborate with cross-functional teams, IT, and business stakeholders to align data architecture with strategic goals.
Mentor and guide data engineers, BI developers, and analysts; conduct design reviews and promote technical excellence.

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related field.
5+ years of experience in data engineering, analytics infrastructure, and BI reporting in enterprise environments.
Advanced proficiency in SQL, Python, Spark, and data modeling tools.
Strong background in BI development (Power BI, Cognos, Tableau, Qlik, Looker) and front-end reporting.
Proven experience with AI/ML integration and deployment in enterprise analytics environments.
Demonstrated success leading modernization/migration projects and implementing scalable, compliant data solutions.
Excellent communication skills for translating technical concepts to business stakeholders and mentoring team members.
Hands-on experience with cloud data platforms (Azure, AWS, GCP), Lakehouse technologies (Databricks, Snowflake), and hybrid architectures.

Benefits

Comp & perks

Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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.
Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities.

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Hard Skills & Tools

data engineeringbusiness intelligence (BI)AI/ML solutionsdata modelingSQLPythonSparkdata governancemaster data managementanalytics infrastructure

Soft Skills

communication skillsmentoringcollaborationleadershiptechnical excellence