Business Intelligence Data Analyst - GPSC

General Motors • Warren, MI

1d • Hybrid

About The Position

The Role The Business Intelligence Data Analyst is a pivotal role within the Global Purchasing & Supply Chain - Strategy & Innovation team, operating in a hybrid work environment. This position is tailored for senior-level professionals who possess practical experience developing and implementing solutions in business intelligence, data engineering, and AI/ML. You will be responsible to help shape the future of business analytics within the organization, ensuring that data-driven strategies support key business objectives and drive innovation across multiple domains. What You’ll Do 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

• 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.

Nice To Haves

• Master’s Degree in Computer Science, Engineering, Information Systems, or related field.
• Experience in manufacturing, supply chain, logistics, or automotive domains.
• Familiarity with data governance tools and advanced analytics.
• Experience designing and implementing medallion architecture.

Responsibilities

• 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.

Benefits

• From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
• Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees