Business Intelligence Data Analyst - GPSC

General Motors • Warren, MI

1d • Hybrid

About The Position

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.

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: Senior