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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.
Job Responsibility:
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
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Nice to have:
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
What we offer:
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