Business Intelligence Data Analyst - GPSC

Description
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.

Your Skills & Abilities (Required Qualifications)

• 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.

What Will Give You a Competitive Edge (Preferred Qualifications)

• 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.

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.)
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.
About GM
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