Business Intelligence Data Analyst GPSC

Job 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 Youll 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)

• Bachelors 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)

• Masters 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.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

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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. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

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