Business Intelligence Engineer – Global Manufacturing Electrical & SDV

Job Description

At General Motors our product teams are redefining mobility. Through a human-centered design process we create vehicles and experiences that are designed not just to be seen but to be felt. Were turning todays impossible into tomorrows standard from breakthrough hardware and battery systems to intuitive design intelligent software and next-generation safety and entertainment features.

Every day our products move millions of people as we aim to make driving safer smarter and more connected shaping the future of transportation on a global scale.

Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. Thisisnta role for those looking for an easypathitsfor those who embrace change push through obstacles and take ownership of complex problems. While there will be long days and moments that test your resilienceyoullfind purpose in your work flexibility to prioritize your family and the support of a people-first culture. Ifyoureready to grow thrive and make a real impactwedlove to hear from you

WHY: You will enable plants to achieve world-class manufacturing performance by transforming complex production quality and supply chain data into clear trusted insights that drive faster root-cause analysis and corrective actions.

WHAT: You will lead the end-to-end development of BI and analytics solutionsdesigning data models pipelines and visualizations that standardize KPIs improve transparency and embed data-driven decision-making across Global Manufacturing Electrical & SDV.

HOW: You will succeed in this role by translating complex manufacturing needs into robust data pipelines scalable models and intuitive Power BI solutions that deliver fast reliable and actionable insights in partnership with cross-functional stakeholders.

Work Arrangement - Onsite

This role is categorized as onsite. The successful candidate is expected to report to the Warren Tech Center on a full-time basis.

This role may require up to 30% travel across North America to collaborate with plants and regional stakeholders.

What Youll Do (Responsibilities):

• Develop and implement data analytics solutions and BI tools to improve manufacturing efficiency quality control and supply chain management.
• Collaborate with cross-functional teams (Manufacturing Engineering Quality IT and plant leadership) to understand business requirements and translate them into actionable analytics solutions.
• Design build and maintain data pipelines and workflows ensuring data integrity availability and performance across multiple manufacturing systems and sources.
• Develop and maintain curated data models and tables ensuring data is accurate reliable and aligned with Medallion architecture and GM data standards.
• Utilize statistical methods and machine learning techniques to extract insights from complex data sets and support predictive and prescriptive analytics.
• Build and deploy predictive models and advanced analytics solutions that support proactive decision-making and process optimization in manufacturing environments.
• Develop and maintain Power BI dashboards reports and paginated reports that provide clear actionable insights to plant teams and leadership.
• Work closely with IT and operational teams to integrate analytics solutions into existing systems and processes ensuring solutions are secure scalable and maintainable.
• Support quick-turn analyses and visualizations to meet urgent manufacturing needs including launch support issue triage and performance deep dives.
• Document data sources data models and reports and contribute to standards best practices and governance for BI and analytics within Global Manufacturing Electrical & SDV.

Your Skills and Abilities (Required Qualifications):

• Advanced proficiency in SQL Power BI and data modeling including experience working with large complex data sets.
• Proven experience applying data transformation techniques to move data from raw sources into curated usable data tables and models.
• Strong proficiency in Power Query (M language) DAX (Data Analysis Expressions) and paginated reports.
• Proven experience with ETL processes and transforming raw data into actionable insights.
• Ability to work with large datasets and perform complex data analysis.
• Demonstrated experience working in a fast-paced environment delivering high-quality visual and data analysis under tight deadlines.
• Flexibility and adaptability to support manufacturing teams with quick turnaround on analysis and reporting needs.
• Proficiency in SQL and related tools for data analysis and manipulation.
• Strong understanding of data warehousing Medallion architecture data modeling and ETL processes.
• Bachelors degree in Computer Science Data Science Engineering or a related field; or equivalent experience.

What Will Give You a Competitive Edge (Preferred Qualifications):

• Advanced degree in Computer Science Data Science Engineering or a related field.
• 3 years of proven experience in data analytics in a manufacturing or industrial setting.
• 3 years of proven experience with end-to-end BI tool development (requirements modeling development and deployment).
• Experience with Microsoft Power Platform tools such as Power Apps.
• Experience with cloud computing and data platforms such as Databricks or similar technologies.
• Experience in developing and deploying predictive models to optimize manufacturing operations.
• Demonstrated ability to integrate analytics solutions into existing IT systems MES and operational workflows in manufacturing environments.
• Passion for staying updated with industry trends and applying innovative data and analytics solutions to enhance manufacturing efficiency and quality.
• Proven track record of delivering impactful insights and driving business decisions through data-driven approaches.
• Excellent communication skills with the ability to collaborate effectively across teams and present findings to technical and non-technical stakeholders.

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

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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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