Descripción
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to one of the following locations: Warren, MI or Austin, TX you are expected to report to that location three times a week, at minimum.
The Ideal Candidate:
We are seeking a highly skilled and enthusiastic Senior Analytics Engineer - BI/AI to join our Manufacturing IT organization. The ideal candidate will play a crucial role in collaborating across business functions, understanding business priorities, analyzing data, developing executive visualizations, trailblazing new Artificial Intelligence (AI) solutions, and mining insights for the Manufacturing organization from the boardroom to the Manufacturing floor.
The Role:
You will lead, design and develop complex data assets such as impactful visualization reports, dashboards and self-service data products to aid decision making. You will help develop cutting edge AI products that help our Manufacturing business be more efficient. You will collaborate with stakeholders to understand business needs, have a consultative approach and develop quantitative and qualitative solutions, and possess compelling storytelling skills to effectively articulate business insights. You are expected to have strong statistical and business analytics skills, build analytic solutions and support the dynamic needs of the business teams. This role requires flexibility and the ability to thrive in a fast-paced environment with quick turnaround times.
What You’ll do:
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Define, implement, and lead best practices and patterns for creating scalable, high-quality, executive visualizations.
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Collaborate with business stakeholders to identify opportunities and provide rapid analytic solutions as a consultant and trusted partner.
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Gain a deep understanding of the business, think strategically and comprehensively, and effectively communicate complex solutions through storytelling.
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Retrieve data from different source systems, integrate large volumes of data, applying your strong expertise in SQL, Databricks, Power BI or equivalents.
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Analyze complex data to develop insights and address business issues.
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Collaborate with other BI engineers, data engineers, AI engineers, data scientists, developers, product owners, program managers, and business stakeholders to understand data requirements and visualization needs while identifying, developing key metrics and KPIs for tracking business performance and progress.
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Engage with UX/UI designers to ensure seamless and user-friendly experience in data visualizations.
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Stay abreast of emerging trends and technologies in data, BI, AI and proactively find opportunities for implementation within Manufacturing data products.
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Mentor other junior resources.
[Additional Description]
Your Skills & Abilities (Required Qualifications):
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Education: Bachelor's degree or higher in Computer Science, Data Science, Information Systems, AI, or related field or relevant experience.
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Experience: 7+ years of experience as a BI Systems Engineer, Data Analyst, Analytics Engineer, AI Engineer or equivalent with development, testing, deployment and management of BI, AI, and mining business insights with analytics.
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Business Intelligence: Power BI preferred, Tableau/Cognos a plus.
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Database: strong proficiency in SQL, Cloud (Databricks), Oracle, SQL Server, Hadoop.
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Data Transformation: Understanding of data manipulation and transformation techniques.
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Analytics: Familiarly with Large Language Models (LLM).
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Other Skills: Excellent problem-solving skills and the ability to think critically about data visualization challenges. Compelling story telling skills, strong knowledge of data visualization, best practices, principles, and techniques required. Strong communication skills and a collaborative mindset to work effectively in cross-functional teams. Attention to detail and a passion for creating visually compelling and informative data visualizations. Natural curiosity with the ability to work both independently and proactively. Experience managing, analyzing, and communicating results to senior leadership.
What Will Give You A Competitive Edge (Preferred Qualifications):
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Education: Master’s in computer science, Data Science, Information Systems/related field or relevant experience.
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Experience: 10+ years of experience as a BI Systems Engineer, Data Analyst, Analytics Engineer, AI Engineer or equivalent with development, testing, deployment and management of BI, AI, and mining business insights with analytics.
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Software Development: Python, .Net C#, or React experience including CICD.
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Advanced Analytics: AI, Prompt Engineering, Data Science, and ML modeling skills.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. PLEASE DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Información sobre diversidad
General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar. Para obtener más información, visite Cómo contratamos.
Declaración de igualdad de oportunidades en el empleo (EE.UU.)
General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido.
Adecuaciones (EE.UU. y Canadá)
General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a Careers.Accommodations@GM.com o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.