Descripción
Vacancy Status:
No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business].
The Role
Business Insights & Decision Support will use data to help the business make better decisions across Quality, Software & Services, and Engineering. This role focuses on interpreting analyses, generating insights, and telling the story behind the numbers, rather than heavy coding or data engineering. The ideal candidate is comfortable working with data, but excels at translating results into clear recommendations for business partners.
What You’ll Do
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Partner with business stakeholders to clarify questions, frame problems, and define success metrics.
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Translate ambiguous business issues into structured analytical questions and practical approaches.
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Use BI tools (e.g., Power BI, Tableau) and statistical methods (e.g., hypothesis framing, sampling, segmentation, variability) to explore data and identify trends, patterns, and anomalies.
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Develop and interpret descriptive and diagnostic analyses (e.g., trends over time, segmentation, cohort analysis, root cause analysis).
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Connect analytical findings to business context and clearly explain “what this means” and “what to do next.”
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Synthesize analyses into clear narratives and executive-ready communications tailored to non-technical audiences.
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Communicate trade-offs, limitations, and assumptions in a way that supports sound decision-making.
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Facilitate discussions around insights, align actions, and track follow-up results.
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Identify opportunities to improve data quality, metric definitions, and reporting consistency in partnership with IT/data engineering.
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Document analytic approaches, business logic, and metric definitions for reuse and transparency.
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You build predictive models and machine-learning algorithms.
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You analyze large amounts of information to discover trends and patterns.
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Undertake preprocessing of structured and unstructured data.
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Monitor and sustain model effectiveness.
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Combine models through ensemble modeling.
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Present complex information using data visualization techniques.
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Propose solutions and strategies to business challenges that drive business impact
Your Skills & Abilities (Required Qualifications)
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7+ years of experience
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BA or BS in relevant field or equivalent real-world experience
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Solid understanding of statistical concepts applied to business decisions (e.g., distributions, sampling, variability, correlation vs. causation, and practical significance).
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Demonstrated ability to interpret data and explain insights to non-technical audiences.
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Strong written and verbal communication skills, with experience creating clear, concise presentations for stakeholders.
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Experience in a business-facing analytics role supporting operations, product, quality, or customer experience.
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Experience working with large or complex datasets and collaborating with data engineers/IT for data access and structure (without needing to own pipelines).
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Proven cloud experience and familiarity with at least one cloud platform (Azure preferred)
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Business Acumen: Ability to quickly understand business processes and connect insights into financial and operational outcomes.
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Critical Thinking: Comfortable challenging assumptions, probing for root causes, and weighing multiple explanations.
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Data Storytelling: Skilled at turning analyses into clear narratives with a logical flow from question → approach → findings → implications → recommendations.
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Collaboration: Works effectively with cross-functional partners, including business leaders, IT, and data engineering.
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Action Orientation: Focused on outcomes and decisions, not just reports; drives follow-through on insight-driven actions.
What Can Give You a Competitive Edge (Preferred Qualifications):
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Master’s degree in Statistics, Mathematics, Industrial Engineering, or Business Analytics
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Experience in manufacturing, automotive, or industrial environments, or other data-rich operational settings.
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Experience with tools such as Databricks, python, and SQL.
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
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
- Healthcare, dental and vision benefits including health care spending account and wellness incentive.
- Life insurance plans to cover you and your family.
- Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
- GM Vehicle Purchase Plan for you, your family, and friends.
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 [email protected] 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.




