StatisticianData Analyst Data Insights and Decision Support

Job Description

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 Youll Do

• Partner with business stakeholders to clarify questions frame problems and define success metrics.

• Translate ambiguous business issues into structured analytical questions and practical approaches.

• 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.

• Develop and interpret descriptive and diagnostic analyses (e.g. trends over time segmentation cohort analysis root cause analysis).

• Connect analytical findings to business context and clearly explain what this means and what to do next.

• Synthesize analyses into clear narratives and executive-ready communications tailored to non-technical audiences.

• Communicate trade-offs limitations and assumptions in a way that supports sound decision-making.

• Facilitate discussions around insights align actions and track follow-up results.

• Identify opportunities to improve data quality metric definitions and reporting consistency in partnership with IT/data engineering.

• Document analytic approaches business logic and metric definitions for reuse and transparency.

• You build predictive models and machine-learning algorithms.

• You analyze large amounts of information to discover trends and patterns.

• Undertake preprocessing of structured and unstructured data.

• Monitor and sustain model effectiveness.

• Combine models through ensemble modeling.

• Present complex information using data visualization techniques.

• Propose solutions and strategies to business challenges that drive business impact

Your Skills & Abilities (Required Qualifications)

• 7 years of experience

• BA or BS in relevant field or equivalent real-world experience

• Solid understanding of statistical concepts applied to business decisions (e.g. distributions sampling variability correlation vs. causation and practical significance).

• Demonstrated ability to interpret data and explain insights to non-technical audiences.

• Strong written and verbal communication skills with experience creating clear concise presentations for stakeholders.

• Experience in a business-facing analytics role supporting operations product quality or customer experience.

• Experience working with large or complex datasets and collaborating with data engineers/IT for data access and structure (without needing to own pipelines).

• Proven cloud experience and familiarity with at least one cloud platform (Azure preferred)

• Business Acumen: Ability to quickly understand business processes and connect insights into financial and operational outcomes.

• Critical Thinking: Comfortable challenging assumptions probing for root causes and weighing multiple explanations.

• Data Storytelling: Skilled at turning analyses into clear narratives with a logical flow from question approach findings implications recommendations.

• Collaboration: Works effectively with cross-functional partners including business leaders IT and data engineering.

• 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):

• Masters degree in Statistics Mathematics Industrial Engineering or Business Analytics

• Experience in manufacturing automotive or industrial environments or other data-rich operational settings.

• Experience with tools such as Databricks python and SQL.

Compensation:

The salary range for this role is $139000 to $188700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

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.

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.

Non-Discrimination and Equal Employment Opportunities

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.

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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