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Gm Data Analyst Jobs (NOW HIRING)

The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with ... Deep knowledge of GM's Data Ecosystem * Deep knowledge of GM's Cloud Technology Stack for Data ...

The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with ... Deep knowledge of GM's Data Ecosystem * Deep knowledge of GM's Cloud Technology Stack for Data ...

Customer Intl Data Analyst Sr

Cleveland, OH · On-site

$83K - $105K/yr

Position Summary The Business Intelligence Data Analyst has responsibility for improving data ... Build and maintain CX dashboards and recurring CX content for GM consumption, completing ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... Assists in analyzing key metrics and performing data analysis * Builds technical knowledge to ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... Assists in analyzing key metrics and performing data analysis * Builds technical knowledge to ...

... GM's data platforms, cloud architecture, and AI-enablement capabilities. This role designs and ... Partner with data scientists, analysts, and executive stakeholders to translate complex business ...

... GM's data platforms, cloud architecture, and AI-enablement capabilities. This role designs and ... Partner with data scientists, analysts, and executive stakeholders to translate complex business ...

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Gm Data Analyst information

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$34K

$82.6K

$136K

How much do gm data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for gm data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a GM Data Analyst do?

A GM Data Analyst is responsible for collecting, analyzing, and interpreting data to support General Motors' business decisions. They work with large datasets to identify trends, create reports, and generate actionable insights that help improve efficiency and drive growth. Their work often involves collaborating with different departments, utilizing advanced analytics tools, and presenting findings to stakeholders. This role requires strong analytical skills, attention to detail, and a solid understanding of the automotive industry.

What are the key skills and qualifications needed to thrive as a GM Data Analyst, and why are they important?

To thrive as a GM Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI, as well as experience with automotive industry data systems, is typically required. Standout candidates also excel in critical thinking, attention to detail, and effective communication to translate complex data insights for diverse stakeholders. These skills and qualities enable data-driven decision-making and drive improvements in business performance within General Motors.

What is the highest paying data analyst job?

Senior data analyst roles, especially those involving advanced skills in machine learning, big data tools, and business intelligence, tend to offer the highest salaries for data analysts. Positions such as data science managers or analytics directors often have higher compensation, with some earning over $100,000 annually depending on experience and industry.

How does a GM Data Analyst typically collaborate with cross-functional teams to drive business insights?

As a GM Data Analyst, you'll regularly partner with departments such as marketing, finance, operations, and product development to gather requirements, share findings, and align data-driven recommendations with organizational goals. Collaboration often involves participating in team meetings, presenting data visualizations, and discussing actionable insights to support decision-making. This role requires strong communication skills to translate complex data results into clear, business-friendly language that helps guide strategic initiatives and process improvements.

What is the difference between Gm Data Analyst vs Gm Data Analyst?

AspectGm Data AnalystGm Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Data Science, Analytics, or related field; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentCorporate offices, automotive industry settings, collaborative teamsCorporate offices, automotive industry settings, collaborative teams
Employer & Industry UsageAutomotive manufacturers, suppliers, dealershipsAutomotive manufacturers, suppliers, dealerships
Common Search & ComparisonGm Data Analyst vs Gm Data Analyst

Since the comparison is between identical roles, the Gm Data Analyst and Gm Data Analyst are essentially the same position, sharing similar credentials, work environment, and industry usage. Any differences are likely due to specific company or team terminology rather than role distinctions.

What jobs pay 200,000 a year in the USA?

Gm Data Analysts typically do not reach $200,000 annually, but senior data roles such as Data Science Managers, Data Directors, or Chief Data Officers often do. These positions require advanced skills in analytics, programming, and leadership, and may include bonuses or stock options that contribute to total compensation reaching or exceeding $200,000 per year.

How much does a GM data scientist make?

A GM data scientist typically earns between $80,000 and $120,000 annually, depending on experience, location, and level of expertise. Salaries can vary based on the complexity of data projects, required skills in analytics tools, and certifications held.

What jobs in the US pay 300,000 a year?

Gm Data Analysts typically do not earn $300,000 annually; such high salaries are more common in executive roles, specialized medical professionals, or senior finance positions. High-paying roles often require extensive experience, advanced skills, or leadership responsibilities. Data analysts aiming for top salaries may need to progress into managerial or strategic roles with additional qualifications.
More about Gm Data Analyst jobs
Data Analyst I - Model Management

Data Analyst I - Model Management

GM Financial

Fort Worth, TX • On-site

Full-time

Retirement

Posted 17 days ago


GM Financial rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

73rd of 142 rated vehicle equipment hire


Job description

Job Description
Why GMF Technology?
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
This position will be posted until filled.
Responsibilities
The Data Analyst is responsible for analyzing data and delivering clear, actionable insights through high-quality reporting and visualization. This role focuses on understanding data, translating business questions into metrics, and building Power BI dashboards that support monitoring, decision-making, and transparency across the organization.
The position works closely with data science, analytics, and business partners to ensure data is accurately interpreted, consistently reported, and effectively communicated. Exposure to model governance concepts is beneficial, but formal governance experience is not required and can be learned on the job.
In this role You will:
  • Analyze large and complex datasets to identify trends, risks, and opportunities.
  • Design, build, and maintain Power BI dashboards and reports.
  • Partner with stakeholders to translate business needs into clear metrics and visualizations.
  • Ensure data accuracy, consistency, and clarity across reports and dashboards.
  • Document metric definitions, assumptions, and reporting logic.
  • Act as a liaison between model governance, data science, and oversight functions.
  • Support basic model monitoring and governance activities

Qualifications
What makes You an ideal candidate?
  • Knowledge of the data science lifecycle and model risk management.
  • Familiarity with data visualization best practices.
  • Familiarity with model governance and monitoring standards.
  • Understanding of statistical and machine learning techniques.
  • Knowledge of on-premise and cloud-based data platforms.
  • Hands-on experience with Power BI dashboard development.
  • Strong SQL skills in a data warehouse environment.
  • Ability to read and understand analytical code written by others in SAS or Python.
  • Strong communication skills for technical and non-technical audiences.
  • Ability to work independently with minimal supervision.
  • Experience analyzing large datasets.
  • Prior analytics or reporting experience.
  • Cloud (Azure, AWS, Databricks) and Git experience preferred.

Work Experience & Education
  • 0 - 2 years of data mining and query tool experience preferred
  • 0 - 2 years of experience in auto finance preferred
  • 0 - 2 years of experience in similar role preferred
  • Bachelor's degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics or other quantitative field required
  • Master's degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics or other quantitative field preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
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