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Gm Data Analyst Jobs (NOW HIRING)

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered ... Knowledge of data warehouses, data mining, and data analysis techniques * Foundational statistical ...

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered ... Demonstrated understanding of data warehouses, data mining, reporting, data analysis and data ...

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered ... Utilize data mining and advanced spreadsheet skills to quantify credit risk related to loan and ...

This role sits in Stord's Data team and owns the analytics product layer for our Labor Management ... You need to walk into a conversation with a building GM, understand what decisions they're making ...

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Gm Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do gm data analyst jobs pay per year?

As of Jul 14, 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.

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.

More about Gm Data Analyst jobs
Infographic showing various Gm Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Risk Analyst - Portfolio Analytics

Risk Analyst - Portfolio Analytics

GM Financial

Fort Worth, TX • On-site

Full-time

Retirement

Posted 6 days ago


GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

66th of 148 rated vehicle equipment hire


Job description


Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture - an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Our Purpose: We pioneer the innovations that move and connect people to what matters.
This position will be posted until filled.
Responsibilities
About the role:
The Risk Analyst - Portfolio Analytics is responsible for conducting analysis and developing reporting to monitor portfolio performance. The analysis and reporting are leveraged by many internal customers, including senior and executive management, to evaluate and communicate credit performance trends.
In this role you will:
  • Utilize data exploration and advanced spreadsheet/technical skills to monitor portfolio performance and report results to senior management.
  • Summarize findings, develop recommendations and present analyses to management in a clear, concise, convincing, and actionable format.
  • Employ best practices of data analysis and validation to ensure data results are accurate.
  • Promote innovative ways to visualize and digest complex data.
  • Create and maintain organized, efficient, and repeatable processes for monitoring portfolio performance.
  • Proactively monitor and report relevant changes in portfolio performance to management.
  • Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results.
  • Work directly with internal customers (management) to create/adjust reports to effectively communicate portfolio performance.

Qualifications
What makes You an ideal candidate?
  • Demonstrated understanding of data exploration, analysis and visualization, quantitative and analytical methods, and sophisticated reporting techniques.
  • Advanced with Microsoft Excel, PowerPoint, and Word.
  • Experience with data analysis and spreadsheet modeling and/or reporting.
  • Experience with coding (SAS or SQL preferred) for data exploration and transformation in a data warehouse environment.
  • Experience with data visualization software such as Power BI, Tableau, SAS Visual Analytics or Cognos Analytics is preferred.
  • Demonstrated quantitative skills.
  • Acute attention to detail.
  • Effective written and verbal presentation skills.
  • Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines.
  • Ability to identify and understand business issues and map them into quantitative questions.
  • Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus.

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work.
  • Skills in evaluating AI outputs for accuracy, compliance, and bias.
  • Experience integrating AI into workflows to improve efficiency or insights.
  • Familiarity with AI assisted research, summarization, and content generation.
  • Understanding of responsible AI use, including ethics and data protection.

Work Experience & Education
  • 0-2 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; experience in consumer loan or lease portfolio analysis, reporting and/or forecasting preferred.
  • High School Diploma.
  • Associate Degree.
  • Bachelor's Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field; degrees in non-quantitative fields considered with adequate work experience required.
  • Master's Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, 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.
#GMFJobs #LI-Hybrid #LI-MO1

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