Marketing Analyst I

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

GM Financial is seeking a highly-motivated and talented marketing analyst with the skills necessary to use data to deliver actionable insight. As part of the Marketing Intelligence team, the Marketing Analyst I plays a key support role measuring, reporting and optimizing GM Financial's products and marketing activities. They've demonstrated through their past work experiences that they know how to work with data and have a passion for doing more. Marketing Analysts work closely with different teams and stakeholders to understand their goals and challenges, and map those to the appropriate measurement and reporting solutions. They contribute to all stages of the analytics process and work on a variety of projects - from identifying KPIs, designing tests, building dashboards, to ultimately making recommendations. Analysts bring both the technical know-how for working with data, as well as the communication and critical-thinking skills needed to explain often complex topics to different audiences.

In this role you will:

• Deliver analysis, insights, and recommendations to support enhancements of GM Financial's consumer and dealer marketing
• Collaborate with business stakeholders to understand goals, objectives, establish KPIs and ensure valid and reliable measurement and tracking
• Support GMF products and business units by developing reporting that monitors behavior and performance of marketing campaigns and channels
• Effective communication about results to different internal audiences
• Identify data discrepancies and collaborate with Integration and Developer teams for support

• Basic understanding of statistical analysis and statistical software packages (e.g. SAS, Python, SQL, etc.)
• Experience using analytics tools and technologies such as SAS, Python, Databricks, and Power BI preferred
• Advanced knowledge of Microsoft Excel
• Knowledge of the capabilities of industry tools for dashboarding such as PowerBI and/or Tableau
• Knowledge of popular testing methodologies and types of analyses used in marketing measurement (Test vs Control analysis, A/B, Multivariate, Incrementality, Break-even analysis, Lift analysis, Regression, Cluster analysis, etc.)
• Knowledge of data warehouses, data mining, and data analysis techniques
• Foundational statistical knowledge including significance testing, sampling, probability, variation, correlation, bias, etc.
• Ability to conduct data analysis to solve problems and answer questions
• Critical thinking skills - capable of understanding how measurement connects to business goals and objectives
• Passion for diving into data to uncover key insights into performance
• Ability to manage a workload with multiple projects with varying priorities with tight deadlines
• Strong verbal and written communication skills
• Detail oriented
• Strong prioritization, time management, organization and follow-up skills

• High School Diploma or equivalent required
• Bachelor's Degree in Marketing, Economics, Business Administration, Statistics or other quantitative discipline or equivalent work experience required
• Master's Degree in a quantitative discipline preferred
• 1-3 years of total relevant experience required
• 1 or more years of hands-on experience with statistical analysis software (SAS, Python, SQL, etc.) preferred

• Normal 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