Marketing Analyst

About 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 and commercial lending products to help dealers finance and grow their businesses.

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 work closely with different teams and stakeholders to understand goals, challenges, and map those to 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.

We pioneer the innovations that move and connect people to what matters.

• Define and shape culture by welcoming new ideas, fostering integrity, and creating a sense of community and belonging.
• 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.
• Effectively communicate results to different internal audiences.
• Identify data discrepancies and collaborate with Integration and Developer teams for support.

• 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 the behavior and performance of marketing campaigns and channels.
• Effectively communicate 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).
• Experience using analytics tools such as SAS, Python, Databricks, and Power BI or similar.
• Advanced knowledge of Microsoft Excel.
• Knowledge of dashboarding tools such as PowerBI and/or Tableau.
• Knowledge of testing methodologies used in marketing measurement (e.g., Test vs Control, A/B, Multivariate, Incrementality, Break‑even analysis, Lift analysis, Regression, Cluster analysis).
• Knowledge of data warehouses, data mining, and data analysis techniques.
• Foundational statistical knowledge including significance testing, sampling, probability, variation, correlation, bias.
• Ability to conduct data analysis to solve problems and answer questions.
• Critical thinking skills – understanding how measurement connects to business goals and objectives.
• Passion for uncovering key insights into performance.
• Ability to manage multiple projects with varying priorities and 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.