Why GM Financial 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.
About the role:
Digital Marketing Analyst II is responsible for supporting data-driven decision-making across the enterprise. In this role, you will collaborate with diverse business units and stakeholders to understand their goals, establish key performance indicators (KPIs), and deliver insightful analyses. You will leverage a tool-agnostic approach – utilizing various data platforms (such as SAS, Databricks), programming languages like SQL, Python, and business intelligence tools like Power BI, Tableau– to gather, analyze, and visualize data. From exploratory data analysis and robust reporting to interactive dashboard development and data quality validation, you will play a critical role in transforming complex data into clear, actionable insights that drive strategic business decisions. While descriptive and diagnostic analytics (reporting and trend analysis) are the core focus of this position, you will also assist in predictive and prescriptive analytics projects (including basic modeling and forecasting) as a supporting function to enhance the depth of insights provided to stakeholders.
In this role you will:
- Collaborate with cross-functional stakeholders to understand business needs, define KPIs, and align analytics deliverables with organizational goals.
Perform exploratory data analysis using SAS, Databricks, and Python to identify trends, patterns, and insights across enterprise data sources.
Design, build, and maintain reports and interactive dashboards in Power BI to track performance and support decision-making.
Validate data accuracy and integrity by identifying discrepancies and partnering with technical teams to resolve data quality issues.
Translate analytical findings into clear, actionable insights through concise storytelling, presentations, and written summaries.
Manage multiple analytics projects simultaneously while adapting to changing priorities and stakeholder requirements.
Support experimentation and testing (A/B, multivariate, etc.)
What makes you an ideal candidate?
- Proficiency in data analysis using SAS, Python, SQL, and large-scale data platforms such as Databricks.
- Experience building reports and interactive dashboards using Power BI or comparable business intelligence tools.
- Strong understanding of data validation, data quality management, and consistent KPI definitions.
- Ability to translate complex analyses into clear, actionable insights through effective data storytelling.
- Strong critical thinking and problem-solving skills that connect analytical results to business decisions.
- Effective written and verbal communication skills with the ability to engage stakeholders at varying levels of data literacy.
- Ability to manage multiple priorities in a fast-paced, cross-functional environment.
Education & Work Experience
- 3–5 years of relevant professional experience in data analytics, business intelligence, or a related analytical role required.
- 2–4 years of hands-on experience using analytics tools and technologies such as SAS, Python, Databricks, and Power BI required.
- Demonstrated experience supporting cross-functional stakeholders with data analysis, reporting, and decision support.
- 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
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
AI Skills Preferred:
Experience with AI assisted software development or automation
Knowledge of prompting techniques to improve output quality
Awareness of emerging GenAI capabilities and limitations
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: 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-KT1
Skills Required
- Proficiency in SAS, Python, SQL, and large-scale data platforms such as Databricks
- Experience building reports and interactive dashboards using Power BI or comparable BI tools
- Strong understanding of data validation, data quality management, and consistent KPI definitions
- Ability to translate complex analyses into clear, actionable insights and effective data storytelling
- Strong critical thinking and problem-solving skills connecting analytics to business decisions
- Effective written and verbal communication skills to engage stakeholders at varying data literacy levels
- Ability to manage multiple priorities in a fast-paced, cross-functional environment
- 3-5 years of relevant professional experience in data analytics, business intelligence, or related analytical role
- 2-4 years hands-on experience with analytics tools such as SAS, Python, Databricks, and Power BI
- Demonstrated experience supporting cross-functional stakeholders with data analysis, reporting, and decision support
- High School Diploma or equivalent (Bachelor's degree in quantitative field or equivalent work experience required)
- Master's degree in a quantitative discipline
- Familiarity with AI tools (e.g., Microsoft Copilot) and evaluating AI outputs for accuracy, compliance, and bias
- Experience with AI-assisted development, automation, and prompting techniques
GM Financial Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GM Financial and has not been reviewed or approved by GM Financial.
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Strong & Reliable Incentives — Annual and performance bonuses are described as meaningful additions to total compensation. In several functions, incentives reliably boost take-home pay when available.
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Leave & Time Off Breadth — Generous paid time off, corporate and floating holidays, and paid volunteer time are emphasized. Time-away programs contribute significantly to perceived total rewards.
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Parental & Family Support — Paid parental leave and family-friendly policies are highlighted, with recent expansions mentioned in some areas. Support for bonding time is seen as a notable strength of the package.
GM Financial Insights
What We Do
GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan 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. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations.
