Job description

Why Business Solutions & Transformation? Business Solutions & Transformation helps GM Financial improve how the business runs. We work with leaders across the company to understand their processes and challenges. We then recommend and deliver solutions using AI agents, automation, process redesign, data science and analytics. Our team works directly with senior business leaders, and our projects affect how GM Financial serves its customers and supports its employees. At Business Solutions & Transformation , you'll share new ideas and see your recommendations put into practice. We value curiosity, teamwork and clear thinking, and we measure our success by the results we deliver for the business. Our Focus: We find and deliver the right solutions to improve how GM Financial works. About the role The Data Analyst II - Business Solutions & Transformation is responsible for performing data collection, research, analysis and presentation of findings that affect portfolio performance. This position will use complex analysis concepts to mitigate risks and identify opportunities relating to capturing and reporting data. The Data Analyst II will work alongside various business units including IT to create streamlined data and decision-support solutions. This role may be required to assist in modeling efforts. This position will interact with other departments and by required to provide business insight and expertise in the interest of achieving the overall company objectives. In this role you will: • Analyze large and complex datasets to identify trends, patterns, and business opportunities • Discover inefficiencies, risks, and improvement opportunities not previously recognized by the business • Develop reports, dashboards, and analytical models to support decision making • Quantify potential business value associated with identified opportunities • Support AI, automation, and process improvement initiatives through data-driven analysis • Partner with stakeholders to transform analytical findings into actionable recommendations What makes you a dream candidate? • Ability to wrangle large datasets, structured and non-structured data, including data mining and manipulation • Demonstrated understanding and experience with technical systems, datasets, data warehouses, data analysis techniques and data visualization • Knowledge of consumer auto lending / leasing portfolio preferred • Ability to design and implement process documentation and monitoring protocols, demonstrated understanding and experience with technical systems, relational and dimensional datasets, data warehouses, and data analysis techniques • Strong quantitative, analytical and data interpretation skills • Ability to summarize complex data into digestible information for management • Advanced skills in programming languages such as Python, SAS, R or similar required • Proficient in data visualization best practices and tools such as Power BI, Tableau, Databricks, SAS Visual Analytics etc. preferred • Ability to identify and seek needed information/research skills • Strong written and verbal presentation skills with an ability to communicate effectively with Management by making complex concepts easy to understand • Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems • Acute attention to detail • Ability to interact collaboratively with internal customers and external vendors • Capable of supporting multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines Work Experience and Education • 3+ years of data mining, query tool experience in a similar required • 3+ years experience auto finance preferred • Bachelor’s Degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics, other quantitative field or equivalent work experience required; Master's 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-CR1 #LI-Hybrid The Data Analyst II supports Business Solutions & Transformation by analyzing complex datasets to uncover trends, risks, inefficiencies, and opportunities, then translating findings into actionable recommendations that improve business performance. The role requires strong analytical and programming skills, experience with data visualization and large datasets, and the ability to partner across teams to support AI, automation, process improvement, and data-driven decision-making.

Requirements

Must-haves

Why Business Solutions & Transformation?
Our team works directly with senior business leaders, and our projects affect how GM Financial serves its customers and supports its employees.
Our Focus: We find and deliver the right solutions to improve how GM Financial works.
Analyze large and complex datasets to identify trends, patterns, and business opportunities
Discover inefficiencies, risks, and improvement opportunities not previously recognized by the business
Develop reports, dashboards, and analytical models to support decision making
Quantify potential business value associated with identified opportunities
Support AI, automation, and process improvement initiatives through data-driven analysis
Partner with stakeholders to transform analytical findings into actionable recommendations
What makes you a dream candidate?
Ability to wrangle large datasets, structured and non-structured data, including data mining and manipulation
Demonstrated understanding and experience with technical systems, datasets, data warehouses, data analysis techniques and data visualization
Strong quantitative, analytical and data interpretation skills
Ability to summarize complex data into digestible information for management
Advanced skills in programming languages such as Python, SAS, R or similar required
Ability to identify and seek needed information/research skills
Strong written and verbal presentation skills with an ability to communicate effectively with Management by making complex concepts easy to understand
Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
Acute attention to detail
Ability to interact collaboratively with internal customers and external vendors

Nice-to-haves

Knowledge of consumer auto lending / leasing portfolio preferred
Proficient in data visualization best practices and tools such as Power BI, Tableau, Databricks, SAS Visual Analytics etc. preferred
3+ years experience auto finance preferred
Bachelor’s Degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics, other quantitative field or equivalent work experience required; Master's preferred

Application prep

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Benefits

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401k