GM Financial's Business Solutions & Transformation team is seeking a Data Analyst II to perform data collection, research, analysis, and presentation of findings that affect portfolio performance. This role uses complex analysis to mitigate risks and identify opportunities related to capturing and reporting data. The Data Analyst II will collaborate with IT and other business units to create streamlined data and decision-support solutions and may assist in modeling efforts. The position requires interaction with other departments and providing business insight and expertise to help achieve 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; develop reports, dashboards, and analytical models to support decision making; quantify potential business value of identified opportunities; support AI, automation, and process-improvement initiatives through data-driven analysis; and partner with stakeholders to translate analytical findings into actionable recommendations. Qualifications include: 3+ years of data mining and query experience (auto finance experience preferred); a Bachelor's degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics, or another quantitative field (Master's preferred); strong programming skills (Python, SAS, R or similar) and data visualization experience with tools such as Power BI, Tableau, Databricks, SAS Visual Analytics; experience with data warehouses and managing structur

GM Financial's Business Solutions & Transformation team is seeking a Data Analyst II to perform data collection, research, analysis, and presentation of findings that affect portfolio performance. This role uses complex analysis to mitigate risks and identify opportunities related to capturing and reporting data. The Data Analyst II will collaborate with IT and other business units to create streamlined data and decision-support solutions and may assist in modeling efforts. The position requires interaction with other departments and providing business insight and expertise to help achieve 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; develop reports, dashboards, and analytical models to support decision making; quantify potential business value of identified opportunities; support AI, automation, and process-improvement initiatives through data-driven analysis; and partner with stakeholders to translate analytical findings into actionable recommendations. Qualifications include: 3+ years of data mining and query experience (auto finance experience preferred); a Bachelor's degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics, or another quantitative field (Master's preferred); strong programming skills (Python, SAS, R or similar) and data visualization experience with tools such as Power BI, Tableau, Databricks, SAS Visual Analytics; experience with data warehouses and managing structur