Data Analyst II - Enterprise Solutions
GM Financial
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.What makes you a dream candidate?Ability to wrangle large datasets, structured and non-structured data, including data mining and manipulationDemonstrated understanding and experience with technical systems, datasets, data warehouses, data analysis techniques and data visualizationKnowledge of consumer auto lending / leasing portfolio preferredAbility 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 techniquesStrong quantitative, analytical and data interpretation skillsAbility to summarize complex data into digestible information for managementAdvanced skills in programming languages such as Python, SAS, R or similar requiredProficient in data visualization best practices and tools such as Power BI, Tableau, Databricks, SAS Visual Analytics etc. preferredAbility to identify and seek needed information/research skillsStrong written and verbal presentation skills with an ability to communicate effectively with Management by making complex concepts easy to understandAbility to be curious, ask questions, explore, and be creative when analyzing data and business problemsAcute attention to detailAbility to interact collaboratively with internal customers and external vendorsCapable of supporting multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlinesWork Experience and Education3+ years of data mining, query tool experience in a similar required3+ years experience auto finance preferredBachelor’s Degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics, other quantitative field or equivalent work experience required; Master's preferredWhat 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 positionThis position is not open to agency submissions#GMFJobs #LI-CR1 #LI-HybridAbout the roleThe 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 opportunitiesDiscover inefficiencies, risks, and improvement opportunities not previously recognized by the businessDevelop reports, dashboards, and analytical models to support decision makingQuantify potential business value associated with identified opportunitiesSupport AI, automation, and process improvement initiatives through data-driven analysisPartner with stakeholders to transform analytical findings into actionable recommendationsFull timePosting Date: 2026-10-02
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