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GM Financial
GM Financial
5.001 – 10.000 Angajați
ConsultanțăIndustria autoLogistică
GM Financial este compania de finanțare captivă a General Motors, oferind soluții de finanțare și leasing auto pentru consumatori, dealeri, clienți comerciali și flote. Serviciile sale includ finanțarea vehiculelor, gestionarea contractelor de leasing, precalificarea, instrumente pentru administrarea conturilor și plățile mobile, finanțarea vehiculelor electrice, asistență la încheierea leasingului, creditare comercială, soluții pentru flote și produse pentru investitori. Compania reunește expertiză în domeniul auto, al serviciilor financiare și al creditării pentru companii în cadrul operațiunilor sale pentru consumatori și clienți comerciali.
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Data Analyst II – Enterprise Solutions | GM Financial | Fort Worth Hybrid

Data Analyst II supporting GM Financial through complex data analysis, dashboards, models, and business recommendations. The role contributes to AI, automation, risk reduction, and process improvement initiatives.

USStatele Unite ale AmericiiTXTexasHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăAnalist de date
PythonTableau

Descriere

  • Collect, research, analyze, and present findings related to portfolio performance
  • Apply advanced analytical methods to reduce risk and uncover data capture and reporting opportunities
  • Collaborate with business teams and IT to build streamlined data and decision-support solutions
  • Contribute to modeling activities as needed
  • Provide business insight and analytical expertise aligned with company objectives
  • Examine large, complex datasets to uncover trends, patterns, and opportunities
  • Identify previously overlooked inefficiencies, risks, and areas for improvement
  • Create reports, dashboards, and analytical models that inform decisions
  • Estimate the potential business value of identified opportunities
  • Advance AI, automation, and process improvement efforts through data analysis
  • Work with stakeholders to turn analytical results into practical recommendations

Cerințe

  • Ability to prepare and analyze large structured and unstructured datasets through data mining and manipulation
  • Experience with technical systems, datasets, data warehouses, analytical methods, and data visualization
  • Knowledge of consumer auto lending or leasing portfolios preferred
  • Ability to create and implement process documentation and monitoring procedures
  • Experience working with relational and dimensional datasets
  • Strong quantitative reasoning, analytical ability, and data interpretation skills
  • Ability to distill complex data into clear information for management
  • Advanced proficiency in Python, SAS, R, or a comparable programming language required
  • Proficiency in data visualization principles and tools such as Power BI, Tableau, Databricks, and SAS Visual Analytics preferred
  • Strong research skills with the ability to locate and pursue necessary information
  • Strong written and verbal presentation abilities
  • Ability to collaborate with internal customers and external vendors
  • Ability to manage multiple projects and competing tasks under time-sensitive conditions
  • At least 3 years of data mining and query tool experience in a comparable role required
  • At least 3 years of auto finance experience preferred
  • Bachelor’s degree in Economics, Mathematics, Business Analytics, Computer Science, Statistics, another quantitative discipline, or equivalent work experience required
  • Master’s degree preferred
  • Candidates requiring visa sponsorship cannot be considered
  • The position does not accept agency submissions

Beneficii

  • 401(k) matching
  • 12 weeks of fully paid bonding leave for new parents
  • Tuition assistance
  • Training opportunities
  • GM employee vehicle discount
  • Paid community service time
  • Nine company holidays
  • Eligibility for bonuses
  • Flexible hybrid work environment

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