Advanced Analytics Lead

Mercedes-Benz Financial Services USA•Atlanta, GA

About The Position

The Advanced Analytics Lead is responsible for identifying, developing, and implementing advanced analytics and artificial intelligence solutions that support business objectives and improve decision-making across the organization. The role partners with business stakeholders and technology teams to identify opportunities to address business problems using predictive analytics, machine learning, automation, and emerging AI capabilities. The position helps business teams apply advanced analytics and AI to improve decision-making and business outcomes. As the subject matter expert for advanced analytics and AI within DIAA, the position provides technical leadership for advanced analytics initiatives and helps ensure analytical solutions are practical, effective, and aligned with business needs.

Requirements

  • Applicants must be legally authorized to work in the U.S. at the time of application.
  • This position requires a minimum of 5 years of overall work experience.
  • Bachelor's Degree is required
  • Analytical skills: Ability to review and interpret and evaluate statistical information
  • Facilitation skills
  • IT skills
  • Programming
  • Database
  • PC Skills
  • Microsoft Office
  • Presentation Skills
  • Problem Solving skills
  • Project Management skills
  • Project leader
  • 3+ years of experience required applying statistical analysis, predictive modeling, machine learning, artificial intelligence, natural language processing, and data mining techniques to solve business problems and support decision-making.
  • 3+ years of experience required preparing, exploring, and analyzing structured and unstructured data using data profiling, statistical analysis, pattern recognition, and other analytical techniques.
  • 3+ years of experience required developing, validating, and implementing predictive models, machine learning solutions, and AI applications.
  • 3+ years of experience required using analytical programming languages and tools such as Python, R, SQL, or similar technologies for data analysis, model development, automation, and advanced analytics.
  • 2+ years of experience required with cloud-based analytics and AI platforms, including Microsoft Azure AI Services, Azure Machine Learning, Microsoft Fabric, or similar technologies.
  • Strong data visualization, storytelling, and presentation skills, with the ability to communicate analytical findings and recommendations to both business and technical audiences.

Nice To Haves

  • Relocation assistance will not be provided for this position.
  • Preferred experience includes: Business-General: 5 years Information Technology: 2 years Management: 2 years Strategy: 1 year
  • Master's Degree is preferred.
  • Recommended majors include: Computer/Information Science Economics

Responsibilities

  • Identify opportunities to apply advanced analytics, machine learning, automation, and artificial intelligence to business problems by partnering with stakeholders to understand needs, evaluate available data, and define analytical approaches. (25%)
  • Prepare, explore, and analyze structured and unstructured data using techniques such as data profiling, statistical analysis, pattern recognition, data mining, and natural language processing, and clearly communicate findings and recommendations. (20%)
  • Design, develop, test, and implement predictive models, machine learning solutions, and AI applications, including documenting methods, validating results, and interpreting outputs for business use. (25%)
  • Develop and maintain processes that support repeatable data preparation, analysis, model deployment, monitoring, and maintenance, including automation where appropriate. (15%)
  • Provide technical leadership for advanced analytics and AI by evaluating emerging analytical techniques and technologies, establishing development standards, supporting data governance requirements, and promoting adherence to A22 - Global Data & Information Policy. (15%)

Benefits

  • Competitive salary plus an annual bonus based on company performance and/or personal yearly performance
  • fifteen (15) additional corporate holidays
  • Mercedes-Benz Employee Lease Program
  • Outstanding medical, dental, and vision insurance
  • employer-paid short and long term disability
  • on-site exercise facilities
  • generous paid Family Leave Programs - Six Weeks for New Parents
  • Adoption Expense Reimbursement Programs - up to $6k per child
  • Tuition Assistance Scholar Program - receive up to $8k in vouchers to complete business-related coursework
  • $6k for undergraduate
  • $8k for graduate
  • 401(K) with match
  • generous vacation and personal time
  • a Mercedes-Benz car program
  • flexible work arrangements
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