Advanced Analytics Lead

Daimler AG; Atlanta (GA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and bonuses

401(k) with match

Generous vacation time

Car program

Job summary

Mercedes-Benz Financial Services is seeking an Advanced Analytics Lead to identify, develop, and implement analytics and AI solutions that align with business goals.

You will partner with stakeholders and tech teams to leverage predictive analytics, ML, automation, and emerging AI capabilities to improve decision-making across the organization.

Qualifications

• Bachelor's Degree is required; Master's Degree preferred.
• Strong background in analytics, statistics, and data mining.
• Experience with predictive modeling, ML, AI, and NLP advantageous.
• 3+ years applying advanced analytics to solve business problems.
• Proficiency with Python, R, SQL and data visualization tools.

Responsibilities

• Identify opportunities to apply advanced analytics and AI to business problems with stakeholders.
• Prepare, analyze, and communicate findings from structured and unstructured data.
• Design, develop, test, and implement predictive models and AI applications.
• Develop repeatable data preparation, analysis, and model deployment processes.
• Provide technical leadership and promote adherence to data governance and standards.

Skills

Analytical skills

Facilitation skills

IT skills

Presentation skills

Problem solving

Project management

Education

Bachelor's degree

Master's degree

Tools

Programming

Database

Python

R

SQL

Azure AI Services

Azure Machine Learning

Microsoft Fabric

Job description

Aufgaben

About Us:

Who is Mercedes-Benz Financial Services?
Mercedes-Benz Financial Services, part of the global company Mercedes-Benz Mobility AG is the captive financing and mobility solutions company of the global luxury automobile manufacturer, Mercedes-Benz AG. We offer a comprehensive range of automotive financial and insurance products that make it easy for our customers to drive their dream Mercedes-Benz vehicle.
Why work at Mercedes-Benz Financial Services?
Working at Mercedes-Benz Financial Services is more than a job – it’s an opportunity to join an innovative team where you are valued for your contributions. As an employee, you will experience career development in a positive, employee-centric environment. We’re a global company that not only offers best-in-class products to our customers but also best-in-class benefits to our employees. Our employees experience a comfortable, friendly environment and relaxed, inclusive culture.

Benefits

When working at Mercedes-Benz Financial Services, you will enjoy a comprehensive and amenity-rich benefits package offering something for every employee at each stage of their life.

As a new employee, you will have the opportunity to take advantage of the following benefits that go beyond – beginning day one:

Get Rewarded! Competitive salary plus an annual bonus based on company performance and/or personal yearly performance

Need a vacation? How about just some time for YOU! In addition to our vacation time, you’ll receive fifteen (15) additional corporate holidays, which will allow you to celebrate religious holidays or escape to the spa! Designed to be flexible, we let you decide which days are most important to you!

Ride in Style - All employees are eligible to participate in the Mercedes-Benz Employee Lease Program

We want you to be healthy! Outstanding medical, dental, and vision insurance, employer-paid short and long term disability plus on-site exercise facilities

Is your family growing? Enjoy generous paid Family Leave Programs - Six Weeks for New Parents; Adoption Expense Reimbursement Programs - up to $6k per child

Want to go back to school? Tuition Assistance Scholar Program - receive up to $8k in vouchers to complete business-related coursework

• $6k for undergraduate
• $8k for graduate

Job Overview:

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.

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%)

Qualifikationen

Qualifications:

Applicants must be legally authorized to work in the U.S. at the time of application. Relocation assistance will not be provided for this position.
This position requires a minimum of 5 years of overall work experience. Preferred experience includes:

• Business-General: 5 years
• Information Technology: 2 years
• Management: 2 years
• Strategy: 1 year

Education:
Bachelor's Degree is required, Master's Degree is preferred. Recommended majors include:

• Computer/Information Science
• Economics

Skills:

• 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

Additional Skills:

• 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.

Mercedes-Benz Financial Services offers competitive salary, performance-based bonuses and a full suite of benefits including 401(K) with match, generous vacation and personal time, a Mercedes-Benz car program as well as flexible work arrangements. .

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