Aufgaben 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
- PC Skills
- Presentation Skills
- Problem Solving skills
- Project Management skills
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. .