Advanced Analytics Lead

We need to output HTML fragment with sections: About the role? Actually we have "Job Overview" and "Responsibilities", "Qualifikationen" (German) but we need to map to headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include sections only if posting has real specific content. We have: - About Us: description of company (maybe not needed as About the role? Actually "About Us" is about company, not role. The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should map content accordingly. We have "Job Overview" which is about the role. So we can put that under

About the role

(or maybe "Job Overview" is about the role). Use

for prose. Responsibilities: we have list with percentages. Use

• . Qualifikationen: includes Qualifications (legal auth, relocation, min 5 years, preferred experience, education). Also "Skills" section includes many skill bullet points. Also "Additional Skills" with years of experience. We need to separate Requirements, Qualifications, Skills. The posting lumps qualifications and skills. We need to decide what goes where. We have: - 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 yearsInformation Technology: 2 yearsManagement: 2 yearsStrategy: 1 year Education: Bachelor's Degree is required, Master's Degree is preferred. Recommended majors include: Computer/Information Science Economics That's qualifications. - 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. Thus we can put skill list under Skills heading. We also have Benefits: described earlier: "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" Also later: "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." Thus we have benefits content. Pay: mention competitive salary plus annual bonus, also later competitive salary, performance-based bonuses. So we can include Pay section. Schedule: not mentioned. So we should not include Schedule. We also have "About Us" which is company description; maybe we can put under About the role? Actually About the role is about the job, not company. But we have no explicit "About the role" besides Job Overview. The "About Us" is company description; we could possibly omit as not required heading? The instruction: use h3 for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't say we must include About the role; we can include if we have content. We have Job Overview which is about the role. So we can put that under About the role. We also have "Why work at Mercedes-Benz Financial Services?" which is more about company culture; could be part of About the role or maybe we could incorporate into About the role paragraph. We must preserve all substantive information; do not invent or summarize away detail. So we need to include the company description and why work there? Probably we can include that in About the role section as prose. We must not repeat the job title as a heading. The job title is "Advanced Analytics Lead". Not to be used as heading. We must not put Job ID/requisition numbers as headings; none present. We must remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. At the end there is EEO/Minorities/Females/Disabled/Vets Benefits Mitarbeiter Events Mitarbeiterrabatte möglich Mitarbeiterhandy möglich Mobilitätsangebote Betriebliche Altersversorgung Gesundheitsmaßnahmen Coaching KontaktMercedes-Benz Financial Services USA LLC One Mercedes-Benz Drive30328 Atlanta NAFTA SSC E-Mail: nafta_ssc_recruiting@mercedes-benz.com Bewerben We need to drop that. Also there is a duplicate "Benefits" heading earlier; we will keep benefits content. We must not include sections with filler like "commensurate with experience". Not present. Now produce HTML fragment. Structure:

  About the role

  ... (Job Overview + Why work at Mercedes-Benz Financial Services + About Us description)

  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%)

  Requirements

  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.

  Qualifications

  • Preferred experience: Business-General: 5 years; Information Technology: 2 years; Management: 2 years; Strategy: 1 year.
  • Education: Bachelor's Degree required; Master's Degree preferred.
  • Recommended majors: Computer/Information Science, Economics.

  Skills

  • Analytical skills: Ability to review, interpret, and evaluate statistical information.
  • Facilitation skills.
  • IT skills.
  • Programming skills.
  • Database skills.
  • PC skills.
  • Microsoft Office skills.
  • Presentation skills.
  • Problem solving skills.
  • Project management skills.
  • Project leadership.
  • Additional Skills:
  • 3+ years of experience 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 preparing, exploring, and analyzing structured and unstructured data using data profiling, statistical analysis, pattern recognition, and other analytical techniques.
  • 3+ years of experience developing, validating, and implementing predictive models, machine learning solutions, and AI applications.
  • 3+ years of experience 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 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.
  But nested ul may be okay. However we could flatten. Better to keep simple: each bullet as li. We'll flatten the additional skills as separate li. Thus:

  Skills

  • Analytical skills: Ability to review, interpret, and evaluate statistical information.
  • Facilitation skills.
  • IT skills.
  • Programming skills.
  • Database skills.
  • PC skills.
  • Microsoft Office skills.
  • Presentation skills.
  • Problem solving skills.
  • Project management skills.
  • Project leadership.
  • 3+ years of experience 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 preparing, exploring, and analyzing structured and unstructured data using data profiling, statistical analysis, pattern recognition, and other analytical techniques.
  • 3+ years of experience developing, validating, and implementing predictive models, machine learning solutions, and AI applications.
  • 3+ years of experience 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 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.

  Benefits

  • Competitive salary plus an annual bonus based on company performance and/or personal yearly performance.
  • Fifteen (15) additional corporate holidays in addition to vacation time.
  • Mercedes-Benz Employee Lease Program (eligible for all employees).
  • Outstanding medical, dental, and vision insurance; employer-paid short and long term disability; on-site exercise facilities.