Senior Data Analytics Engineer

Daimler AG; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Annual bonus

15 corporate holidays + vacation

Employee Lease Program

Medical, dental, vision insurance

Short and long-term disability

Six weeks family leave

Tuition assistance up to $8k

Job summary

Mercedes-Benz Financial Services in the United States is seeking a Senior Data Analytics Engineer to partner with business and technology teams to deliver reporting, analytics, and decision-support solutions.

You will define requirements, data models, and ensure delivery; lead analytics initiatives, mentor teammates, and promote scalable self-service analytics.

Qualifications

• Minimum 5 years of knowledge in BI, reporting, analytics, and data visualization concepts.
• ,

Responsibilities

• Lead design and delivery of reporting, analytics, and data visualization by gathering requirements and metrics.
• Design, develop and maintain analytical data models and datasets.
• Act as analytics domain lead across initiatives, guiding solution design and delivery.
• Provide technical leadership, mentorship, and coordinate team effort.
• Support compliance activities and audits with proper documentation.

Skills

Analytical skills

Facilitation

IT skills

Programming

Testing

Database

Application development

Microsoft Office

SAP

Presentation skills

Problem Solving

Project Management

Power BI

Education

Bachelor's Degree

Master's Degree

Accounting

Business Administration

Tools

Power BI

SAP

SQL

Python

R

Microsoft Fabric

Azure Data Services

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 Senior Data Analytics Engineer partners with business stakeholders and technology teams to deliver reporting, analytics, and decision-support solutions that enable informed business decisions. Acting as the data and analytics domain lead, the role is responsible for defining requirements, establishing business metrics and reporting standards, designing analytical data models and reporting datasets, and ensuring successful delivery of analytics capabilities.

The position provides leadership on complex analytics initiatives, mentors other analytics professionals, and helps drive the adoption of scalable reporting and self-service analytics solutions. Through a combination of business knowledge, analytical expertise, and technical leadership, the Senior Data Analytics Engineer helps strengthen the organization’s analytics capabilities and effective use of data.

Responsibilities:

• Lead the design and delivery of reporting, analytics, and data visualization solutions by partnering with business stakeholders to gather requirements, define business metrics, analyze data, and enable effective use of analytics for decision-making. (25%)
• Design, develop, and maintain analytical data models, reporting datasets, semantic structures, and reusable analytics assets that support consistent, accurate, and scalable reporting and self-service analytics capabilities across the organization. (25%)
• Act as the data and analytics domain lead across business and technology initiatives by assessing impacts, defining requirements, guiding solution design, and ensuring successful delivery of reporting, analytics, and data-related outcomes. (25%)
• Provide technical leadership, mentorship, and day-to-day work coordination for team members and contractors, including prioritization of business demand, resource allocation, solution reviews, and establishment of development standards and best practices. (20%)
• Support compliance activities by promoting adherence to A22 - Global Data & Information Policy, maintaining required documentation, and providing complete, accurate, and timely information for audits, risk reviews, and regulatory reporting requirements. (5%)

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
• Finance: 2 years
• Information Technology: 1 year

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

• Accounting
• Business Administration

Additional Preferred Certificates:

• Microsoft Certified: Power BI Data Analyst Associate
• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Equivalent certifications in business intelligence, analytics, data engineering, data management, or cloud data platforms may be substituted.

Additional Knowledge:

Minimum 5 years of knowledge required in the following:
- Business intelligence, reporting, analytics, and data visualization concepts.
- Data warehousing, dimensional modeling, semantic modeling, and enterprise data management practices.
- Business processes and data domains such as Finance, Credit, Collections, Client Services, Risk, or similar operational functions.
- Modern analytics platforms, cloud-based data environments, and self-service analytics concepts.

Skills:

• Analytical skills:
  • Ability to Collect data and establish facts and identify trends and variance
• Facilitation skills
• IT skills
  • Programming
  • Testing
  • Database
  • Application development
• PC skills
  • Microsoft Office
  • SAP
• Presentation skills
• Problem Solving skills
• Project Management skills
  • Project leader
  • Team member

Additional Skills:

• 5+ years of experience required in gathering, analyzing, and documenting business requirements and translating them into reporting, analytics, and data solutions.
• 5+ years of experience required in writing and optimizing complex SQL queries and performing data analysis, validation, and troubleshooting.
• 3+ years of experience required in designing and supporting analytical data models, semantic models, reporting datasets, and reusable analytics assets.
• 3+ years of experience required with enterprise analytics and visualization platforms such as Power BI, Tableau, or similar solutions; experience with Microsoft Fabric and Azure analytics services preferred.
• 2+ years of experience required in using Python, R, or similar tools for data analysis, automation, data profiling, or advanced analytics.
• 3+ years of experience required in presenting analytical findings, facilitating discussions, and communicating effectively with business and technical stakeholders.
• 3+ years of experience required in leading analytics initiatives, coordinating cross-functional teams, and mentoring team members.

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. .

EEO/Minorities/Females/Disabled/Vets

#LI-JM2