Senior Data Analytics Engineer

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

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.

• 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%)