Senior Data Analytics Engineer

Mercedes-Benz Financial Services USA•Atlanta, GA

About The Position

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.

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

Nice To Haves

Preferred experience includes: Business-General: 5 years
Preferred experience includes: Finance: 2 years
Preferred experience includes: Information Technology: 1 year
Master's Degree is preferred.
Recommended majors include: Accounting
Recommended majors include: Business Administration
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.
experience with Microsoft Fabric and Azure analytics services preferred.
experience with Microsoft Fabric and Azure analytics services preferred.

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%)

Benefits

Competitive salary plus an annual bonus based on company performance and/or personal yearly performance
fifteen (15) additional corporate holidays
Mercedes-Benz Employee Lease Program
Outstanding medical, dental, and vision insurance
employer-paid short and long term disability
on-site exercise facilities
generous paid Family Leave Programs - Six Weeks for New Parents
Adoption Expense Reimbursement Programs - up to $6k per child
Tuition Assistance Scholar Program - receive up to $8k in vouchers to complete business-related coursework
$6k for undergraduate
$8k for graduate
401(K) with match
generous vacation and personal time
a Mercedes-Benz car program