Senior Data Analytics Engineer
Manager
Senior
Analytics
Azure
Azure Data Platform
Azure Platform
Business Analytics
Business Intelligence
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Platform
Data Processing
Data Science
Data Visualization
Data Viz
Data Warehouse
Database
Databases
Dataviz
Design
Digital Marketing
Engineer
Information Technology (IT)
Microsoft
Microsoft Fabric
Power BI
Power Platform
Reporting and Analytics
SQL
Tableau
Visual Design
Job Description
Mercedes-Benz Financial Services USA LLC is seeking a Senior Data Analytics Engineer based in Atlanta, GA (onsite). In this role, you will partner across business stakeholders and technology teams to deliver reporting, analytics, and decision-support solutions, helping drive scalable self-service analytics through strong analytics domain leadership.
What you’ll do
- Lead analytics delivery (25%): Partner with business stakeholders to gather requirements, define business metrics, analyze data, and enable effective use of analytics for decision-making.
- Build reusable analytics foundations (25%): Design, develop, and maintain analytical data models, reporting datasets, semantic structures, and reusable analytics assets to support consistent, accurate, and scalable self-service analytics.
- Own the data and analytics domain (25%): Assess impacts, define requirements, guide solution design, and ensure successful delivery across reporting, analytics, and data outcomes.
- Provide technical leadership (20%): Mentor team members and contractors, coordinate day-to-day work, prioritize business demand, allocate resources, conduct solution reviews, and help establish development standards and best practices.
- Support compliance activities (5%): Promote adherence to A22 - Global Data & Information Policy, maintain required documentation, and provide complete, accurate, and timely information for audits, risk reviews, and regulatory reporting requirements.
What you bring
- Minimum 5 years of overall work experience
- U.S. work authorization required at the time of application
- Education: Bachelor’s degree required; Master’s degree preferred (recommended majors include Accounting and Business Administration)
- Preferred experience areas: Business-General (5 years), Finance (2 years), Information Technology (1 year)
- Minimum knowledge (5+ years) in business intelligence, reporting, analytics, and data visualization concepts
- Minimum knowledge (5+ years) in data warehousing, dimensional modeling, semantic modeling, and enterprise data management practices
- Minimum knowledge (5+ years) in business processes and data domains such as Finance, Credit, Collections, Client Services, Risk, or similar operational functions
- Minimum knowledge (5+ years) in modern analytics platforms, cloud-based data environments, and self-service analytics concepts
- Experience collecting data, establishing facts, and identifying trends and variance
- Analytical and facilitation skills
- Programming and data skills including testing, database, and application development
- Working knowledge of Microsoft Office and SAP
- Skills in presentation, problem solving, and project management (project leader and team member)
- 5+ years translating business requirements into reporting and data solutions; writing and optimizing complex SQL queries; data analysis, validation, and troubleshooting
- 3+ years designing and supporting analytical data models, semantic models, reporting datasets, and reusable analytics assets
- 3+ years with enterprise analytics and visualization platforms such as Power BI, Tableau (Microsoft Fabric and Azure analytics services preferred)
- 2+ years using Python, R, or similar tools for data analysis, automation, data profiling, or advanced analytics
- 3+ years presenting findings and communicating effectively with business and technical stakeholders
- 3+ years leading analytics initiatives, coordinating cross-functional teams, and mentoring team members
- Additional preferred certificates (equivalents may be substituted): Microsoft Certified: Power BI Data Analyst Associate, Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Azure Data Engineer Associate
Technologies you’ll work with
Power BI, Tableau, Microsoft Fabric, Azure, Microsoft Office, SAP, SQL, Python, R
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 plus on-site exercise facilities
- Six Weeks for New Parents (paid Family Leave Programs)
- Adoption Expense Reimbursement Programs - up to $6k per child
- Tuition Assistance Scholar Program - receive up to $8k in vouchers to complete business-related coursework
- 401(K) with match
- Mercedes-Benz car program
- Flexible work arrangements
- Mitarbeiter Events
- Mitarbeiterrabatte möglich
- Mitarbeiterhandy möglich
- Mobilitätsangebote
- Betriebliche Altersversorgung
- Gesundheitsmaßnahmen
- Coaching
Additional information
- Relocation assistance will not be provided for this position
Contact
Mercedes-Benz Financial Services USA LLC
One Mercedes-Benz Drive30328 Atlanta
NAFTA SSC E-Mail: [email protected]