Graduate Analyst - Data & Machine Learning Operations

Volkswagen Financial Services, a wholly-owned subsidiary of Volkswagen Group, is the trusted key to mobility for its brand partners. We are committed to supporting the Audi, Ducati, and Volkswagen brands and their Dealers, specializing in providing accessible mobility solutions for its Customers. The company’s offerings include Retail Leasing, Retail Financing, Commercial Financing for new and used vehicles, and End-of-Term vehicle disposition.

Brief Role Description

This position is Career Level 17P located in Reston, VA, with a Role Classification of Hybrid.

• Please note, we are not able to consider OPT/CPT candidates**

Launch Your Career with Our Graduate Program

Are you ready to kick-start your career in a dynamic, fast-paced environment where learning and growth are at the forefront? Our Graduate Program is designed to equip ambitious, high-potential graduates with the skills, experience, and network needed to thrive in the industry.

Over the course of 18 months, the graduate analyst will rotate through three business areas, gaining hands-on experience, working on impactful projects, and developing critical professional skills. With mentorship, structured training, and exposure to senior leaders, this program is the gateway to building a successful and fulfilling career.

If you're a curious, motivated, and forward-thinking individual eager to make an impact, we invite you to be part of a program that invests in your growth and success.

Role Summary

The Data & Machine Learning Operations Graduate Analyst will participate in a structured rotational program across Machine Learning Operations (MLOps), Data Integration, and Business Intelligence (BI) & Data Modeling. This role is designed to provide a comprehensive understanding of how data and machine learning solutions are deployed, maintained, and optimized in a business environment. The analyst will collaborate closely with data scientists, engineers, and business users to ensure data systems and ML models are performing efficiently, securely, and deliver measurable business value.

Responsibilities within this Role

Machine Learning Operations (MLOps):

This rotation provides exposure to the operational aspects of machine learning — focusing on model deployment, performance monitoring, and lifecycle management. The analyst will bridge the gap between data science and data engineering to ensure the reliable integration of machine learning models into production systems.

Key Responsibilities:

• Support end-to-end deployment and maintenance of machine learning models.
• Monitor and maintain model performance to ensure consistent output and reliability.
• Maintain and optimize cloud-based data pipelines to support ML operations.
• Collaborate with data scientists and engineers to enhance automation and model efficiency.
• Implement best practices in MLOps, including version control, testing, and observability.
• Document processes and create reports on ML performance metrics and insights

Data Integration: This rotation focuses on the design, development, and troubleshooting of enterprise data integration solutions. The analyst will gain hands-on experience with data warehouse management, data quality assurance, and modern integration tools.

Key Responsibilities:

• Design, develop, and deploy data integration solutions based on business requirements.
• Troubleshoot and resolve production issues in a timely and efficient manner.
• Implement and maintain data quality processes for warehouse systems.
• Participate in code reviews and collaborate on data integration best practices.
• Build prototypes and proof-of-concept solutions for new data initiatives.
• Evaluate and refine leading-edge tools and technologies to enhance data integration performance.
• Educate end users on metadata and data lineage to improve data transparency.

Business Intelligence (BI) & Data Modeling: This rotation emphasizes data visualization, reporting, and user engagement. The analyst will learn how to design and manage BI tools, develop dashboards, and translate complex datasets into actionable business insights.

Key Responsibilities :

• Utilize BI tools such as Business Objects, Tableau, and SAS to extract and manage data from enterprise systems.
• Develop and maintain BI products, including dashboards, reports, and data universes.
• Administer BI platforms and support software upgrades and performance tuning.
• Apply advanced SQL skills and understand data warehouse modeling (fact/dimension structures).
• Partner with business stakeholders to deliver data consultation and ad hoc reporting.
• Provide training and documentation to enhance data literacy across teams.

Qualification requirements

Required Education:

Computer Science, Data Analytics, Information Systems, Business Analytics, or related technical discipline.

Required Skills:

• Proficiency in Microsoft Office (Excel, PowerPoint, Word) for documentation and reporting.
• Analytical problem-solving and critical thinking.
• Ability to communicate technical concepts to non-technical stakeholders.
• Strong attention to detail and commitment to data accuracy.
• Collaboration and teamwork across technical and business teams.

Volkswagen Financial Services is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.

This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security.

This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.