Volkswagen Group

Graduate Analyst – Data & Machine Learning Operations

Volkswagen Group

full-time

Posted on:

Location Type: Hybrid

Location: RestonVirginiaUnited States

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Job Level

Tech Stack

About the role

  • 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.
  • 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.
  • 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.

Requirements

  • Proficiency in Microsoft Office (Excel, PowerPoint, Word)
  • 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
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningMLOpsdata integrationSQLdata quality processesdata pipelinesdata warehouse modelingBI productsdata performance metricsautomation
Soft Skills
analytical problem-solvingcritical thinkingcommunicationattention to detailcollaborationteamwork