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Data Visualization Specialist

Volkswagen Group of America
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Title: Data Visualization Specialist

Product Support serves as the primary quality liaison between the factories and the market. The Data Visualization Specialist creates interactive dashboards and visual reports that track warranty claims, product quality metrics, and customer satisfaction data. This entry-level role is ideal for a detail-oriented individual with a passion for data visualization who wants to contribute directly to improving vehicle quality and the customer experience.

Years of Experience:
1–3 years of hands-on experience with data visualization (including internships, academic projects, personal portfolios, or relevant coursework). Demonstrated ability to build clear, accurate dashboards is more important than years of formal experience. Automotive or manufacturing experience is a plus but not required.

Description:
Dashboard Development – 70%

  • Develop and maintain interactive dashboards in Power BI to monitor warranty claims, defect rates, long-term quality issues, and high-cost drivers
  • Collaborate with warranty analysts and quality engineers to clarify data needs and design visualizations that surface key trends and actionable insights
  • Transform raw warranty and quality data (repair orders, part failure rates, claim volumes, etc.) into clear, trustworthy visuals for team reviews and management reporting
  • Perform basic data cleaning, validation, and transformation (Power Query / Excel / light SQL or Python) to ensure accuracy before visualization
  • Refresh and enhance dashboards regularly to incorporate new monthly claims data, field quality audits, and evolving business questions
  • Present insights to non-technical stakeholders (quality managers, service teams, leadership) in a simple, impactful, and story-driven manner
  • Document dashboard logic, data sources, refresh processes, and design decisions so the team can maintain and extend the work

 

Field Reporting (30%)

  • Support data analysts within VW Technical Service by preparing data and contributing to traditional (Excel/PowerPoint) and visual reporting
  • Help maintain data integrity and quality control for monthly, quarterly, and annual quality reports used by upper management
  • Quickly and accurately gather, clean, and format data in response to management or cross-functional requests

 

Education

Required

  • Bachelor’s degree in Data Science, Business Analytics, Computer Science, Engineering, Statistics, Information Systems, or a closely related field (or equivalent practical experience)

Desired

  • Master’s degree in Business Administration, Analytics, or a related discipline.

 

Required Skills & Experience

  • Proficiency in Microsoft Power BI (Desktop and Service): ability to build interactive reports, basic data models, and clear visuals
  • Foundational knowledge of data preparation and manipulation using Excel (Power Query preferred), basic SQL, or Python for cleaning and shaping datasets
  • Comfort interpreting numerical data — percentages, rates, counts, time-series trends, and simple comparisons
  • Strong attention to detail and commitment to data accuracy and visual integrity
  • Clear written and verbal communication skills; ability to explain findings to both technical and non-technical audiences
  • Curiosity and willingness to understand automotive warranty and quality processes


Preferred Skills 

  • Working knowledge of DAX measures and calculated columns, or demonstrated ability to learn them quickly
  • Exposure to automotive, manufacturing, or warranty/quality data (claims, parts, repair orders, defect tracking)
  • Basic statistics or quality metrics familiarity (defect rates, claim rates, Pareto analysis, etc.)
  • Portfolio of personal or academic Power BI dashboards (highly valued for entry-level candidates)
  • German and/or Spanish language skills

 

Work Flexibility

Domestic and occasional international travel required — approximately 5%.

This is an entry-level position designed for growth. Successful candidates will receive mentoring on Power BI best practices, automotive quality data, and stakeholder communication while contributing meaningful visualizations from day one.