Financial Composite Data Analyst

NADA-posted 4 months ago
Full-time • Entry Level
Mclean, VA
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NADA is looking for a Financial Composite Data Analyst to join our team! In this role, you’ll be responsible for processing monthly dealership financial statement data from automotive and truck dealers across the country to produce NADA’s industry-leading financial composite reports. Your work will directly support NADA’s 20 Group programs and Academy classes, helping dealers benchmark performance and drive business success. This is a full-time position based in Tysons, VA with a collaborative team culture, competitive salary, and excellent benefits. This role requires an in-office presence to support close collaboration and data processing deadlines.

  • Accurately collect, review, and process financial statement data from over 400 automotive and truck dealerships each month.
  • Create and maintain monthly financial composite reports used by NADA’s 20 Group Consultants, Academy Instructors, and dealership leaders.
  • Analyze and edit dealership financial data using NADA’s proprietary composite system, ensuring accuracy and data integrity.
  • Contact dealerships to resolve data discrepancies and follow up on missing statements.
  • Prepare financial composite materials for 20 Group meetings and Academy classes, coordinating closely with NADA’s print center to ensure timely delivery.
  • Maintain and update Standard Operating Procedures (SOPs) for data collection and composite reporting.
  • Assist with annual updates to financial templates and systems to reflect industry changes.
  • Collaborate with internal teams to proactively communicate issues or delays, helping ensure seamless operations.
  • Minimum of 2 years of experience in an analytical, financial, or data processing role.
  • High school diploma required; college coursework or relevant professional certifications are a plus.
  • Familiarity with automotive dealership financial statements is a plus—or a strong willingness to learn.
  • Working knowledge of basic accounting principles.
  • Exceptional attention to detail and strong organizational skills, with the ability to manage multiple priorities and meet tight deadlines.
  • Intermediate proficiency in Excel (pivot tables, VLOOKUPs, data analysis functions).
  • Experience with data management software or business intelligence tools (SQL, Tableau, Power BI) is a plus.
  • Excellent communication and customer service skills with a collaborative, team-oriented mindset.
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