Modeling & Analytics Specialist (USI6)

VSE AVIATION•Davie, FL
•Onsite

About The Position

The Modeling & Analytics Specialist supports VSE Aviation’s asset management function by tracking, analyzing, and modeling the market value, demand trends, and risk exposure of company inventories. The role monitors external market factors that influence inventory value and translates market intelligence into actionable insights for product line teams. It partners closely with product line leadership so investment decisions and inventory actions are informed by timely, accurate data. The position also supports the maintenance and enhancement of modeling tools used for these decisions. The specialist monitors market factors and demand signals, analyzes historical and real-time value trends, and maintains data sources and benchmarks. The role maintains and enhances financial and valuation models; builds bid, margin, and cashflow/payback scenarios; applies data-confidence methodologies; and works with IT and data teams on infrastructure, data feeds, and automation. The specialist turns market and valuation analysis into recommendations, supports bid recommendations with cost, revenue, and margin analysis, tracks inventory-action outcomes against model predictions, and provides analytics support to product line teams. The role presents findings to leadership, collaborates with Finance and Asset Management stakeholders on consistent data and reporting standards, and maintains, tests, documents, and improves the team’s modeling tools and methodologies. Other duties may be assigned.

Requirements

  • Bachelor’s degree in finance, business analytics, economics, or a related field, or an additional two years of specific work experience in lieu of a degree.
  • Four years of relevant or technical work experience.
  • Strong proficiency in data modeling and analytics tools such as Excel, SQL, Power BI, or similar.
  • Ability to translate complex data into clear, actionable business recommendations.

Nice To Haves

  • Prior related internship experience.
  • Experience in asset management, inventory management, or a related investment function.
  • Familiarity with aviation, aerospace, or industrial parts markets.
  • Experience building or maintaining financial or valuation models.

Responsibilities

  • Monitor and track market factors, trends, and demand signals affecting company inventory value by product line.
  • Analyze historical and real-time value trends to identify emerging risks and opportunities.
  • Maintain data sources and benchmarks used to assess inventory value against market conditions.
  • Maintain and enhance financial and valuation models used to assess inventory investment performance.
  • Build bid and margin scenario models, including conservative, recommended, and aggressive pricing tiers, and cashflow/payback timelines.
  • Ensure modeling outputs are accurate, timely, and reflect current market conditions.
  • Apply data-confidence methodologies, such as weighting by repair-history depth and sales-history match quality, to strengthen model-output reliability.
  • Partner with IT and data teams as needed to support tool infrastructure, data feeds, and automation.
  • Translate market and valuation data into clear inventory-action recommendations for product line teams.
  • Support bid recommendations, such as asset packages and teardown lots, with cost, revenue, and margin analysis for leadership review.
  • Support decisions intended to maximize value capture in rising markets and minimize loss exposure in declining markets.
  • Track inventory-action outcomes against model predictions to improve forecasting accuracy.
  • Provide analytics support to product line teams on inventory valuation and market positioning.
  • Present findings, trends, and recommendations to leadership on a recurring basis.
  • Collaborate with Finance, Asset Management, and product line stakeholders to apply consistent data definitions and reporting standards.
  • Maintain, test, and enhance the team’s modeling tools.
  • Identify and recommend improvements to modeling methodology, data integrity, and tool usability.
  • Document modeling logic and assumptions for continuity and audit purposes.
  • Perform other duties as assigned.
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