Lease Pricing Analyst

We are helping our client who is looking for a Lease Pricing Analyst to join our asset management organization in Memphis, Tennessee. In this role, you will develop pricing insights and financial models that support aircraft component lease decisions, working closely with commercial, finance, legal, technical, and risk partners. This position is well suited for an analytical, detail-oriented individual who can translate market data, asset valuations, and transaction assumptions into clear recommendations for leadership.

Responsibilities:

• Develop and update detailed financial models to evaluate lease scenarios, forecast cash flow performance, and measure expected returns.
• Assess component and asset values to help shape competitive pricing positions and support negotiations on lease opportunities.
• Examine market conditions, utilization patterns, and historical performance data to improve pricing approaches and strengthen decision-making.
• Partner with technical, legal, commercial, and risk stakeholders to ensure lease structures and return provisions align with asset strategy objectives.
• Create concise transaction analyses, pricing recommendations, and approval materials for management review.
• Support additional analytical projects and business initiatives as needed within the asset management function.
• Bachelor’s degree in Finance, Economics, Accounting, Data Analytics, or a related discipline.
• At least 5 years of experience in financial analysis, pricing, financial modeling, or commercial analytics.
• Strong capability in building advanced Excel models and working with reporting or visualization tools such as Power BI.
• Experience interpreting lease transactions, pricing frameworks, and financial outcomes in an asset-intensive environment.
• Solid analytical judgment with the ability to evaluate valuation data, trends, and performance metrics.
• Effective communication skills and the ability to present financial findings to cross-functional teams and senior leaders.
• Familiarity with SQL, data mining techniques, or similar analytical tools is advantageous.