Pricing Analyst, II

Overview

The Pricing Analyst serves as the analytical engine of Airspace’s pricing function, responsible for building, maintaining, and refining the financial models and data structures that drive margin predictability across all service lines and geographies. Reporting to the Global Head of Pricing, this role combines rigorous financial modeling with operational pricing support to ensure Airspace’s pricing decisions are grounded in accurate, well-structured cost and margin data.

This is a hands-on, analytically intensive role. The Pricing Analyst will spend the majority of their time in spreadsheets, data pipelines, and financial models—building the work product that the Global Head of Pricing and broader Yield Management organization rely on to make pricing decisions, review margin performance, and support cross-functional partners. The ideal candidate is someone who thrives in data, can independently own complex analyses end-to-end, and brings a structured approach to problem-solving in a fast-moving logistics environment.

Pricing in specialty logistics is among the most complex disciplines in the industry driven by on-demand service requirements, custom pricing solutions for each customer, and tariff-based structures rather than standardized SKUs. This complexity demands exposure to every aspect of the business — operations, finance, commercial, and vendor management — creating an exceptional foundation for long-term career growth.

 

Key Responsibilities

Pricing Model Ownership

• Build and maintain margin estimation models across service lines and geographies using Google Sheets, Excel, and Python.
• Develop and update model inputs including cost assumptions, rate structures, and volume/mix parameters as the business evolves.
• Run sensitivity and scenario analyses to stress-test pricing assumptions and quantify margin risk under different operating conditions.
• Document model logic, assumptions, and version history to ensure continuity and auditability.
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Cost Governance & Structured Cost Inputs

• Organize, maintain, and enhance structured cost data across driver, airline, and vendor cost categories as inputs for pricing models.
• Support cost governance processes by cataloging cost expectations by service line and geography with as much granularity as available.
• Perform cost benchmarking and trend analysis to identify areas of opportunity and flag cost movements that may impact margin.

Go/No-Go Recommendation Processes

• Build financial work-ups for new logo and expansion opportunities, modeling expected margin under proposed pricing structures.
• Flag margin risk and implementation feasibility concerns as inputs to the Go/No-Go recommendation process.
• Maintain and improve pricing work-up templates and tools used by the Commercial team Support annual rate increase (ARI) analysis and pricing improvement initiatives with financial modeling and impact sizing.

Reporting, Dashboard & Data Infrastructure

• Build and maintain margin reporting, billing accuracy KPIs, and exception reports that support the Global Head of Pricing and YM Rate Administration functions.
• Develop and improve data pipelines and automated reporting using Google Sheets, Google Colab/Python, and BI tools (e.g., Looker).
• Ensure data integrity and consistency across pricing-related systems, reconciling inputs across multiple sources as needed.
• Support market research and competitive benchmarking analyses for new service types, geographies, and strategic initiatives.

 

Qualifications

Experience Profile

• 2–5+ years of experience in Pricing, FP&A, Revenue Operations, Strategy Consulting, or a quantitative logistics role.
• Advanced proficiency in Google Sheets and/or Excel, including complex formulas, data modeling, and structured financial analysis.
• Working knowledge of Python (pandas, data manipulation) or demonstrated ability and willingness to learn quickly.
• Experience building financial models that drive business decisions—not just reporting, but models that predict and prescribe.
• Comfort working across multiple data sources and reconciling information to produce clean, trustworthy outputs.
• Strong attention to detail with an ability to self-check work and maintain high standards of data accuracy.
• Ability to work independently, manage competing priorities, and own analyses end-to-end without heavy oversight.
• Effective communicator who can translate complex analytical findings into clear, actionable insights for non-technical stakeholders.
• Experience in logistics, supply chain, or B2B services is strongly preferred.
• Familiarity with BI tools (Looker, Tableau, or similar) is a plus.
• Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.

 

Compensation & Benefits

• Salary range: $85K - $110K annual salary
• High-quality health, dental, and vision plan options
• Open PTO
• 401K with company match