Revenue Management Analyst

Metropolis Metropolis · Vertical AI · New York, NY +1 · Market Operations

This role focuses on maximizing revenues for technology-enabled commercial assets by developing and implementing strategies through quantitative analysis of historical data, competitive environments, and consumer behavior. The analyst will design and deliver client presentations, determine optimal pricing, and create data-driven revenue opportunities through advanced analytics, with an interest in optimization problem-solving and economic game theory. Experience leveraging AI tools is mentioned as a plus.

What you'd actually do

  1. Maximize revenues by developing and implementing strategies through quantitative analysis of historical parking demand, competitive environment, and consumer buying behavior
  2. Design and deliver high-impact client presentations that translate complex data sets into actionable insights and clear strategic narratives for external partners
  3. Determine optimal pricing and create new pricing products to capitalize on changes in consumer buying habits
  4. Create and capture data-driven revenue opportunities through advanced analytics
  5. Proactively evaluate the effectiveness of the implemented strategies and regularly report performance trends to clients and internal leadership

Skills

Required

  • BS/BA or advanced degree with experience in a quantitative discipline (economics, finance, accounting, statistics, data science, etc.)
  • 2+ years of related experience at an airline, hotel, rail, shipping, cruise, or rental car company
  • Intermediate to Advanced proficiency in Google Sheets and/or Microsoft Excel
  • Ability to query data (i.e. SQL) and deliver strong business insights
  • Demonstrated analytical skills, including the ability to assemble information, extract pertinent facts, draw logical conclusions, and present recommendations
  • Exceptional communication skills, with a proven ability to synthesize technical findings into compelling presentations for non-technical audiences
  • Leverage understanding of business processes to identify and implement solutions that will result in significant bottom-line contributions
  • Interest in optimization problem-solving, economic game theory, and consumer buying behavior
  • Good interpersonal skills and ability to interact with the working team and external stakeholders

Nice to have

  • Experience leveraging AI tools to transform static workflows into responsive, high-output processes

What the JD emphasized

  • quantitative discipline
  • related experience at an airline, hotel, rail, shipping, cruise, or rental car company
  • query data (i.e. SQL)
  • demonstrated analytical skills
  • leverage understanding of business processes
  • optimization problem-solving, economic game theory, and consumer buying behavior