Revenue Management Analyst
Hybrid · Mexico City, Mexico City, Mexico
Job Summary
Sr Revenue Management Analyst at Despegar focused on maximizing revenue through intelligent pricing and predictive analytics. Responsibilities include analyzing demand, sales, and pricing data; identifying optimization opportunities using quantitative models; executing and evaluating revenue management strategies; forecasting demand, price elasticity, and product performance; managing product/service inventory with demand forecasts; setting optimal prices across segments and routes; developing forecasting models with historical data, seasonality, and market trends; applying yield management techniques; building pricing elasticities; applying machine learning for dynamic pricing and consumer behavior insights; collaborating with operations, finance, marketing, and strategy; communicating revenue performance to leadership and aligning promotions with capacity and revenue goals; documenting inputs/assumptions for revenue plans and models; monitoring competitive pricing to protect margins. Requirements include finance/economics/engineering backgrounds, advanced Excel, BI tools (Power BI/Tableau/QlikSense), programming (Python/R/SQL), SQL databases, and a strong quantitative and analytical mindset with excellent communication and teamwork skills. Hybrid work model (2 days/week in office) and 90 days of work-from-anywhere availability offering; performance bonuses and comprehensive benefits.
Required Qualifications
- Egresado/a de Finanzas, EconomÃa, ActuarÃa, IngenierÃa Industrial o afines
- Experiencia en análisis de datos (travel, hospitality, e-commerce o airlines)
- Experiencia en revenue management, pricing analytics o roles similares (deseable)
- Excel avanzado (obligatorio)
- Herramienta de BI (Power BI, Tableau, QlikSense)
- Conocimiento de al menos un lenguaje de programación (Python, R, SQL)
- Bases de datos y extracción de datos (SQL)
- Conocimientos de machine learning aplicado a pricing y forecasting (deseable)
- Capacidad de análisis cuantitativo
- Interpretación de grandes volúmenes de datos
- Modelado predictivo y estadÃstica aplicada
- Conocimiento de técnicas de optimización y yield management
- Comprensión de economÃa básica: oferta, demanda y elasticidad de precios
- Pensamiento analÃtico
- Habilidad para generar insights accionables
- Buenas habilidades de comunicación y trabajo en equipo
- Capacidad para toma de decisiones basada en datos
- Mentalidad abierta y disposición para aprender
- Orientación a resultados
- Habilidades organizacionales
- Capacidad para trabajar en entornos dinámicos
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