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Revenue Management Systems Analyst

Trabajo disponible en: 08840, Viladecans, Cataluna, España
Empresa: Fly LEVEL SL
Tiempo completo puesto
Publicado en 2026-09-23
Especializaciones laborales:
  • TI/Tecnología
    Analista de datos, Tecnologia de Negocios, Analista de negocios de TI
Rango Salarial o Referencia de la Industria: 45000 - 65000 EUR Anual EUR 45000.00 65000.00 YEAR
Descripción del trabajo
Puesto: REVENUE MANAGEMENT SYSTEMS ANALYST

LEVEL is a long-haul airline based in Barcelona and part of the IAG group. The company is customer-centric and places a strong emphasis on values such as commitment, an open attitude, a constant drive for improvement, and making travel easy for their customers. With a focus on providing an exceptional customer experience, LEVEL is committed to delivering top-notch service and exceeding the expectations of their passengers

Job Purpose

The RM Systems Specialist supports the Revenue Management team in the day-to-day calibration of the Revenue Management System (RMS), the automation of manual processes, and the development of the KPI framework. This role blends strong data analytics skills with growing expertise in RM systems, enabling the Pricing and Inventory teams to work faster, smarter, and with better data.

The RM Systems Specialist reports to the RM Systems, Processes & KPIs Manager

Main Responsibilities - Tasks 1. RMS Ownership & Technical Strategy
  • System Configuration & Calibration: Support the administration and fine-tuning of the Revenue Management Systems (AirRM & PROS), assisting with demand forecasting models, influence factors, and optimizer settings.

  • Business Rule Management: Support the implementation and validation of RM business rules, ensuring system configurations align with commercial and operational objectives.

  • Data Integration & Quality Assurance: Validate data flows between the PSS, RMS, and external data sources (e.g., Infare), ensuring data accuracy, integrity, and timely availability for Revenue Management processes.

2. Process Excellence & Business Automation
  • Automation Projects: Design and build automation scripts and tools (SQL, Python, RPA) to eliminate manual, repetitive tasks and free up analyst time for higher-value work.

  • System Enhancements & Testing: Coordinate and execute functional testing for RM system enhancements, configuration changes, and new releases, ensuring solutions meet business requirements before deployment.

  • Knowledge Management & Best Practices: Develop and maintain the RM knowledge base, documenting system processes and best practices to ensure consistency and facilitate knowledge sharing across the team.

3. KPI Framework & Performance Auditing
  • Dashboard Development: Build and maintain the RM “Health Check” dashboard in Power BI, tracking metrics such as Forecast Accuracy (MAPE), Yield Opportunity Loss, and Spill/Spoilage.

  • Override Analysis: Support “Post-Mortem” audits on analyst overrides to help measure their value-add versus the system’s baseline.

  • Data Deep-Dives: Analyze no-show trends, cancellation patterns, and denied boarding data to identify revenue opportunities/leakage points.

Education

Bachelor’s or Master’s degree in a highly quantitative field (Engineering, Data Science, Statistics, Mathematics, or similar).

Experience

Prior experience as a Data Analyst, BI Analyst, or in a similar quantitative role is required; prior experience in Revenue Management, Pricing, or the airline/travel industry is a plus, but not a must

Competencies
  • System Exposure: Familiarity with RM systems (AirRM, PROS, or similar) and core RM concepts (e.g., EMSRb, Dynamic Pricing) is a plus.

Technical Stack
  • SQL: Solid working knowledge (Big Query, Snowflake, or SQL Server) for data extraction and analysis.

  • Data Viz: Experience with Power BI or Tableau to build dashboards and automated reports.

  • Coding: Proficiency in Python or R for automation and predictive modeling is highly valued.

  • Analytical Mindset: Comfortable investigating why numbers move and translating findings into clear, actionable recommendations.

  • Communication: Able to work closely with both technical teams and commercial stakeholders

  • Mindset: Analytical, curious, and driven to continuously learn, with a strong…

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