Owns forecasting, optimization, and revenue management science activities, including model and system quality, parameter calibration, large-scale data analysis, market trend analysis, and innovation projects. The role develops insights and business decisions from data, tests new revenue optimization tools, monitors implemented actions, and collaborates with internal teams and external partners. Strong mathematical, statistical, programming, analytical, and communication skills are required.

Develop and maintain ETL/ELT data pipelines within a cloud-based data lakehouse architecture. Responsibilities include data transformation, software lifecycle participation, testing, documentation, third-level support, proof-of-concept development, operational reporting, and semantic-layer support. The role requires advanced SQL and Python/PySpark, experience with Spark, Delta Lake, Parquet, multiple databases, privacy-regulated data, and multi-cloud environments.

Oversee the accuracy, maintenance, integration, and optimization of hotel supplier data across product platforms. Serve as the senior subject-matter expert and final quality-control point, troubleshoot discrepancies, coordinate resolutions, validate content with suppliers, support testing of new products and integrations, and report on data quality and processing performance.