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The Analyst, Commercial Services Analytics is responsible for developing, maintaining, and enhancing analytical reports, dashboards, business application, and data assets that support commercial performance management and decision‑making. The role partners with commercial stakeholders to understand business requirements, to contribute to data pipeline and reporting development, to ensure the accuracy, consistency, and usability of analytical outputs. The analyst plays a key role in enabling scalable, data‑driven decisions and insights across revenue strategy, sales, and related functions.
Job Responsibility:
Develop analytical approaches to support all key business processes throughout the year
Provide support and develop/maintain/update Continent tools and develop analysis to identify Commercial opportunities
Develop measurement techniques to evaluate the effectiveness of multiple initiatives
Work closely with operations research and systems personnel in creating and developing decision support systems that will lead to enhanced commercial metrics
Respond to requests from stakeholders for data and analysis
Special projects, including ad hoc requests for information, analysis and recommendations relative to Commercial initiatives
Requirements:
Bachelor’s degree in Quantitative discipline (Data Analytics, Computer Science, Information Systems, Economics, Statistics or relevant field)
Experience in hospitality analytics topics, especially in loyalty and guest analytics (1+ years)
Hands on experience developing business applications (3 years or more)
Hands on experience developing corporate reports, dashboards and reporting visualizations (3 years or more)
Experience in working with, developing, and maintaining data pipelines/databases (3 years or more)
Expertise in business application development using Power Apps
Expertise in data visualization and dashboard creation to support downstream business analysis in Microsoft Power BI
Expertise in database query languages (i.e. SQL) and cloud/on-premise database management, ability to manage mid to large-sized corporate databases
Fluent in written and oral communication in English
Nice to have:
Experience in consolidating and processing complex data sets (ETL/ELT, data validation techniques)
Experience in statistical modeling and machine learning in Python or related programming languages
Experience working with cloud services/platforms and APIs
HTML & Javascript a plus
Experience in cloud computing platforms/services (i.e. Google Cloud, Microsoft Azure, etc.) preferred
Experience working independently or as part of a team in Regional/Global projects
Working knowledge/experience in Revenue Management/Sales/Marketing/Loyalty Programming domains or Travel & Hospitality industry
Experience in working with cloud services/platforms and APIs