Senior Analyst, Revenue Management -Hybrid AZ

Best Western Hotels & Resorts • Phoenix, AZ

1d • Hybrid

About The Position

Join BWH Hotels – Where Passion Meets Purpose At BWH® Hotels, we don't just offer employment opportunities, we create opportunities to be part of something extraordinary. As a global leader in hospitality for nearly 80 years, our vision is to inspire travel through unique experiences. Joining our corporate team means becoming part of a dynamic and inclusive community that values innovation, collaboration, and making a meaningful impact in the travel industry. Headquartered in Phoenix, Arizona, BWH Hotels boasts a powerful portfolio of 18 brands, including WorldHotels™, Best Western® Hotels & Resorts, and SureStay Hotels®, with approximately 4,300 hotels in over 100 countries. We take pride in our top-ranking employee engagement scores and foster a workplace culture where your contributions truly matter. Join us and be part of a team that's shaping the future of hospitality! Job Purpose The Senior Analyst, Revenue Management is responsible for designing, building, and maintaining scalable reporting and data solutions that support revenue optimization. This role is expected to proactively establish, leverage, and continuously expand the use of AI and automation capabilities to reduce manual effort, enhance speed and accuracy of insights, and drive measurable operational efficiencies.

Requirements

• Bachelor’s degree in business administration, information systems, or related field.
• Minimum 5 years of experience in reporting and data analysis roles.
• Strong proficiency with SQL and relational data models; experience querying cloud data warehouses such as Amazon Redshift preferred.
• Experience developing and maintaining data pipelines and ETL processes within AWS environments.
• Working knowledge of Python for data analysis, automation, or pipeline development
• Experience working with APIs to extract, integrate, or validate data from internal or external systems
• Experience designing, building, and maintaining dashboards and self-service analytics using BI tools, with Amazon QuickSight preferred.
• Strong analytical and problem-solving skills with the ability to interpret complex data and translate findings into actionable business insights.
• Advanced knowledge of SQL and relational data concepts, including joins, aggregations, and performance considerations.
• Solid understanding of data warehousing, ETL concepts, and analytics-ready data modeling best practices.
• Working knowledge of AWS data services, including data ingesting, transformation processes.
• Proficiency in Python data language for data analysis, automation, and process improvements.
• Experience working with APIs, including data extraction, validation, and integration workflows.
• Strong familiarity with BI and data visualization best practices, including dashboard design, usability, and performance optimization.
• Demonstrated ability to ensure data accuracy through validation, monitoring, and governance controls.
• Strong communication skills, with the ability to clearly explain analytical results and technical concepts to both technical and non-technical stakeholders.
• Proven ability to manage multiple priorities independently and deliver high-quality work in a fast-paced environment.

Nice To Haves

• experience querying cloud data warehouses such as Amazon Redshift preferred
• Experience designing, building, and maintaining dashboards and self-service analytics using BI tools, with Amazon QuickSight preferred.

Responsibilities

• Design, develop, and maintain advanced reporting and datasets leveraging AI tools to accelerate data analysis, insight generation and reporting efficiency
• Design, develop, and maintain scalable Extract/Transform/Load (“ETL”) pipelines using AWS data integration tools to ingest, transform, and curate data from multiple source systems into analytics-ready datasets.
• Partner with business stakeholders to translate key information needs into scalable analytics solutions and data products.
• Own data quality by implementing validation, monitoring, and governance processes to ensure accuracy and consistency.
• Enable self-service analytics by designing intuitive dashboards, datasets, and documentation that empower business users to explore data independently.
• Continuously improve existing reporting by reducing redundancy and manual effort.
• Partner with data services and enterprise analytics teams to ensure data pipelines meet analytical and business requirements.
• Document data sources, transformations, and business logic to support transparency and scalability
• Communicate insights clearly to both technical and non-technical audiences through presentations and written narratives

Benefits

• Medical/Dental/Vision available day one
• Vacation/Sick- accruals start day one
• Paid company holidays and personal holidays to celebrate what’s important to you
• 401K - company contribution and match (U.S.)
• Registered Retirement Savings Plan (RRSP) – company contribution and match (Canada)
• Employee discounts/hotel discounts
• Free financial and health wellness programs
• Tuition Reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior