Senior Analyst, Revenue Management (Hybrid-AZ)

Best Western International • Phoenix, AZ

5d • Hybrid

About The Position

The Senior Analyst, Revenue Management is responsible for designing, building, and maintaining scalable reporting and data solutions. This role leverages automation and AI-Enabled tools to reduce manual effort, accelerate insights, and enable data-driven revenue decisions across the organization.

Requirements

• 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

• 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.

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 ETL pipelines using AWS glue 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