Senior Business Intelligence Analyst

The Resume Database; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm in New York is seeking a Senior Business Intelligence Analyst to lead the analytics function. You will be responsible for developing data strategies that support business decisions while collaborating with multiple functions and enterprise customers. The ideal candidate has proven experience in data analytics and a strong understanding of data infrastructure. Join us in shaping the future of hospitality by leveraging your expertise in data analytics.

Qualifications

• Proven experience in data analytics and business intelligence.
• Strong understanding of data strategy and infrastructure.
• Ability to collaborate across multiple functions.

Responsibilities

• Lead and define the analytics function at the company.
• Develop data strategies that aid business decisions.
• Collaborate with enterprise customers on analytics.

Job description

Canary Technologies is changing the game for hotels with modern software powered by Canary’s hospitality-specific AI platform.

Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results.

Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners.

Join us in shaping the future of hospitality!

About the Role

We’re looking for a Senior Business Intelligence Analyst to lead and define the analytics function at Canary. You’ll be the go-to expert on all things data and analytics — owning the strategy, infrastructure, and outputs that the business relies on to make decisions. You’ll work across every function and directly with enterprise customers, shaping not just what we measure but how we think about data as a company.