About Us
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.
What You'll Do
Own the analytics strategy and roadmap — define the vision for how Canary uses data, what we measure, and where we invest in analytics capabilities
Be the company's analytics expert — serve as the authority on our data, metrics, and analytical best practices across all teams
Lead the architecture of our analytics platform in partnership with data engineering, including tooling, data modeling, and warehouse design decisions
Build and own the data pipelines and business analytics that power reporting and decision-making across the organization
Design and maintain dashboards and analyses that give leadership and cross-functional teams clear visibility into business performance
Drive strategic conversations with product, sales, go-to-market teams, and leadership — proactively identifying opportunities and risks in the data, not waiting to be asked
Work directly with enterprise customers on data feeds, custom reporting, and analytics integrations
Own and evolve our KPIs and metrics frameworks — ensure the company has a consistent, well-understood set of metrics and that teams are aligned on definitions and methodology
Establish and maintain comprehensive data documentation and a metrics source of truth — build the processes and culture that make data accessible and understandable to everyone at Canary
Set and enforce data quality standards through governance practices, validation, and cross-team accountability
Enable self-serve analytics across the organization by building intuitive data models, tooling, and documentation that reduce dependency on ad-hoc requests
What We're Looking For
5+ years of experience in a BI, analytics, or analytics engineering role, with a track record of owning an analytics function end-to-end
Excellent SQL skills and deep experience with data warehouses (e.g., Snowflake, BigQuery, Redshift)
Experience designing and maintaining dashboards in modern BI tools (e.g., Tableau, Looker, Metabase)
Strong understanding of data pipeline tooling and ETL/ELT concepts
Proven ability to translate ambiguous business problems into structured analytical frameworks and actionable recommendations
Strong communication and presentation skills — comfortable engaging with executive leadership and enterprise customers alike
A knack for documentation and knowledge sharing — you believe that data is only useful if people understand it
Opinionated about data quality and governance, with a track record of raising the bar
Experience working cross-functionally and influencing decisions without direct authority
Self-directed and comfortable with ambiguity — you don't need someone to tell you what to analyze next
Compensation
Target cash compensation ranges from $140,000–$180,000, including a fixed annual salary and a performance-based bonus paid quarterly.
This role also includes a stock option grant, subject to board approval.
Actual compensation will be commensurate with the candidate's skill level, experience, and specific work location.
