Canary Technologies Corp
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 As a Business Intelligence Manager at Canary Technologies, you’ll ensure that business and customer decisions are powered by reliable, trusted data. You’ll build the data models, pipelines, and dashboards that turn complex hospitality data into clear insights, enabling teams across Product, Customer Success, and GTM to move faster and smarter. This role is part of Canary’s Product organization and will report directly to the Product Strategy & Operations Lead. This NYC‑based, hybrid role is hands‑on with SQL and BI tools and focuses on making our data consistently analysis‑ready.
Responsibilities
Model & structure:
Design clean, performant table structures and semantic layers in our warehouse (e.g.,
Snowflake ) that enable consistent, self‑service analysis.
Data accuracy & trust:
Establish data quality checks (e.g., dbt tests/observability), reconcile sources, and monitor KPIs that signal freshness, completeness, and accuracy across dashboards.
Customer data feeds:
Own automated data feeds (API/SFTP) and scheduled enterprise reports; maintain reliability and documentation for multi‑property hotel groups.
Cross‑functional partnership:
Work closely with
Data Engineering
to land reliable sources and with
Product/CS/GTM
to translate requirements into BI solutions that drive decisions.
Dashboards & portfolio analytics:
Build and maintain executive‑ready dashboards and Portfolio Analytics for hospitality customers, aligned to field metrics used by hotel teams.
Governance & documentation:
Define naming conventions, metric definitions, and documentation so teams can self‑serve with confidence.
Launch enablement:
Lead BI readiness for
new products/features —from data requirements and instrumentation guidance to launch reporting and training.
Qualifications
Bachelor’s degree in
Statistics, Data Science , Engineering or related field (or equivalent experience).
Advanced SQL skills
and strong experience building/operating transformations and pipelines in production.
Hands‑on with the
modern data stack :
dbt ,
Airflow/Prefect , and cloud data warehouses ( Snowflake/BigQuery/Redshift ).
Proficiency with BI tools ( Looker/Tableau/Omni ) including dashboard development and semantic/data modeling.
Familiarity with
Git
and collaborative development workflows (branching, PRs, code review).
Demonstrated ability to
ensure data accuracy and accessibility
and to partner with engineering on data design and contracts.
Strong stakeholder and project management skills. Comfortable prioritizing competing requests and meeting deadlines in a fast‑moving environment.
Clear communicator who can present complex analyses to non‑technical audiences. High ownership and bias to action.
Compensation Salary: $80,000 - $130,000 a year.
The base salary range for this role is $80,000-$130,000 annualized salary. This is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidate’s skill level, experience, and specific work location. This role may also include the opportunity to earn a discretionary bonus and/or equity.
Benefits
Canary Days:
Each month we provide company wide days off to ensure there is at least one extended weekend or day off.
Self Improvement Club:
We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals.
Professional Development Chats:
We provide budget to help drive cross functional professional development conversations across the organization.
Travel Reimbursement:
Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so. Spend time working with the team in their office, and use the rest of your time exploring a new city!
Personal Travel Reimbursement:
If you stay at a hotel that Canary works with, we provide a credit towards your stay.
Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.
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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 As a Business Intelligence Manager at Canary Technologies, you’ll ensure that business and customer decisions are powered by reliable, trusted data. You’ll build the data models, pipelines, and dashboards that turn complex hospitality data into clear insights, enabling teams across Product, Customer Success, and GTM to move faster and smarter. This role is part of Canary’s Product organization and will report directly to the Product Strategy & Operations Lead. This NYC‑based, hybrid role is hands‑on with SQL and BI tools and focuses on making our data consistently analysis‑ready.
Responsibilities
Model & structure:
Design clean, performant table structures and semantic layers in our warehouse (e.g.,
Snowflake ) that enable consistent, self‑service analysis.
Data accuracy & trust:
Establish data quality checks (e.g., dbt tests/observability), reconcile sources, and monitor KPIs that signal freshness, completeness, and accuracy across dashboards.
Customer data feeds:
Own automated data feeds (API/SFTP) and scheduled enterprise reports; maintain reliability and documentation for multi‑property hotel groups.
Cross‑functional partnership:
Work closely with
Data Engineering
to land reliable sources and with
Product/CS/GTM
to translate requirements into BI solutions that drive decisions.
Dashboards & portfolio analytics:
Build and maintain executive‑ready dashboards and Portfolio Analytics for hospitality customers, aligned to field metrics used by hotel teams.
Governance & documentation:
Define naming conventions, metric definitions, and documentation so teams can self‑serve with confidence.
Launch enablement:
Lead BI readiness for
new products/features —from data requirements and instrumentation guidance to launch reporting and training.
Qualifications
Bachelor’s degree in
Statistics, Data Science , Engineering or related field (or equivalent experience).
Advanced SQL skills
and strong experience building/operating transformations and pipelines in production.
Hands‑on with the
modern data stack :
dbt ,
Airflow/Prefect , and cloud data warehouses ( Snowflake/BigQuery/Redshift ).
Proficiency with BI tools ( Looker/Tableau/Omni ) including dashboard development and semantic/data modeling.
Familiarity with
Git
and collaborative development workflows (branching, PRs, code review).
Demonstrated ability to
ensure data accuracy and accessibility
and to partner with engineering on data design and contracts.
Strong stakeholder and project management skills. Comfortable prioritizing competing requests and meeting deadlines in a fast‑moving environment.
Clear communicator who can present complex analyses to non‑technical audiences. High ownership and bias to action.
Compensation Salary: $80,000 - $130,000 a year.
The base salary range for this role is $80,000-$130,000 annualized salary. This is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidate’s skill level, experience, and specific work location. This role may also include the opportunity to earn a discretionary bonus and/or equity.
Benefits
Canary Days:
Each month we provide company wide days off to ensure there is at least one extended weekend or day off.
Self Improvement Club:
We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals.
Professional Development Chats:
We provide budget to help drive cross functional professional development conversations across the organization.
Travel Reimbursement:
Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so. Spend time working with the team in their office, and use the rest of your time exploring a new city!
Personal Travel Reimbursement:
If you stay at a hotel that Canary works with, we provide a credit towards your stay.
Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.
#J-18808-Ljbffr