About Us
Canary Technologies is changing the game for hotels with modern software powered by Canarys hospitality-specific AI platform.
Canary is utilized by 20000 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 youll ensure that business and customer decisions are powered by reliable trusted data. Youll 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 Canarys Product organization and will report directly to the Product Strategy & Operations Lead. This NYCbased hybrid role is handson with SQL and BI tools and focuses on making our data consistently analysisready.
Responsibilities
- Model & structure: Design clean performant table structures and semantic layers in our warehouse (e.g. Snowflake) that enable consistent selfservice 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 multiproperty hotel groups.
- Crossfunctional 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 executiveready 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 selfserve with confidence.
- Launch enablement: Lead BI readiness for new products/featuresfrom data requirements and instrumentation guidance to launch reporting and training.
Qualifications
- Bachelors 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.
- Handson 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 fastmoving environment.
- Clear communicator who can present complex analyses to nontechnical audiences. High ownership and bias to action.
$80000 - $130000 a year
The base salary range for this role is $80000-$130000 annualized salary. This is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidates skill level experience and specific work location. This role may also include the opportunity to earn a discretionary bonus and/or equity.
We also work hard to ensure Canary is a fun and exciting place to work! Here are some of the additional benefits:
Canary Days: As a company we want to ensure that the team has time to recharge. 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 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.
Required Experience:
IC
About UsCanary Technologies is changing the game for hotels with modern software powered by Canarys hospitality-specific AI platform.Canary is utilized by 20000 hoteliers in 100 countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such a...
About Us
Canary Technologies is changing the game for hotels with modern software powered by Canarys hospitality-specific AI platform.
Canary is utilized by 20000 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 youll ensure that business and customer decisions are powered by reliable trusted data. Youll 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 Canarys Product organization and will report directly to the Product Strategy & Operations Lead. This NYCbased hybrid role is handson with SQL and BI tools and focuses on making our data consistently analysisready.
Responsibilities
- Model & structure: Design clean performant table structures and semantic layers in our warehouse (e.g. Snowflake) that enable consistent selfservice 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 multiproperty hotel groups.
- Crossfunctional 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 executiveready 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 selfserve with confidence.
- Launch enablement: Lead BI readiness for new products/featuresfrom data requirements and instrumentation guidance to launch reporting and training.
Qualifications
- Bachelors 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.
- Handson 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 fastmoving environment.
- Clear communicator who can present complex analyses to nontechnical audiences. High ownership and bias to action.
$80000 - $130000 a year
The base salary range for this role is $80000-$130000 annualized salary. This is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidates skill level experience and specific work location. This role may also include the opportunity to earn a discretionary bonus and/or equity.
We also work hard to ensure Canary is a fun and exciting place to work! Here are some of the additional benefits:
Canary Days: As a company we want to ensure that the team has time to recharge. 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 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.
Required Experience:
IC
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