Business Intelligence Analyst

Canary Technologies Corp•New York, NY

14d•$80,000 - $130,000

About The Position

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: 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.

Requirements

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.

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.

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 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.

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