Business Intelligence Analyst Job at Canary Technologies (New York)

Job Description

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.

Job Responsibility

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

What we offer

Canary Days: company wide days off each month
Self Improvement Club: monthly meetings and budget for personal goals
Professional Development Chats: budget for cross functional professional development
Travel Reimbursement: stipend for visiting offices in New York, San Francisco or Dallas
Personal Travel Reimbursement: credit for stays at hotels that Canary works with

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Business Intelligence Analyst

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