Senior Business Intelligence Analyst

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. 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 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. 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 The base salary range for this role is $ 120,000-165,000 . In addition to base salary, this position is eligible for a performance-based bonus paid quarterly, with a target of $12,000-25,000. annually. This brings the total expected cash compensation range to $ 140,000 - $180,000 . Compensation 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 equity.

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      "text": "What You'll Do",
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      "text": "What We're Looking For",
      "content": "\n<li>&nbsp;5+ years of experience in a BI, analytics, or analytics engineering role, with a track record of owning an analytics function end-to-end</li>\n<li>&nbsp;Excellent SQL skills and deep experience with data warehouses (e.g., Snowflake, BigQuery, Redshift)</li>\n<li>&nbsp;Experience designing and maintaining dashboards in modern BI tools (e.g., Tableau, Looker, Metabase)</li>\n<li>&nbsp;Strong understanding of data pipeline tooling and ETL/ELT concepts</li>\n<li>&nbsp;Proven ability to translate ambiguous business problems into structured analytical frameworks and actionable recommendations</li>\n<li>&nbsp;Strong communication and presentation skills — comfortable engaging with executive leadership and enterprise customers alike</li>\n<li>&nbsp;A knack for documentation and knowledge sharing — you believe that data is only useful if people understand it</li>\n<li>&nbsp;Opinionated about data quality and governance, with a track record of raising the bar</li>\n<li>&nbsp;Experience working cross-functionally and influencing decisions without direct authority</li>\n<li>&nbsp;Self-directed and comfortable with ambiguity — you don't need someone to tell you what to analyze next</li>\n"
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