Senior Business Intelligence Analyst

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