# Senior Business Intelligence Analyst

**Company:** [Canary Technologies](https://hotfix.jobs/companies/canary-technologies)
**Location:** New York, NY
**Role:** Data Analytics
**Salary:** $80k – $130k/yr
**Experience:** 5+ years
**Skills:** SQL, Snowflake, BigQuery, Redshift, Tableau, Looker, Metabase, ETL, ELT, Data Pipelines
**Posted:** 2026-03-11

> Leads analytics strategy, builds data pipelines and dashboards, owns metrics and data quality for business decisions. Requires 5+ years BI experience, expert SQL, data warehouse and BI tool proficiency.

## Job Description

## 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

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