Senior Business Intelligence Analyst

Canary Technologies · New York, NY · 3 days ago

HybridAnalyst$140k–$180k/yrFull-time

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.

Responsibilities

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

Requirements

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

Qualifications

Master's degree in Computer Science, Statistics, Data Science, or related field
Experience with data visualization tools (e.g., Tableau, PowerBI)
Experience with cloud-based data platforms (e.g., AWS, Azure)
Experience with data warehousing technologies (e.g., Snowflake, Redshift)
Experience with data modeling and database design
Experience with data integration and ETL processes
Experience with data storytelling and business intelligence

Skills

Data analysis and interpretation
Data modeling and database design
Data visualization and reporting
Data integration and ETL processes
Data storytelling and business intelligence
Communication and presentation skills
Data quality and governance

Benefits

Compensation Target: $140,000–$180,000, including a fixed annual salary and a performance-based bonus paid quarterly
Stock option grant, subject to board approval
Canary Days: Each month, company-wide days off to ensure there is at least one extended weekend or day off
Self Improvement Club: Monthly meetings to share personal goals and provide a budget for purchases that help achieve these goals
Professional Development Chats: Budget to drive cross-functional professional development conversations across the organization
Travel Reimbursement: Stipend for visiting Canary offices in New York, San Francisco, or Dallas
Personal Travel Reimbursement: Credit for staying at hotels Canary works with

Pay

Target cash compensation ranges from $140,000–$180,000, including a fixed annual salary and a performance-based bonus paid quarterly. This role also includes a stock option grant, subject to board approval. Actual compensation will be commensurate with the candidate's skill level, experience, and specific work location.

Schedule

Full-time position

Equal Opportunity Employer

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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.