Senior Data Analyst
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- Canada
- $126,000-133,000 per year
- Permanent
- Full-time
- Bridge Data & Business Needs - Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
- Own Data Initiatives End-to-End - Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
- Build Decision-Making Tools - Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
- Support Revenue Accounting - Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
- Ensure Compliance & Governance - Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
- Maintain Data Integrity - Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
- Drive Continuous Improvement - Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
- Leverage AI & Next-Generation Analytics - Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered-accelerating insights, scaling workflows, and shaping the future of financial analytics.
- Bachelor's degree in a related field
- 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
- Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
- Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
- Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
- Strong communication skills with the ability to engage effectively across technical and non-technical teams
- Public company experience with exposure to SOX compliance
- Background in high-growth technology environments
- Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
- Project management experience a plus
- Demonstrated ability to support Finance and Accounting teams with scalable data solutions
- Cloud cost management experience, ideally in an AWS environment
- Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)