Senior Business Intelligence Analyst

Line Of Business: Analytics, Insights, & Artificial Intelligence

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Line Of Business: Analytics, Insights, & Artificial Intelligence

Pay Details: $81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

The Senior Business Intelligence Analyst will be a key member of the Chief Operation Office supporting Enterprise Protect Risk Factory, accountable for partnering with business stakeholders to deliver timely, meaningful, and compliant business intelligence solutions. This role supports enterprise‑wide risk management and enables informed decision‑making while ensuring adherence to regulatory requirements and internal policies.

We are seeking a self‑motivated, innovative BI professional who thrives in a fast‑paced, high‑impact environment and brings an agile mindset, strong data storytelling capabilities, and deep technical expertise to translate data into actionable business intelligence.

• Partner closely with stakeholders across the Enterprise Protect Risk Factory to understand business objectives, define BI requirements, and translate complex risk and control needs into scalable business intelligence solutions.
• Design, develop, and deliver accurate and timely BI products aligned to enterprise risk priorities, regulatory obligations, and internal policy requirements.
• Act as a trusted BI advisor and subject matter expert, providing thought leadership and enabling data‑driven, risk‑informed decisions.

• Work with diverse and complex data sources using Python, PySpark, SQL Server, and cloud‑based platforms (e.g., Databricks, Azure) to support data extraction, transformation, and preparation for BI consumption.
• Build and maintain reliable data pipelines, curated datasets, and semantic layers that support reporting, dashboards, and self‑service business intelligence.
• Proactively surface insights, trends, and risk indicators, delivering value‑added intelligence through clear interpretation and actionable recommendations.

• Design and deliver insightful, functional, and visually compelling dashboards and reports using Power BI and/or Tableau, enabling self‑serve BI and informed action.
• Apply strong data storytelling principles to communicate quantitative and qualitative insights clearly and compellingly to both technical and non‑technical audiences.
• Present BI findings and recommendations through written deliverables, executive‑ready presentations, and stakeholder forums.

• Operate effectively within an agile delivery model, managing backlogs, priorities, milestones, timelines, and service‑level commitments.
• Lead BI project coordination and stakeholder communication, ensuring transparency, alignment, and predictable delivery.
• Manage partner inquiries and issue resolution related to BI products, providing clear updates, presentations, and training as required.

• Contribute to the continuous improvement of Enterprise Protect Risk Factory BI standards, processes, and best practices for data sourcing, transformation, reporting, and visualization.
• Support scalable and sustainable BI solutions that reduce operational risk and strengthen enterprise reporting resilience.
• Work independently or collaboratively, leveraging team expertise and fostering a positive, inclusive, and high‑performing team culture.