Senior Business Intelligence Analyst

TD • Toronto, ON

19h • CA$81,600 - CA$115,200 • Onsite

About The Position

The Real Estate Secured Lending (RESL) Business Intelligence team within Risk (CLA&BI – Credit Loss Allowance & Business Intelligence) is responsible for delivering data, analytics, and insights that support the modernization, monitoring, and optimization of RESL risk reporting. The team partners closely with RESL 2A, Policy, and Technology teams to enable end-to-end visibility into risk performance metrics, strengthen governance, and drive data-informed decision-making. This is achieved through the development of scalable data pipelines, enterprise dashboards, and advanced analytics that support both internal management reporting and external regulatory requirements. We are seeking a Senior Business Intelligence Analyst to design, build, and deploy analytics solutions across modern, cloud-based platforms. This role will focus on translating complex and often ambiguous business problems into production-ready data assets, actionable insights, and automated analytics solutions. The ideal candidate combines strong technical expertise, analytical thinking, and business partnership skills to deliver measurable outcomes across regulatory reporting and internal risk management functions.

Requirements

• Undergraduate degree in quantitative or technical discipline such as Mathematics, Statistics, Computer Science, Engineering, or Finance, graduate degree will be considered an asset.
• 3+ years of hands-on experience in Data Science, Data Analytics or Data Engineering roles, delivering scalable analytics solutions in complex environments
• Strong programming skills in Python and SQL, with proven experience working with large and complex datasets
• Experience with enterprise-scale cloud data platforms and understanding of associated tools, data structures, controls, and constraints (Azure Databricks is preferred)
• Proven ability to apply statistical methods, machine learning techniques, and data wrangling to solve business problems and generate actionable insights
• Experience designing and delivering data visualizations and dashboards (e.g., Power BI, Tableau) to communicate insights to both technical and non-technical stakeholders
• Strong business acumen with the ability to translate ambiguous requirements into structured analytical solutions
• Demonstrated experience working in cross-functional teams, including collaboration with business stakeholders, data engineers, and technology partners
• Excellent communication and storytelling skills, with the ability to influence decision-making through data

Nice To Haves

• RESL Business Knowledge will be considered an asset
• Existing experience with RESL data architecture will be considered an asset

Responsibilities

• Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI within cloud environments (Azure Databricks and enterprise data platforms)
• Build curated datasets, automated pipelines, and analytics layers that support operational monitoring, performance insights, and regulatory controls
• Analyze large, complex datasets to identify trends, risks, gaps, and optimization opportunities
• Translate ambiguous business questions into structured analytical frameworks and actionable deliverables
• Embed data quality checks, validation, and automation into all analytics products
• Partner cross-functionally with RESL 2A / Policy business stakeholders, data engineering teams, and enterprise analytics groups
• Communicate insights through dashboards, presentations, and executive-ready storytelling
• Continuously improve analytics processes, standards, and reusable data assets
• Support a strong risk and control culture through robust analytical monitoring and governance

Benefits

• Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals.
• Base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.
• Regular development conversations, training programs, and a competitive benefits plan.
• Access to an online learning platform and a variety of mentoring programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior