Senior Business Intelligence Analyst

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Pay Details:

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 at TD. Our 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.

Job Description:

Department Overview

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.

Job Description:

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.

KEY ACCOUNTABILITIES

• 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

EDUCATION & EXPERIENCE

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

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our 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. Total Rewards at TD includes a 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. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):