Senior Business Intelligence Analyst
Yesterday• Toronto, Canada
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 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:
Our team is part of TD's Analytics, Insights and Artificial Intelligence (AI2) supporting Canadian Personal Banking's Operations group as the central hub for agentic AI, internal digital insights, and data analytics that power business-unit strategies and support our customer facing colleagues.
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Our mission is to deliver and modernize data driven coaching, processes, and analytics used by the Operations group in support of colleagues working directly with TD's customers.
We are a team of high-performing subject matter experts spanning agentic AI solutions, digital analytics, big data, cloud infrastructure, end-to-end measurement, business analytics, data science and modeling, business intelligence, data strategy and governance, and advanced visualization. Together, we enable TD to make smarter, faster, and more customer-centric decisions.
Key Accountabilities:
- Own projects end-to-end (E2E) from scoping and requirements gathering to data engineering, modeling, insights, and visualization.
- Act as a strategic consultant, delivering value-added insights, storytelling, and actionable recommendations for website personalization and campaign optimization.
- Apply a data science mindset, grounded in causal impact, experimentation, and hypothesis-driven problem solving to drive marketing innovation and accountability.
- Work with large-scale datasets across various stages of the customer journey and leverage advanced analytics tools such as Python, PySpark, Databricks, Power BI, and SQL to deliver best-in-class solutions.
- Develop a deep understanding of business objectives and data ecosystems, translating complex business problems into clear, data-driven solutions.
- Exhibit exceptional storytelling - translating analytical findings into compelling narratives that influence senior stakeholders.
- Use your abilities to collaborate across teams, communicate with clarity, demonstrate intellectual curiosity, and consistently deliver measurable results.
Core Skill Sets:
- Resilient and persistent - able to overcome analytical and organizational challenges with creativity and rigor.
- Deep intellectual curiosity and continuous learning mindset.
- Innovative and creative approach to problem-solving.
- Expertise in customer data integration using PySpark, Python, Power BI, SQL Server, Azure Cloud.
- Strong understanding of data structures, data models, and relational databases.
- Write efficient, optimized code for processing large datasets in PySpark and SQL.
- Strong project management discipline, ensuring deliverables are on time, accurate, and impactful.
- Collaborative team player with the independence and accountability to execute autonomously.
- Pragmatic decision-maker, blending analytical rigor with real-world business judgment.
- Customer-first thinker, always viewing insights and recommendations through the lens of customer value.
Job Requirements:
- 5+ years of experience in an analytics role, including A/B testing, website analytics, attribution modeling, regression analysis, and/or machine learning - ideally in financial services, telecom, or other high-volume direct marketing industries
- Bachelor's or Master's in Business, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field.
- Proven track record of execution, problem-solving, and measurable business impact.
- Demonstrated proficiency in large-scale data processing and advanced programming with PySpark, SQL, and Databricks.
- Experience with Power BI or Tableau preferred.
- Strong technical foundation and ability to scale analytical solutions
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):
Sans Objet
Client-provided location(s): Toronto, Canada
Job ID: TD_bank-R_1460245
Employment Type: FULL_TIME
Posted: 2026-02-06T23:39:40
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion