Senior Financial Data Analyst - FinOps

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

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:

The Financial Data Analyst – FinOps is responsible for delivering high‑quality financial and cost analytics across FinOps, with a focus on consolidating data from multiple financial and technology sources into consistent, trusted views.

The role owns defined analytical domains, develops and maintains financial and unit cost models, and partners with Finance, Technology, and Business teams to deliver clear, decision‑ready insights.

KEY RESPONSIBILITIES:

Own end‑to‑end analytical domains across FinOps, including data sourcing, modeling, and outputs
Consolidate multiple financial and technology data sources into single, consistent analytical views
Develop, maintain, and enhance financial, cost, and unit‑economics models
Deliver executive‑ready analytics and insights to support decision‑making
Define and maintain data quality, validation, and analytical standards
Partner with Finance, Technology, and Business stakeholders to align metrics, assumptions, and definitions
Support continuous improvement of FinOps analytical capabilities and tooling
 

EXPERIENCE AND / OR EDUCATION

Bachelor's degree in finance, Accounting, Economics, Data Analytics, or a related field
5+ years of experience in financial analysis, analytics, or data roles, preferably in technology or cloud environments
Strong experience with financial modeling and multi‑source data analysis
High attention to data quality, consistency, and analytical rigor
Ability to communicate complex analytical outputs clearly to non‑technical audiences
 

Preferred :

Experience in FinOps, cloud cost management, or technology financial management
Proficiency in SQL; experience with Python and/or PySpark is an asset
Experience with data visualization tools (e.g., Power BI, Tableau)
Familiarity with cloud platforms (AWS, Azure, Google Cloud)

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