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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:

Job Description:

Data Cleaning and Preparation: Clean and prepare data for analysis by handling missing values, outliers, and inconsistencies. Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and anomalies. Data Visualization: Create clear and informative visualizations using tools like Tableau to communicate insights effectively. Data Pipeline Development: Build and maintain data pipelines to automate data ingestion, transformation, and loading processes. Statistical Analysis: Apply statistical techniques to analyze data and draw meaningful conclusions. Machine Learning: Explore basic machine learning techniques (e.g., regression, classification) to build predictive models. Collaboration: Work closely with business stakeholders to understand their needs and translate them into data-driven solutions. Problem-Solving: Identify and resolve data-related issues, providing innovative solutions. Data Documentation: Document data processes, data flows, and data definitions to ensure transparency and maintainability. Continuous Learning: Stay updated with the latest trends and technologies in the field of data science and analytics.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 1-3 years of experience in data analysis and visualization.
• Strong proficiency in SQL and Python.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Knowledge of statistical concepts and techniques.
• Basic understanding of machine learning concepts.
• Strong analytical and problem-solving skills.
• Good communication and presentation skills.

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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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

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):