JOB DESCRIPTION

Responsible for interpreting data, producing insights, creating relevant collateral/ data visualization reports, and recommending actions on complex issues to support business needs. You will perform a variety of activities, which may include:

• Perform Python/SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineering
• Analyze large, spatially enabled data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
• Support team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or models
• Proactively identify and solve for business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
• Collaborate with business partners to support the business case development process for analytics solutions

JOB REQUIREMENTS

• Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Business, Data Analytics, Business/Commerce or related field with the intent of going back to school at the start of your work term.
• Must be enrolled in an undergraduate degree with the intent of going back to school at the start of your work term
• Strong statistical and analytical skills and interest are necessary.
• Strong proficiency in one or more of Python, SQL, or other data-related programming languages.
• Knowledge in spatially enabled data, geospatial processing tools/platforms
• Knowledge in one or more Azure, R, AWS, Databricks and Github is a plus
• Knowledge in Tableau and/or PowerBI
• Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.

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 Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

• Leadership talks with key Leaders from across the organization
• Connect and Learns on topics such as Innovation
• Diversity and Inclusion and Personal Branding and so much mor

Responsible for interpreting data, producing insights, creating relevant collateral/ data visualization reports, and recommending actions on complex issues to support business needs. You will perform a variety of activities, which may include:

• Perform Python/SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineering
• Analyze large, spatially enabled data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
• Support team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or models
• Proactively identify and solve for business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
• Collaborate with business partners to support the business case development process for analytics solution