Senior Business Intelligence Analyst

Job Description

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: The Senior Business Insights Analyst will work with the Wealth data and analytics team and be accountable for partnering with stakeholders and delivering timely, meaningful analytics solution, to support managing risk and ensuring regulatory and policy compliance. We are looking for a self-motivated and innovative individual who excels in a fast-paced and high impact business team. Primary Responsibilities: Work closely with business stakeholders to understand business objectives and requirements, and design and execute on the analytical solutions in an accurate and timely fashion Work with various sources of data using Python, PySpark and other tools to generate analysis and reporting Develop insightful, functional and appealing data visualization to facilitate self-serve insights generation and actioning Become a data and subject matter expert to become a valuable and strategic partner who can provide thought leadership Provide proactive value-added insights (both verbal and written) in the form of analysis, interpretation and advice to highlight further business opportunities Project management and communication with stakeholders and partners to deliver on milestones and to manage timelines and SLA Manage partner inquiries, problem resolution, providing updates and communication including presentation and training as necessary Actively contribute to enhancing the team’s foundational and scalable processes and best practices for data extraction, manipulation, archiving, provision of insights, team de-risking needs and reporting development techniques Work effectively and efficiently in a fast-paced, challenging data and technology environment that leverages multiple databases and tools Work individually or as a team leveraging each other's knowledge and expertise Contribute to a positive team dynamic including collaboration, sharing best practices and making it a great place to work Job Requirements: Qualifications/Skills/Experience: Over 3 years of work experience in analytics and reporting Strong PySpark coding skills Strong problem-solving skills, solid background working w

Required Skills