Sr. IT Data Analyst

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Technology Solutions

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:

We are looking for someone to provide a broad range of systems and application support, research and analysis, administration, performance availability monitoring and management.

Meaningful work is fueled by meaningful performance and career development conversations with your manager. Here's some of what you may be asked to perform:

KEY ACCOUNTABILITIES:

• Develop, implement, and maintain advanced analytics systems that simplify complex data problems into actionable insights.
• Analyze complex datasets to identify trends, opportunities for growth, and areas for improvement.
• Create comprehensive reports based on data mining, analysis, and visualization to support business decisions.
• Evaluate and improve internal data handling systems to ensure data integrity, efficiency, and accuracy.
• Collaborate with managers and users to gather requirements, ensure data solutions meet business needs, and maintain strong relationships across departments.
• Design and implement data acquisition processes, ensuring scalability and performance optimization of the solution.
• Create and maintain interactive data visualizations from multiple data sources, helping decision-makers understand key metrics and KPIs.
• Continuously analyze data to answer key questions and provide strategic recommendations to improve productivity and efficiency.
• Ability to write Stored Procedures, write SQL queries, and ability to analyze the SQL data.
• Work with functional team to understand business requirements and build solutions.
• Document the technical design specifications.
• Review and Manager IT vendor deliverables.

• Undergraduate Degree or Technical Certificate.
• 5-7 years relevant experience in data analytics, with a proven ability to mine, evaluate, and visualize data.
• Strong proficiency with Python programming, especially data science libraries such as pandas, numpy and matplolib. Comfortable with version control and basic shell commands.
• Basic understanding of statistics and data visualization principles.
• Ability to transform raw data into meaningful insights that drive business performance.
• Experience within the Financial Industry.
• Ability to work independently in a senior/lead role on a diverse range of tasks and may be relied upon to coach/educate others.
• Strong subject matter expertise, as you prepare to provide teams, and/or project team with technical guidance and assist with highly complex troubleshooting/problem resolution.
• High comfort level in leading the support of highly complex and/or comprehensive applications/systems and/or business lines.
• Readiness to review, participate in and implement procedures.
• Strength in consulting with other functional areas to provide technical expertise on area of specialization by acting as a reference on technology, trends and processes related to your own area.
• Strong interpersonal communication skills and can work effectively with vendors to fulfill support requirements.
• Leadership in enhancing knowledge/expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery.