Senior Business Intelligence Analyst

TD•Toronto, ON

2d•CA$81,600 - CA$115,200•Onsite

About The Position

The Credit Loss Allowance & Business Insights team is a group of Business Insights experts that thrive to improve our Risk Management monitoring and operations related to Retail Credit Risk Management. Working closely with 2A Risk Partners, Line of Business, Technology, and Finance partners, we provide analysis to develop and support programs and initiative designed to improve the risk experience for our colleagues and customers. We believe in forward-thinking leadership and insights. As a member of the Retail Risk team, you will support the Small Business Banking team through comprehensive reporting and analytics. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data. The Business Intelligence group explores into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization. This is the team building the tools, reports, dashboards, cubes, and scorecards that deliver and process vital data to business partners across the enterprise. Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before. You are exactly the kind of thinking TD needs when it comes to our business insights and analytics. You will need to take a holistic, high-level approach to creating key business insights for major projects and initiatives across TD. Reporting to the Manager, this role is responsible for providing Business Insights & Analytics, working closely with various internal stakeholders/partners to understand reporting and business analysis objectives, identify data / information needs, opportunities for improvement and help inform and support business decisions and strategies.

Requirements

Degree in Computer Science, Math, statistics, engineering, or other quantitative discipline
5+ years relevant experience working with Python, SQL Server, Advanced SAS, and Excel
3+ years relevant experience with visualization tools such as Power BI, Tableau
Above average understanding of EDW/EDPP customer and transactional
Experience & effectively communicate analysis results to business audiences not familiar with complex data and analytics
Agility, flexibility, adaptability, a self-starter with a can-do positive attitude
Strategic thinker with strong analytical and problem-solving skills
Proficient to analyze, organize and prioritize work while meeting multiple deadlines
Proficient to work cooperatively and independently, communicate effectively (both verbal and written)

Nice To Haves

Knowledge of Akora platforms and data accessing methods considered an asset
Experience with Spark, Scala, Hive, and Impala is an asset
Retail Banking Product knowledge and experience is an asset

Responsibilities

Execute with excellence on key programs / plans and data requests accurately and within a timely manner
Utilize both quantitative and qualitative methodologies to interpret and present data effectively and clearly
Develop analysis and dashboards to illustrate business trends and identify areas of opportunities
Produce insights and recommend business actions to support risk strategy and/or solve business problems
Develop analysis to corroborate initial proof of concept
Continuously enhance knowledge /expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
Establish effective relationships across multiple businesses, technology partners, program and project managers etc.
Work in partnership with various functional areas to provide day-to-day support and delivery of analytics
Support a positive work environment that promotes service to the business, quality, innovation and teamwork; ensure timely communication of issues/points of interest
Identify and recommend opportunities to enhance productivity, effectiveness, and operational efficiency