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We are always looking to hire the right candidates for TD both at a junior and senior level for business insight analytics.
Your resume and application will be placed in a pool. As open positions come up, we will review your resume and application to help fill the open positions.
Positions are available in Montreal, Ottawa and Toronto.
What does TD Data & Analytics stand for? For starters, we believe in forward-thinking leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.
It is our People who make the difference in the dynamic and diversified businesses of Personal Banking. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.
Reporting directly to the Senior Manager, Business Insight Analytics, the Manager, Business Insights & Analytics, will provide flexible analytics capacity across Canadian Personal Banking and directly with product teams to develop and implement elite analytical solutions and help make analytics a bold advantage for TD.
You will be considered a business analytics subject matter expert for Personal Banking teams and will work in close consultation with product leaders, along with data and analytics teams across Personal Banking.
We are looking for a self-motivated individual who thrives in a dynamic fast-paced and high impact business teams.
Design and deliver powerful business insights, with a focus on advancing the value realized from advanced analytics techniques
Partner with product managers, business insight analysts and product data analysts on Personal Banking analytics initiatives
Apply innovative analytical skills to the large, high-priority projects identified across Personal Banking to address our greatest areas of opportunity
Provide business expertise to place context around analytics discovery
Educate business partners and build awareness on how to interpret the data & analytics to drive decision-making that will propel the business forward
Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
Lead large complex analytics projects to see opportunities to further optimize our current product suite through self-initiated insights
Present insights back to executive leaders / business partners to drive strategic improvement
Build strong relationships with product partners and other key internal and external partners (Enterprise Analytics, Data Governance & Reporting, Marketing, Customer Strategy, etc.)
Challenge analytical thinking within products and guide junior analysts through tactical analytic plans and identify standard methodologies
Lead cross product analytics initiatives and projects (e.g. Research &Development programs, Customer Lifetime Value)
Build understanding of big data and advanced analytics capability within Personal Banking
Shown passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can now be done to resolve the issue
Ability to use predictive analytics, customer segmentation, and sensitivity analysis to develop detailed business cases and explain business value of projects
Shown aim to learn attitude and ability to apply new analytical techniques and adopt evolution within the industry
Technical depth of understanding to challenge business cases and analysis
Excellent interpersonal and communication skills, both written and verbal
Capable of working in and across team, leading partners and align leadership - including proven teamwork and ability to build deep relationships with different business partners
Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
Strong understanding of test and experimental design (Test and Learn)
Aspirations to build in-depth industry knowledge, including current big data trends and challenges globally
Experience with R, Python, Spark, Scala, Hive, Impala and Hadoop or other distributed file systems an asset
Educational Requirements / Accreditations :
Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline, preferably at a Masters degree or above
5+ years of relevant experience in analytics, and / or data science
Deep expertise of analytical techniques for business problem solving such as regression models, clustering, machine learning, etc.
Advanced knowledge of analytical tools such as SAS, SQL, and MS Office applications such as Access, Excel and Power Point
Level Min Years Experience Junior 0-2 Intermediate 3+ Senior 5+ Management 7+
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported.
We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve.
If you require an accommodation for the recruitment / interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.