Senior Business Insights Analyst in Toronto, Ontario

Work Location:

Canada

Hours:

37.5

Line of Business:

Data & Analytics

Pay Details:

We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

Job Description:

DEPARTMENT OVERVIEW

Our Leaders are committed to people development, career advancement and value diversity and inclusion. Are you looking for an exciting opportunity to?

• Transform the way we operate as a bank?

• Make a big impact on how we operate with data?

• Develop and deepen your knowledge of our core business, products, and operations?

Then the Canadian Personal Banking Data & Analytics (CPBD&A) team is your destination.

JOB DESCRIPTION

Take an integrated approach, as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup, and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement.

• Apply innovative analytical skills to the large, high-priority projects identified across the personal bank to address our greatest areas of opportunity

• Provide business expertise to place context around analytics discovery

• Develop analytical solutions to support insight generation that aligns to strategy and drives shareholder value

• Lead large complex analytics projects and identify opportunities to further optimize our current product suite through self-initiated insights

• Present insights back to executive leaders / business partners to drive strategic improvement and influence decisions and change on all organizational levels

• 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 the team through tactical analytic plans, while leveraging best practices in data engineering, statistical and machine learning modeling, and insight generation

• Build understanding of cloud infrastructure and advanced analytics capabilities within Personal Banking

QUALIFICATIONS

• Strong ownership mentality, proactive attitude, and ability to get things done

• Demonstrated 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 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

• Ability to translate complex problems and solutions into a simple story, tailored to executive audiences

• Excellent interpersonal and communication skills, both written and verbal

• Demonstrated ability to learn and apply new analytical techniques and adapting to the evolution within the financial services industry

• Understanding of products and strategies to challenge business cases and analyses

• Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse 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

TECHNICAL EXPERIENCE:

• 5-6 years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity

• Knowledge of analytical tools such as Python, PySpark, Jupyter Notebooks, data mining tools such as SQL, and Microsoft Applications (SSMS, Azure cloud, Office suite) and Bitbucket are all assets

• Experience with Hadoop (Hive, Pig, Impala) or other distributed file systems an asset

• Demonstrated knowledge in some of the following areas:

• Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)

• Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)

• Data visualization and storytelling in Tableau

• Educational Requirements/Accreditations:

• Advanced university degree in Statistics, Mathematics, Engineering, Economics, or other analytically based discipline, preferably at a bachelor’s degree or above or equivalent work experience

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 Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more (http://www.td.com/ca/en/about-td/who-we-are/benefits-of-working-at-td)

Additional Information:

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement:

N/A.

Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.