Business Insights Analyst II

Description

Montréal, Quebec, Canada

Hours:

35

Line of Business:

Analytics, Insights, & Artificial Intelligence

79 100 $/$79,100 - 111 700 $/$111,700 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.

Responsibilities

• Design, build, and manage automated dashboards, reporting solution, and data pipelines that provide timely, accurate views of underwriting performance, portfolio trends, service measures, and operational outcomes.
• Develop self-serve analytical tools that help Underwriting leaders and business partners explore results, identify opportunities, and make informed decisions.
• Perform deep-dive exploratory and statistical analyses to uncover emerging trends, performance drivers, risk patterns, operational gaps, and improvement opportunities.
• Translate business questions into analytical solutions by defining measures, selecting appropriate methods, and turning complex findings into practical recommendations.
• Evaluate the impact of underwriting initiatives including process changes, business rules, segmentation strategies, automation, and other operational or portfolio actions.
• Partner across Underwriting and related functions to understand workflows, data needs, and decision points, and to deliver solutions that support measurable business outcomes.
• Act as an AI and automation enabler by applying appropriate tools to streamline analytical processes, accelerate insight generation, and modernize recurring workflows.
• Ensure data quality and integrity through robust validation, reconciliation, documentation, and continuous improvement of data processes.
• Communicate insights clearly using effective data visualization and storytelling for both technical and non-technical audiences.
• Contribute to team capability by sharing technical knowledge, promoting analytical best practices, and supporting colleagues through peer review and mentoring.
• Mentor and support team growth, sharing technical knowledge and business insight to uplift team capability as a senior member of the team

Requirements

• Bachelor's or Master's degree in Actuarial Science, Business Intelligence, Computer Science, Statistics, Mathematics, Data Science, or a related field
• This job posting is intended for candidates with 5-7 years of experience, including:
• Experience in the general insurance industry (preferred)
• Expertise in analytics, data analysis, and statistical analysis
• Strong analytical and statistical skills, with the ability to structure ambiguous business problems and develop evidence-based recommendations.
• Strong coding skills in SQL and Python, including data preparation, analysis, automation, and quality-control routines.
• Experience with data visualization and business intelligence tools such as Power BI or Shiny/Posit.
• Experience working with large or complex datasets and building repeatable, well-documented analytical solutions.
• Strong attention to detail, particularly in data validation, reconciliation, testing, and documentation.
• Strong written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical audiences.
• Critical thinking, creative problem-solving, sound judgment, and effective priority management.
• Ability to work independently while collaborating effectively in a dynamic, cross-functional environment.
• Bilingual in English and French (preferred)
• Insurance Experience
• Candidates with general insurance experience will be strongly considered, especially those who can combine insurance knowledge with hands-on analytics and technical delivery.
• Experience in Property & Casualty insurance, particularly in Underwriting, Pricing, Product, Claims, Risk, or Insurance Operations, is preferred.
• Knowledge of underwriting processes, risk assessment, policy lifecycle, portfolio performance, or insurance operational metrics is a significant asset.
• Experience working with policy, quote, claims, billing, broker, customer, or underwriting workflow data is an asset.
• Familiarity with Guidewire or comparable policy administration, claims, or insurance technology platforms is an asset.
• Who We Are:
• As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.
• TD Insurance offers a wide range of products, including General Insurance and Life and Health. Everyday, we strive to make every interaction, product and experience remarkably human and refreshingly simple for more than four million customers who count on us.
• 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
• 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.
• Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
• 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.
• If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
• We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
• 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.

Conditions

Montréal, Quebec, Canada

Hours:

35

Line of Business:

Analytics, Insights, & Artificial Intelligence

79 100 $/$79,100 - 111 700 $/$111,700 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.