Business Insights Analyst II
TD
Work Location: Montréal, Quebec, Canada Hours: 35 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: 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. Job Description: Key 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
- 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)
- 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.
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