Top Data Analytics Jobs in Toronto

Lead pricing and analytics for Canadian Commercial Banking: deliver strategic insights to senior leaders, conduct deep-dive analyses on products and pricing, build scalable analytical solutions using SQL/Python, translate business needs into product requirements, and manage product launches in partnership with technology, sales, and operations.

Lead development of wealth analytics, reporting, automation, and LRC solutions. Design, validate, and deliver reports and dashboards, integrate and transform data, promote self-serve analytics, manage stakeholders, and ensure compliance and automation across processes.

The role involves developing analytics and reporting solutions, managing stakeholder communication, and ensuring compliance with legal and regulatory standards in wealth reporting.

The Manager of Fraud Analytics performs advanced data analytics to identify criminal behaviors, supports investigations, develops analytic solutions, and provides strategic recommendations while ensuring business alignment and data governance.

The role involves developing analytical approaches to translate business questions into insights, creating dashboards, reports, and enhancing data visualizations. It also focuses on tool development and training for non-analytical end users.

This role involves developing investment strategies, performing portfolio management, supporting tactical asset allocation, and ensuring compliance with governance standards for Sun Life's General Account.

The Director, Data Analytics & Insights leads data analytics strategies and teams, ensuring data-driven decision-making while collaborating with stakeholders across the organization.

As a Data Analyst, you will create and optimize Power BI dashboards, perform data analysis using SQL and Python in an Azure environment, and utilize Generative AI tools for enhanced analytics. You'll partner with stakeholders to develop user-friendly insights and solutions that support decision-making and governance within the organization.

The Senior Manager leads lifecycle strategies for Real Estate Secured Lending, focusing on renewals, risk management, and portfolio performance. Responsibilities include developing engagement strategies, collaborating with product teams, and leveraging analytics to enhance customer experience and retention.

As a Senior Associate, you will lead AI and analytics projects, developing models, data pipelines, and visualizations while collaborating with cross-functional teams.

The role involves supporting the digital R&D product portfolio management through strategy, financial management, resource optimization, and performance monitoring, ensuring decision-makers have timely insights.

Lead the development and delivery of enterprise data products, aligning KPIs, driving operational excellence, and supporting decision-making across various business functions.

The Data and Analytics Lead will enhance proprietary datasets, develop analytical models, manage data, and collaborate on business analysis within the Private Market Valuations team.

Build and maintain data pipelines and models for Financial Services, ensuring data quality, availability, and documentation. Collaborate across teams, automate testing and CI/CD, define standards and roadmap, and mentor junior engineers.

Lead development of predictive models and machine learning solutions to detect and prevent fraud. Mine large structured and unstructured datasets, provide data-driven recommendations to business leaders, collaborate with product teams, and scale analytics into production while providing specialized consulting and technical support.

Lead a regional renewals analytics team supporting group benefits clients. Oversee renewal analyses, financial modeling, carrier negotiations, and client-ready reporting. Coach analysts, ensure data integrity and consistency, partner with consultants and actuarial teams, and drive process and tool improvements (including PowerBI adoption).

Seeking a Senior Data Scientist to lead Pricing Optimization. Responsibilities include product strategy development, team leadership, market analysis, and collaboration across departments.

The Product Analyst will analyze product and customer data, define success metrics, build dashboards, and support data-driven decision-making across teams.

The Revenue Operations Manager will drive data-informed decisions, enhance forecasting and pipeline management, and optimize processes using advanced analytics and AI initiatives.

The Manager, Fraud Cards Analytics designs solutions for fraud detection using advanced analytics, collaborates with teams, and develops predictive models to improve business decisions.

This role involves analyzing trade data for reporting, providing insights to senior executives, and building relationships across teams to enhance decision-making and profitability.

The Senior Consultant, Risk Analytics will analyze retail portfolios at CIBC, providing insights, conducting competitive analyses, and communicating strategies to executives based on quantitative data.

The Manager, BI Consulting will lead BI initiatives, engage stakeholders, analyze requirements, design data solutions, and manage client relationships.

The Senior Product Manager drives product strategy, manages product life cycle, and collaborates across teams to enhance educational analytics solutions for diverse markets.

The role involves engaging with client teams to gather and analyze requirements, managing projects, acting as a point of contact, and collaborating with offshore teams to deliver analytical solutions.