Top Data Analytics Jobs in Toronto

The Associate Director will oversee data strategy and analytics, manage client relationships, and lead a team of analysts to drive data-driven marketing solutions and insights for clients, particularly in retail and digital media.

The Senior Associate, Credit Analytics will manage risk and optimize performance for Wealthsimple's credit products, evaluating portfolios and leading strategies for lending products like credit cards and overdrafts.

The role involves defining and owning the data strategy, establishing governance standards, and leveraging data for growth, analytics, and predictive modeling while collaborating across various teams to support institution-wide insights and decision-making.

The Principal Data Scientist will lead the development of machine learning models and analytics solutions, collaborating with cross-functional teams to address complex business problems and ensure successful model deployment.

This role involves designing and implementing data systems for clinical operations, using analytics to optimize study designs and forecast costs while collaborating with stakeholders and ensuring data governance.

As Analytics Lead, you will analyze rider experience, create metrics, develop dashboards, and collaborate with teams to enhance Lyft's rideshare services.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Lead the strategic development of Benevity’s data ecosystem. Oversee data governance, lifecycle management, requirements analysis, and ensure compliance with regulatory standards while managing backlogs for product features.

As a Data Analyst at Lyft, you will collaborate with teams to analyze data, streamline processes, and provide actionable insights to improve performance in bikeshare and scooter markets.

The Manager of Insurance Analytics leads a team to develop analytics frameworks for insurance decisions, ensuring accurate reporting and innovative data use to drive business goals.

The Senior Manager, Data Analytics will lead a team to transform data into insights, supporting national partnerships and driving business performance at Scene+. This role involves strategy execution, team development, and stakeholder engagement to optimize analytics processes and deliver impactful results.

The Analyst will conduct in-depth data analytics, work on financial modeling, and prepare client reporting using various data visualization tools, while collaborating with senior consultants and managing client relationships.

The Consultant will conduct data analysis, build reporting packages, and manage client relationships while ensuring quality control and mentoring junior staff.

Lead the total rewards and people analytics strategy, focusing on compensation frameworks and data-driven insights to align with business goals within a high-growth tech environment.

The Manager, Customer Analytics will drive insights and analytics across Jobber's post-sales journey, leading a team to enhance customer success and retention strategies through data-driven decision-making.

The Marketing Analytics Analyst will measure campaign performance, optimize marketing efficiency, and provide insights to improve customer acquisition, collaborating closely with marketing teams.

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.

The role involves managing account financial performance, analyzing metrics, leading financial governance, and providing actionable insights to stakeholders.

Lead the Retention Analytics team, providing actionable insights, driving retention strategies, forecasting performance, and managing a team of analysts to optimize customer retention.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

Design and maintain data models, manage data pipelines, optimize SQL queries, ensure data quality, and collaborate with the analytics team.