Top Data Analytics Jobs in Toronto

As a Data Scientist in Product Analytics, you will analyze data, create dashboards, and develop models to support product improvements and strategic decisions.

Lead the Internal Audit Data Analytics team to transform data into actionable insights, manage stakeholder requirements, and develop intuitive dashboards using various analytical tools and methodologies.

The Senior Manager of Advanced Analytics leads the development of statistical models and machine learning algorithms to optimize pricing, revenue generation, and event scheduling, while collaborating with cross-functional teams and communicating insights effectively.

The Head of Analytics will lead the data and analytics team, develop analytics strategy, and collaborate with leadership to provide insights and ensure data governance.

The Strategy & Analytics Associate analyzes client data, creates dashboards, generates reports, and supports project management while ensuring data accuracy and providing client presentations.

As a Data Scientist focusing on GenAI, you will develop analytical models, design generative AI products, and collaborate with teams to enhance business solutions.

The role involves providing data-driven insights, designing technical solutions, and enabling data-driven decisions in Customer Success and Revenue Operations.

You will provide high-quality analytical input for client projects in life sciences, assisting in quantitative analysis and developing strategic solutions alongside senior consultants.

Lead McAfee’s Enterprise Data Analytics team, overseeing data curation and governance, while managing a high-performing team to ensure data quality and reliability.

The Sr. Business Analytics Manager will lead the Strategic Business Team, overseeing the quoting process, analyzing opportunities, and ensuring project alignment with corporate initiatives while collaborating on tools and data management.

Manage the Strategic Business Team, conduct tactical analysis, support sales quoting processes, ensure data accuracy, and drive improvements across projects.

Lead analytics strategy development and cross-functional solution delivery for clients, driving data-driven decision-making and process evolution.

As a Senior Analytics Engineer, you'll lead the transformation layer of Alpaca's data platform, integrating diverse data sources and ensuring high standards in data modeling and accessibility for various stakeholders.

The Senior Analyst in Data & Analytics will implement advanced analytical solutions, collaborate with teams, and provide strategic recommendations by analyzing data for business decisions.

The Sr. Principal of Analytics & Reporting will provide data-driven insights, support revenue modeling, and enhance decision-making for operational efficiency.

The Associate Director leads analytics for clients, guiding measurement strategies, collaborating with teams, mentoring staff, and innovating solutions for improved marketing performance.

Analyze data to drive performance improvements in digital initiatives, define KPIs, present reports, and collaborate with teams for optimization.