Top Data Jobs in Toronto

This internship involves data analysis, creating reports, and collaborating with stakeholders to extract actionable insights for decision-making.

The Senior Data Scientist will develop machine learning algorithms and models, create efficient pipelines, and deploy solutions for enhancing data-driven decision-making in insurance processes.

Join the Customer Data Performance team to resolve performance issues, manage inquiries, collaborate on improvements, and ensure data integrity in transactions.

The Manager will lead data-driven auditing processes, leveraging analytics and AI to enhance audit efficiency and support strategic initiatives.

The Senior Data Scientist will design and implement advanced AI solutions for the payments industry, focusing on model deployment and performance monitoring.

As an eCommerce Data Analyst, you'll monitor KPIs, perform market research, and support eCommerce initiatives while building data pipelines and models.

The Senior Data Analyst role involves enabling data-driven decisions, optimizing user acquisition signals, and collaborating with engineering teams for accurate data insights.

The Director of Data Science leads a team, provides project oversight, and leverages big data for actionable business solutions at Visa.

The Lead Analyst will analyze data, provide insights, develop reports and dashboards, optimize processes, and support data-driven decision-making across the organization.

The Data Management Analyst will ensure master data accuracy, manage data integrity across ERP systems, and support business data requirements through analysis and collaboration.

The Senior Data Engineer will lead the design and implementation of data architectures, develop data pipelines, manage database performance, and collaborate with governance teams to improve data operations and integration.

As a Manager, you will lead data analytics efforts, transforming complex data into actionable insights while leveraging various technical tools and methodologies.

As a Data Scientist, you will analyze data, run experiments, and collaborate with teams to improve pay platforms, prevent fraud, and enhance user experiences.

The Data Engineer will collaborate with the Client Reporting team to develop and maintain reporting processes, enhance applications for client reporting, and assist in the transformation of legacy applications for cloud adoption.

Design and maintain scalable ELT/ETL data pipelines to process large volumes of data, ensuring quality, integrity, and efficiency across platforms.

As a Data Modeler, you will design and create dimensional data models, maintain data governance, support teams with data updates, and develop ETL processes in SQL while collaborating with Data Engineering and Analytics teams.

As a Data Analyst, you will collect, clean, and analyze data to identify trends and provide recommendations for decision-making across teams.