Top Data Jobs in Toronto

The Data Analyst will support Operations by analyzing data to enhance efficiency, produce reports, and support strategic decisions, requiring 2+ years of relevant experience.

The Senior Data Scientist manages analytical projects, develops models using statistical techniques, and communicates insights to stakeholders while mentoring junior staff.

The Senior AI Engineer will design and deploy AI solutions, manage predictive model pipelines, and collaborate with stakeholders to integrate data science findings into business operations.

The Senior Customer Data Scientist will deliver data science and machine learning services, build custom data models, and train customers on data science concepts.

The Tech Lead, Data oversees the Data Team's technical strategy, collaborates on scalable data products, and mentors junior developers, focusing on security, scalability, and Agile practices.

Lead the design and implementation of test data management solutions, collaborate with teams to define strategies, and utilize data tools for quality assurance and visualization tasks.

The Senior Data Analyst will analyze claims data to create insightful reports, manage stakeholder expectations, and support better business decisions. Key responsibilities include data manipulation, creating visualizations, and consulting with business teams.

Manage Risk and Finance data governance, ensuring data quality, compliance with regulations, and improving processes across business units.

The Senior Manager oversees data governance, policy implementation, ensures data compliance and security, and drives organizational change to optimize data management practices across teams.

The Azure Data Engineer will design, build, and maintain data solutions using Azure technology, optimizing data processes and collaborating with stakeholders to develop data extraction and transformation pipelines.

As a Data Scientist, you will develop advanced analytics and machine learning models to support trading strategies, collaborate with various stakeholders, and improve business decisions through data insights.

As a Data Engineer at Lyft, you will build and manage scalable data pipelines, improve data models, ensure data quality, and enhance data processing performance while collaborating with analytics teams.

As a Principal Data Scientist, you'll lead research projects, develop data-driven solutions, build data pipelines, and collaborate with teams using machine learning techniques.

The Data Analyst is responsible for master data management, reporting and data visualization, utilizing Power BI and SQL for actionable insights to support business decisions.

The role involves designing dashboards and analytics solutions, optimizing data visualizations, and collaborating with teams to improve decision-making processes through insights derived from data.

As a Data Valorization Analyst, you will analyze data to support business decisions, develop ETL solutions, create management indicators, and ensure data quality. Additionally, you'll provide training materials and support for data users.

As a Data Engineering Advisor, you'll develop, maintain, and support data systems and pipelines, ensure functional analysis, and improve data management services.