Top Data Jobs in Toronto

Emburse seeks a Software Engineer in Test III specializing in data analytics to design, implement, and maintain data testing frameworks and validate analytical outputs in cloud data systems, using SQL and Python.

Collaborate with engineers to build AI design systems, optimize data infrastructure, and manage large-scale distributed systems for model development.

The Director of Data Analytics will lead the analytics team, develop data strategies, improve data quality, and drive insights for product innovation at KEV.

As a Manager of Data Infrastructure, you'll lead a team of engineers, manage data lake infrastructure, drive agile delivery, and partner on governance controls while ensuring operational excellence.

Lead global data governance, quality, and master data management efforts; oversee metadata, data migration/conversion for ERP implementations; manage and develop a global DG/DQ team and KPIs; ensure compliance and data integrity.

Manage data concerns for Canadian Personal Banking by identifying issues, leading investigations, and collaborating with various departments to ensure data quality and compliance with standards.

Manage Data Concerns for Canadian Personal Banking, lead investigations into data issues, support Data Strategy and governance, and collaborate with various teams for data initiatives.

Analyze campaign performance, identify challenges, offer insights, and support marketing strategies through data analysis and reporting.

The Program Manager oversees data-focused programs for a Wealth Management client, ensuring successful delivery through stakeholder engagement and project oversight.

The Senior Analyst will manage data concerns in Canadian Personal Banking, ensuring data quality, governance, and compliance while collaborating with various stakeholders to support data strategy initiatives.

The role involves architecting and curating data sources for digital experience measurement reporting, collaborating with partners, and ensuring data quality.

The Data Scientist will develop analytical frameworks, perform statistical modeling and insights generation to optimize customer engagement and loyalty programs.

As a Data Scientist, you'll develop machine learning models, analyze data, build prototypes, and work on integrating models into production. Collaboration with engineering teams and effective communication of insights to stakeholders are key responsibilities.

The (Senior) Analytics Engineer will develop SQL transformations, design data models, and collaborate with cross-functional teams to support business analytics.

The role involves defining directions within strategic goals, applying advanced ML techniques, and bridging technical innovation with business challenges to deliver impactful solutions.

As a Senior Data Engineer, you will design data integration systems, manage scalable data pipelines, and leverage AI tools to enhance data workflows, guiding complex data projects efficiently.

As an Android Engineer, you'll enhance automated tools for analyzing APKs, improve dynamic analyzers, and collaborate on security checks for Android applications.

The Director, Risk & Data will lead a global team in risk analytics, manage production and reporting processes, and drive strategic initiatives within the investment risk management sector.

The role involves data engineering functions like data modeling, quality, profiling, ETL, and supporting partners in data management activities while ensuring compliance with enterprise standards.

The Data Designer III role involves data engineering, managing data pipelines, communicating with stakeholders, leading data governance, and ensuring quality data management practices.

As a Data Designer II, you will guide data management initiatives, implement data quality processes, support data lifecycle, and collaborate with business and technology teams for effective data solutions.

The Product Group Technology Lead for AI4DM is responsible for developing and managing AI solutions for Data Management, focusing on automating processes and enhancing governance across data systems.

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

As a Lead Data Analyst for Marketing Analytics, you will develop measurement frameworks for SEO and LLM, create insights across the organic marketing funnel, analyze customer journeys using SQL and Python, and present findings to leadership to optimize growth strategies.