Top Data Jobs in Toronto

The Account Executive will drive revenue by engaging mid-market and enterprise businesses in data-sensitive sectors, managing the sales process, and building relationships with C-level stakeholders.

The Senior Data Engineer will develop and maintain data platforms on Google Cloud, optimize data pipelines, and support Data Science teams in model training and analytics, collaborating closely across departments.

The Data Engineer will design and build robust data pipelines using Microsoft Fabric and Azure services, focusing on both structured and unstructured data processing, ensuring data quality and supporting analytics and AI-driven insights.

Lead and manage the data engineering team and architecture platform for Horizon3 Labs, ensuring compliance, integration, and the successful delivery of data projects.

The Data Analyst will support growth strategies by analyzing performance, diagnosing issues, and providing insights to optimize initiatives and drive growth. The role includes collaborating with stakeholders and managing complex data challenges.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Data Analyst, Specialist role focuses on data analysis, automation, and governance to provide insights supporting IT strategy and decision-making.

The Data Analyst Developer Intern will assist with data collection, preparation, analysis, and automation tasks using Python and data visualization tools, while collaborating with teams to align data solutions with business goals.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

The Data Migrations Specialist will manage customer data migrations, ensuring successful transitions into Clio products while providing exceptional customer service and identifying process improvements.

The Senior Data Analyst will deliver technical expertise in data management, build reporting solutions, and ensure data integrity, assisting organizational decision-making processes.

Lead Data Engineers at Thoughtworks manage data engineering projects, design data solutions, implement data pipelines, and ensure data governance and quality.

The Data Analyst will conduct data research, engage with stakeholders, analyze data, and create reports to support business insights and decision-making.

The Data Scientist will develop dashboards, perform data modeling, create data products, and utilize predictive analytics to provide insights for operational efficiency and decision-making.

The Data Designer I develops data models, assesses business data requirements, manages data dictionaries, ensures data quality, and collaborates with technical teams. The role involves resolving data issues and promoting a culture of continuous improvement while adhering to data governance principles.

Provide technical leadership in data analysis, design and implement ETL frameworks, data governance, and reporting platforms; collaborate with colleagues for project success.

The Credit Risk Data Analyst will support risk reporting, analyze data for insights, develop reporting solutions, and ensure accurate data governance.

The Data Analyst will address client queries, ensure data accuracy, communicate findings, and collaborate with teams to enhance processes.

The Data Engineer will design, develop, and maintain data pipelines, transform data, and support analytics for investment and client reporting in a cloud environment.

The Principal Engineer, Data Solutions leads technical standards in data modeling and analytics, mentors team members, solves complex data problems, and develops scalable data solutions, focusing on hands-on coding and code quality.

The Lead Data Support Analyst will oversee data workflows, troubleshoot data issues, lead a team, and maintain data health across reporting systems.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

As a Data Engineer, you will design and implement scalable data pipelines and analytics systems to improve AI-powered legal products, ensuring data governance and quality while collaborating with cross-functional teams.

The Data Scientist will enhance community safety at Lyft by leveraging data, designing experiments, and mentoring junior scientists. Responsibilities include analyzing metrics, building models, and collaborating across teams to improve safety initiatives.

The Senior Data Analyst will deliver insights for the business, create reporting processes, and collaborate with stakeholders to support strategic goals.