Top Data Jobs in Toronto

The Manager, Data Processing oversees the internal data team, manages vendor relationships, ensures data quality, and provides analytical insights into market trends. They are responsible for training staff, managing timelines, and collaborating with cross-functional teams to support strategic decision-making.

Design, build, and optimize data infrastructure and analytics solutions using Microsoft Azure. Collaborate with teams, implement data governance, and enhance data integration and BI performance.

The Staff Product Data Analyst will optimize product development and user experiences through advanced data analysis, influencing product strategies and customer retention efforts.

Lead applications systems analysis and programming activities, partnering with management teams to enhance business processes and systems improvements. Serve as a subject matter expert, managing multiple projects and mentoring mid-level developers.

Lead software engineering and data initiatives, defining architecture, driving product outcomes, and building high-performing teams to support rapid expansion.

Manage and grow the Data and Analytics business, deliver assessments, collaborate with technical teams, and develop strategies to drive client solutions.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

Lead the Kafka, Managed File Transfer, and RPA teams, ensuring 24/7 support, operational excellence, and service reliability for data platforms.

The Principal Data Scientist at Sanofi leads in machine learning and advanced analytics, driving data-centric product development and overseeing cutting-edge analytical approaches while mentoring junior colleagues.

Drive data-informed decisions by conducting advanced analysis, collaborating with cross-functional teams, and creating impactful visualizations to support business strategies.

The Sales Executive is responsible for achieving revenue goals through new business development, managing client pipelines, and leading negotiations with stakeholders in the financial services industry.

The Sales Executive is responsible for achieving revenue goals, managing sales cycles, developing new client relationships, and collaborating with Alliance partners in the Financial Services sector.

As a Data Engineer, you'll design and deploy data pipelines and APIs, ensure data governance, and collaborate with teams to enhance the enterprise data platform.

The Data Analyst will support campaign measurement, audience analytics, and programmatic operations, focusing on data storytelling and optimization of campaign delivery.

Design and develop data pipelines and applications for Growth, Sales, and Marketing functions at Stripe, ensuring data integrity and influencing project outcomes.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

Design, develop, and maintain high-performance low-latency streaming systems for critical applications, while leading projects and collaborating with teams.

Lead data science initiatives by designing and implementing machine learning models, collaborating with teams, mentoring members, and shaping data strategy.

Develop and maintain data processing pipelines, support data-driven experimentation, mentor junior engineers, and ensure data quality for product teams.

The Data Analyst will support Customer Operations through creating dashboards, analyzing financial data, automating reports, and identifying improvement opportunities.

The BI & Data Analyst analyzes data, collaborates with stakeholders, drives process improvements, and reports trends, focusing on automation within finance.

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

Design and build modern data solutions, collaborating with clients and teams, while focusing on effective data architecture, engineering, and ETL development.

The Technical Data Business Analyst will perform business and technical analysis for data projects, focusing on requirements gathering, SQL data analysis, and BI solution development using Power BI and Tableau.

The Data Manager ensures quality and integrity of clinical trial data, managing data activities from setup to closure, while collaborating with teams for efficient trials.