Top Data Analytics Jobs in Toronto

Cygnus seeks Data Scientists and Analytics Developers committed to customer success, emphasizing ownership and a strong value system.

The role involves coordinating analytics initiatives, managing telemetry, overseeing backlog management, facilitating team rituals, and collaborating across teams to support high-impact initiatives within game development projects.

The Director of Analytics leads the analytics strategy for Marvel Strike Force, manages a team, and uncovers insights to drive player experience and revenue.

The role involves solving ambiguous fraud-related problems, collaborating with teams to mitigate fraud risks, conducting data analysis, and developing metrics and visualizations to enhance decision-making.

The Data Engineer will collaborate with stakeholders to build and deliver data solutions, manage data pipelines, and mentor team members while supporting data exploration initiatives.

The Manager, Customer Analytics will lead a team to drive insights throughout Jobber's customer journey, improving satisfaction and retention while informing business decisions using data analytics.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

As an Analytics Engineer, you will develop scalable data models, manage ELT workflows, ensure data accuracy, and collaborate with teams to support analytics for product growth.

The Senior Analyst supports revenue management and strategy development by conducting analytics, preparing reports, and collaborating with various business units to achieve organizational goals.

The role involves managing a Sales Analyst team, developing reporting frameworks, analyzing sales data, collaborating with cross-functional teams, and implementing process improvements.

The Senior Analyst, Data Strategy & Analytics drives client success by analyzing digital campaign performance, extracting insights, and leveraging marketing technology.

As a Senior Data Analyst in Marketing, you will analyze marketing data, build models, and provide insights to drive marketing strategy and budget allocation.

As a Growth Engineer, you'll analyze customer behavior, build automated systems to predict user actions, and drive product strategies using data insights.

Lead a team of analysts to drive revenue strategy and analytics by developing forecasting models, performance frameworks, and providing insights for revenue planning across various departments.

Lead analytics and insights to optimize pipeline growth and performance across segments, leveraging advanced analytics and AI tools.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead data-driven insights for clients through research and analytics, enhance measurement strategies, mentor team members, and create thought leadership content.

The Senior Analyst will leverage workforce data to provide insights across the employee lifecycle, facilitate data-driven business decisions, and maintain business intelligence tools.