Top Data Analytics Jobs in Toronto

The Product Data Scientist will analyze user behavior, define product metrics, design experiments, and build dashboards to support data-driven product decisions.

The Senior Associate will manage complex data analytics projects, create coherent storylines from data, and communicate insights effectively to clients, ensuring project success.

As a Software Engineer, you'll build scalable micro-services, work with large data sets, and optimize performance, focusing on distributed systems and real-time analytics.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Lead the Retention Analytics team, providing actionable insights, driving retention strategies, forecasting performance, and managing a team of analysts to optimize customer retention.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.

The AI Product Engineer will develop user-facing products, using AI to enhance decision-making in paid advertising and will own features from ideation to launch.

As a Senior Software Engineer on the Analytics team, you'll design and implement backend services, manage deployments, conduct data analysis, and lead projects to enhance performance and features.

As a Senior Software Engineer, you'll oversee backend services development, manage Kubernetes deployments, conduct performance monitoring, and collaborate with cross-functional teams to enhance our messaging platform.

The Finance Director will lead the finance team, overseeing financial planning, analysis, and management practices to support the company's growth and performance optimization.

The Director of eCommerce and Marketing Analytics will transform data into insights, lead analytics across multiple business functions, and establish AI-enabled workflows to drive decision-making.

The Technical Solutions Manager bridges Sales and Software Engineering, leading technical discovery, designing solutions, and engaging customers to drive revenue growth.

As a Senior Data Scientist in Marketing Analytics, you'll partner with Marketing to solve problems, design data-driven solutions, lead experimentation, communicate insights, and operationalize solutions for business impact.

As a Data Scientist in Product Analytics, you will analyze large datasets, improve user experience, conduct A/B tests, and collaborate with teams to drive product insights and customer engagement.

As the first Data Engineer, you will architect the Snowflake governed query layer, enable AI-driven tools, and define data access standards for various departments, significantly shaping Knak's data infrastructure and analytics capabilities.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.

The Senior Data Analytics Engineer will develop reporting solutions, perform data analysis, improve data quality, and collaborate with stakeholders to enhance business metrics understanding. They should have strong SQL skills and at least 7 years of experience in analytics roles.

The GTM Analytics Lead will drive data-driven decisions across marketing, sales, and finance, optimizing performance and ensuring sustainable revenue growth through analysis and real-time insights.

The Director of AI Analytics will lead the analytics function, supporting various departments by transforming data into actionable insights and AI-enabled workflows, while ensuring data integrity and governance.

Lead workflow automation and business transformation initiatives leveraging AI across Operations and Finance. Manage stakeholder relationships, map business processes, and implement AI-driven solutions.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

The Account Executive will develop and implement sales strategies, manage relationships with vendors, and drive growth through effective prospecting and client engagement.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.

As a Staff Software Engineer, you'll architect and implement high-impact features, coach engineers, and lead initiatives in software development excellence, primarily using TypeScript and Vue for complex web applications and backend services.

As Analytics Lead, you'll drive data-informed decision-making, lead measurement strategies, mentor teams, and oversee analytics infrastructure, impacting client strategies.