Top Data Analytics Jobs in Toronto

The Senior Client Analytics Partner will help B2B clients optimize marketing strategies and measure success through advanced analytics, reporting, and client collaboration.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

Lead analytics strategy across Game Studios, Platform, and Publishing, driving data-informed decisions and operational excellence with a high-impact team.

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.

Analyze subscriber behavior and retention metrics, produce insights for strategy, measure A/B test impacts, and automate reporting with Data Engineering.

The Principal Analytics Engineer will design and build a marketing intelligence system, architecting data products and enabling AI interactions with business data.

As a Senior Analytics Engineer, you will build a modeling layer in dbt and Looker, mentor others, and ensure actionable insights are delivered, while migrating from legacy data systems to a modern stack.

The Analytics Implementation Manager will lead the implementation and validation of analytics infrastructure, ensuring measurement accuracy and reliability across client accounts. Responsibilities include deploying tagging solutions, managing data layers, coding in JavaScript, and collaborating with cross-functional teams to troubleshoot and enhance performance tracking.

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

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.

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

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

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

The BI Analytics Intern will design analytics dashboards in Salesforce, integrate LLM data, and establish an internal data repository while collaborating with multiple teams.

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.

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 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.