Top Data Analytics Jobs in Toronto

Design and maintain data models, manage data pipelines, optimize SQL queries, ensure data quality, and collaborate with the analytics team.

Lead and advise clients on marketing performance by developing measurement frameworks and translating data into actionable insights. Collaborate with cross-functional teams to optimize B2B marketing efforts and report results effectively.

As a Senior Data Engineer at Discord, you'll create data pipelines, design database architectures, collaborate with data teams, and ensure data quality for analytics and business insights.

As a Senior Software Engineer, you'll build scalable systems, mentor peers, and contribute to AI-driven analytics product development, focusing on high-quality results and customer feedback.

Lead the Product Analytics team in conducting analyses, defining metrics, and creating data models to support product decision-making and growth strategies.

The role involves managing end-to-end recruiting processes, creating candidate pipelines, and engaging with external firms to attract talent for analytics roles.

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

As a Senior Data Scientist at Discord, you will analyze data, build dashboards, and champion A/B testing to enhance user experience.

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

Oversee business development and account growth for strategic accounts, focusing on top pharmaceutical and medical device clients while exceeding revenue targets.

The Senior/Lead Data Scientist will develop advanced forecasting models, collaborate with business partners, and guide a team in deploying analytical solutions.

Lead the Credit Risk & Analytics function, utilizing AI/ML for underwriting, portfolio monitoring, and collections strategy to enhance risk performance.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

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 a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

As a Data Scientist in Ads Reporting at Discord, you will build reporting infrastructure for ads performance, develop dashboards, and empower stakeholders with data insights.

Lead data science strategy for Discord's ads business, leveraging first-party data to enhance ad products and drive performance through cross-functional collaboration.

The Senior Manager, Sales Operations leads analytics strategy and reporting for GCX, partnering with teams to enhance data-driven decision-making and operational excellence.

The Staff Analytics Engineer will architect the management reporting warehouse, enforce data governance, collaborate with Finance, and ensure rigorous data standards for business reporting.

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

The candidate will design and deploy forecasting models, handle large-scale data processing, and work with stakeholders to enhance demand planning analytics.

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.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

As Senior Manager of Risk Analytics, you will lead a team, shape strategy, drive insights, and enhance risk management through data analytics.