Top Data Analytics Jobs in Toronto

The Principal IP Consultant delivers expert IP law guidance to clients, manages client issues, and collaborates with product teams. Responsibilities include client education, tracking, problem-solving, and improvement of client engagement processes.

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

As an Analytics Engineer, you will design ETL pipelines, build data models, and collaborate with product teams to enhance data accessibility and analytics across the company.

Lead analytics consulting engagements: translate business problems into end-to-end data science and ML solutions, present to executive stakeholders, manage projects and global teams, and operationalize analytic outputs with IT and data engineering.

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

As a Staff Analytics Engineer, you will design self-serve BI solutions, optimize analytical infrastructure, and collaborate with stakeholders to enhance data accessibility and decision-making.

Lead technical strategy and hands-on development for Faire's data platform and analytics. Design and operate scalable, secure data ingestion, storage, compute, orchestration, and governance. Mentor teams, define architecture and roadmaps, improve performance and cost-efficiency, and ensure monitoring, alerting, and data integrity across analytics workflows.

The role involves developing capabilities for data analytics, improving data models, and mentoring teams while ensuring data quality and integrity.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

As an Account Executive, you will drive new business opportunities and manage existing accounts in the telecom sector, contributing to revenue growth and sales strategy execution.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

Manage customer onboarding and ensure users maximize Wonderly's platform. Diagnose issues, launch ads, and monitor funnel performance to drive real results for customers.

The Actuarial Specialist will lead claims analytics initiatives, ensuring data soundness and contributing to predictive use cases while collaborating with various teams for workflow enhancements and reporting.

The Senior Manager, Canadian Provisions and Analytics leads risk reporting and analytics initiatives, ensuring alignment with regulatory standards while fostering collaboration, performance, and strategic input within the team.

The role involves optimizing marketing acquisition through advanced measurement frameworks, attribution strategies, web analytics, and collaboration with technical teams, focusing on data-driven decision-making for growth.

As a Senior Data Scientist, you'll develop machine learning models and perform analyses to optimize customer engagement and marketing programs for retail operations.

Manage product teams to develop AI-driven data analytics for the medical devices sector, enhancing product strategies and achieving commercial goals.

Manage the Analysis & Reporting team, oversee reporting processes, provide business insights, and support operational initiatives within Customer Operations.

The Senior Data Scientist will develop machine learning models, provide insights for retail strategies, and enhance customer engagement through advanced analytics.

The Senior Consultant will enhance risk reporting, ensure data quality, and support project delivery within Risk Management, utilizing SQL and BI tools.

The Consultant, Automation & Analytics designs and implements automation solutions using various tools to improve operational efficiency and address business problems. They provide technical leadership, consult with management, and ensure designs align with business requirements.

As a Consultant in Fraud Analytics, you will analyze retail customer transactions to optimize fraud detection strategies using advanced analytics and statistical analyses. You'll conduct data analysis, manage fraud mitigation systems, and apply predictive modeling methods to reduce fraud losses while improving customer experience.

The Manager, Media Analytics & BI Enablement drives data analysis and insights for Marketing, optimizing performance and ensuring data integrity across platforms. Requires expertise in media data and analytical tools.

Lead the transformation of analytics teams, define enterprise analytics strategy, standardize processes, enhance collaboration, and foster data-driven decision-making.

The role entails managing advanced analytics, stress testing processes, and quantitative models while ensuring compliance and liaising with finance groups. Responsibilities include documentation, leading projects, and mentoring staff in a fast-paced environment.