Top Data Analytics Jobs in Toronto

The Senior Analytics Engineer will build data models and pipelines, collaborate with teams to optimize data use, and deliver actionable insights, focusing on business value and efficient data solutions.

Manage daily operations and delivery for text-based RPGs, driving player engagement through strategic LiveOps, analyzing data, and leading cross-functional teams.

Perform financial due diligence, prepare analyses for acquisitions, and interact with clients while collaborating with other practice areas.

The Senior Business Credit Risk Analytics Advisor conducts analyses to monitor credit risk exposure, advises clients on strategic initiatives, and represents the unit in committees, while ensuring development of a data ecosystem for credit analysis.

As a Data Analyst, you'll own the analytics strategy for products, collaborate with teams, and leverage AI tools to deliver insights and enhance decision-making for products used by professionals worldwide.

The Senior Analytics Engineer will design and deploy analytics solutions, collaborate with clients, mentor teams, and contribute to AI-driven initiatives.

The Consultant will conduct data analysis, build reporting packages, and manage client relationships while ensuring quality control and mentoring junior staff.

The Analyst will conduct in-depth data analytics, work on financial modeling, and prepare client reporting using various data visualization tools, while collaborating with senior consultants and managing client relationships.

Lead the total rewards and people analytics strategy, focusing on compensation frameworks and data-driven insights to align with business goals within a high-growth tech environment.

The role involves building scalable data models, developing reports and dashboards, collaborating with stakeholders, and ensuring data quality for decision-making.

The Director, Performance Analytics leads the development of measurement frameworks and KPIs for B2B marketing programs, collaborates closely with various teams, and provides insights that influence decision-making and optimize campaign performance.

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.

The Manager, Data Analytics and Visualization leads the design and delivery of analytics and reporting for portfolio management, leveraging data visualization expertise to provide actionable insights and support business performance.

Join the eBay Search product team as a Data Scientist focused on A/B testing and insights, enhancing search features and driving growth through data analysis.

Lead and mentor the Regulatory Analytics and Data Science teams, collaborate with cross-functional partners, and develop tools for data-driven decision making.

The Manager of Fraud Analytics performs advanced data analytics to identify criminal behaviors, supports investigations, develops analytic solutions, and provides strategic recommendations while ensuring business alignment and data governance.

The role involves executing risk and regulatory reporting solutions, analyzing data for insights, leading risk reporting frameworks, and advising stakeholders.

The Business Analyst role focuses on leading analytics development, supporting data literacy, and driving tool adoption for strategic decision-making.

The Senior Analyst will manage system reporting and support corporate analytics, improve processes, and enhance enterprise systems for the Global Corporate Services team.

The Manager, Fraud Analytics will analyze large datasets and build predictive models using machine learning techniques to enhance business decisions and improve customer experiences in fraud detection.

The Senior Data Scientist will optimize algorithms, apply data science techniques for supply chain and replenishment, and collaborate across teams to drive solutions.

The Investigation Analyst will analyze data to identify fraud trends, manage investigations, and communicate findings to enhance fraud detection strategies in Canadian healthcare.

As a Lead Data Scientist, you will apply expertise in AI and machine learning to design and build advanced analytics systems and collaborate with teams to implement solutions that drive business value.

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

The Data Engineer will design, develop, and automate data pipelines, support stakeholders with data-driven decisions, and troubleshoot technical issues within the loyalty data domain.