Top Data Analytics Jobs in Toronto

The Marketing Manager will lead B2B marketing initiatives in Vietnam's iGaming market, developing strategies, managing campaigns, conducting research, and overseeing brand identity.

The Product Marketing Manager will create compelling narratives for cybersecurity products, develop sales content, and foster cross-team collaboration to enhance product adoption.

Lead the Veozah Brand Analytics team, providing strategic business insights and recommendations to improve brand performance and support commercial objectives for priority products in the pharmaceutical sector.

The Manager Business Solutions & Analytics drives operational excellence through sales reporting, data management, analytics, and strategic recommendations to support commercial success.

The Senior Analyst will drive intelligent analytics solutions in finance operations, develop AI agents for data processes, and ensure high-quality data delivery.

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.

The Senior Analyst will apply statistical methods to risk management, conduct research, develop financial models, and improve financial decision-making processes.

Lead analytics and strategy initiatives for Lyft's autonomous vehicle market, developing strategies to drive growth and collaborating with cross-functional teams.

As a Senior Mobile Engineer, contribute to Arena Club's mobile app development using React Native, delivering features and enhancing user experiences.

Manage data analytics and innovation within Assurance and Advisory, leveraging AI and automation to improve audit processes and insights.

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 SAP Reporting Analytics Analyst role involves architecting data models, leading data migration projects, developing dashboards, and translating manufacturing challenges into data solutions.

The Analyst will contribute to a quantitative investment platform, partner with colleagues, and support CMF's investment management and research needs, while being mentored by senior team members.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Product Director at MZLA will build and scale product operations, drive data-informed practices, and enhance collaboration across teams while leading open-source product development.

The Senior Analyst will manage system reporting and configuration, support business analysis, and drive process improvement in Global Corporate Services.

The Senior Analyst will enhance marketing operations by managing Google Analytics, optimizing website tagging, analyzing data using Tableau, and collaborating with the team.

As an Implementation Consultant, you'll coordinate and lead implementation projects, manage client relationships, analyze data, and support software implementation for Ex Libris products.

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

The Growth Lead will define and execute Ramp's partner acquisition strategy, lead initiatives across marketing channels to achieve growth targets, and collaborate with cross-functional teams to optimize ROI.

The (Senior) Analytics Engineer will develop SQL transformations, design data models, and collaborate with cross-functional teams to support business analytics.

The role involves collaborating with teams to design and deploy ML models, develop scalable AI applications, and optimize performance using GCP and Vertex AI.

The Data Engineer will architect and implement advanced analytics capabilities while dealing with large datasets and building data processing pipelines.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.