Top Data Analytics Jobs in Toronto

The Data Analytics Manager will lead a team in analyzing ad inventory and performance metrics, developing insights to inform strategy, and enhancing data infrastructure.

The Staff Data Analyst partners with teams across Marketing, Sales, and Customer Success to optimize resource deployment, analyze performance, and drive actionable insights supporting revenue goals.

The Staff Product Marketing Manager will create Go-To-Market strategies, manage product launches, partner with teams to shape marketing programs, and ensure effective customer engagement.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

Support data-driven projects by analyzing data for insights, preparing reports and dashboards, and facilitating communication across teams during the internship.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

The Manager of RESL Analytics develops risk decision-support strategies, oversees credit risk, provides consulting, and collaborates with stakeholders on compliance and governance.

Lead design and delivery of analytics dashboards and visualizations, translate business needs into technical specifications, scale repeatable analytics solutions, provide insights and training, manage and develop a team, and partner with stakeholders to drive data-driven decisions.

Lead data science projects using Visa's datasets, developing models and ML pipelines to provide actionable insights, mentoring junior team members, and engaging with clients to solve data-driven challenges.

The Data Scientist will develop predictive models and AI systems to enhance customer experiences and optimize business outcomes using Visa's data.

The Data Scientist II will analyze customer behavior across digital channels, providing insights and recommendations to improve customer experience and engagement. Responsibilities include data extraction, analysis, and creating visualizations while collaborating with various teams.

The Product Owner will lead AI-driven analytics product development for US Gross-to-Net functions, aligning with multiple teams to enhance performance and drive data transformation.

Design and maintain dbt data models and end-to-end pipelines, write complex SQL and macros, ensure data quality, build BI dashboards, and collaborate with analysts to maintain consistent metrics.

Design, build, and operationalize a scalable engineering analytics platform: pipelines, integrations, semantic layer, and BI dashboards. Define and enforce engineering KPIs (DORA, delivery health, quality), ensure data quality/governance, and deliver insights to engineering leadership to drive operational improvements.

As an Engagement Manager, lead BI projects, guide teams to transform data into actionable insights, and develop BI strategies ensuring data integrity and quality.

The Senior Manager of Portfolio Analytics transforms data into insights, monitors performance for unsecured lending products, and collaborates across teams to optimize acquisition performance and improve data processes.

This role involves designing and implementing data systems for clinical operations, using analytics to optimize study designs and forecast costs while collaborating with stakeholders and ensuring data governance.

The Associate will manage global sales processes, develop performance analytics, and support client-related administrative tasks while ensuring compliance and operational efficiency.

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

Lead analyses of claims frequency and severity, quantify impacts of industry changes, support claims operations with cost-benefit and KPI monitoring, communicate data-driven insights (leveraging GenAI), improve data pipelines and visualization, and coach/prioritize team work.

Lead end-to-end product development for fundraising SaaS features: define requirements and roadmaps, collaborate with engineering, marketing, and sales, conduct market and customer research, set product positioning and KPIs, and drive launches and continuous improvement to meet business goals.

The role involves managing analytics platforms, providing technical guidance, collaborating with teams, executing capacity planning, and supporting cloud initiatives.

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.

The Sr. Analyst performs hands-on data analysis, collaborates on data requirements, and communicates insights to support business decisions for digital marketing channels.

The Associate Director will oversee data strategy and analytics, manage client relationships, and lead a team of analysts to drive data-driven marketing solutions and insights for clients, particularly in retail and digital media.