Top Data Analytics Jobs in Toronto

As a Client Partner at Carta, you'll improve client experiences through strategic finance expertise, enhance operations, and manage executive relationships in private markets.

The Senior Specialist II is responsible for managing incentive plans, ensuring compliance, developing reports, and coordinating with various teams to analyze and monitor business performance.

This internship involves analyzing large datasets, creating dashboards, applying statistical techniques, and collaborating with teams to drive data-informed business decisions.

The Analytics Engineer will create Tableau dashboards, drive analytics projects, collaborate with data teams, and support data visualization and insights. Requires 3+ years in analytics and proficiency in SQL, Excel, and Tableau, among other technologies.

Analyze data trends and support improvement changes. Responsibilities include data audits, problem-solving, stakeholder management, and creating complex reports.

The Commercial Account Executive will drive new business, manage enterprise accounts, and strategize pipeline generation, leveraging technical sales expertise in AI solutions.

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.

The Director of Audience Strategy leads client engagement and oversees audience development, focusing on segment creation, data partnerships, and performance measurement to drive client growth.

The HR Analytics and Reporting Analyst provides HR reporting and analytics, develops dashboards, conducts data analysis, and assists with compliance and improvements in HR metrics using Workday and data visualization tools.

The role involves leading AI and analytics projects, mentoring teams, and collaborating to design data-driven solutions that enhance business decision-making.

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

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

The HR Data & Analytics Analyst creates reports and insights to enhance decision-making and improve HR programs through data analysis and visualization.

As an Analytics Engineer, you will improve data access through modeling and stakeholder enablement, focusing on reliable data and semantic layer design.

The Support Operations Data Analyst will analyze support processes, improve efficiencies, prepare data insights, and create executive presentations to enhance customer satisfaction.

The Senior Data Scientist will optimize supply chain strategies using advanced statistical techniques, develop predictive models, and collaborate with teams to innovate data-driven solutions.

The Product Analytics Lead will build the analytics function from the ground up, analyzing data for product decisions, collaboration with cross-functional teams, and measuring impacts on portfolio companies.

The Product Analyst will analyze product and customer data, define success metrics, build dashboards, and support data-driven decision-making across teams.

The Senior Product Manager drives product strategy, manages product life cycle, and collaborates across teams to enhance educational analytics solutions for diverse markets.

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 Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Senior Analytics Engineer will manage financial data infrastructure, develop data pipelines, models, and reporting systems, ensuring data quality and alignment with financial principles.

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