Top Data Analytics Jobs in Toronto

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

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

The Director of AI Analytics will lead the analytics function, supporting various departments by transforming data into actionable insights and AI-enabled workflows, while ensuring data integrity and governance.

The Manager, Business Performance Analytics will oversee reporting for business management, analyze data trends, and improve reporting processes while collaborating with stakeholders.

The Senior Business Analytics Specialist translates technical subjects into actionable business insights, focuses on data integrity, and leads analytics initiatives in Asset Management.

The Vice President of Analytics will oversee data-driven decision-making for clients, manage analytics teams, and ensure high-quality deliverables while connecting social data to business outcomes.

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.

Lead a team of data scientists to develop machine learning models and advanced statistical solutions for merchandising and marketing. Foster talent development and establish modeling practices to support strategic business objectives.

Lead a data science team to develop machine learning models and advanced analytics for customer engagement, pricing, and loyalty programs, while collaborating across business units to drive insights and improvements.

The Senior Lead, People Analytics will spearhead data initiatives to influence talent strategies, using analytics to inform executive decisions and improve employee experiences.

Lead workflow automation and business transformation initiatives leveraging AI across Operations and Finance. Manage stakeholder relationships, map business processes, and implement AI-driven solutions.

The Associate Manager will bridge advanced analytics and business decisions, transforming analytical outputs into insights, narratives, and recommendations for eCommerce and omnichannel partners. Responsibilities include leading reporting, identifying trends, and influencing business strategies by crafting compelling stories from data.

Lead budgeting, forecasting, and long-range planning; produce executive-ready financial reports and dashboards; analyze KPIs and drivers; improve forecasting accuracy and automation; maintain data governance; perform ad hoc financial modeling and support strategic projects.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

The Account Executive will develop and implement sales strategies, manage relationships with vendors, and drive growth through effective prospecting and client engagement.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.

Manage large-scale data analytics engagements, collaborate with technology teams, and present solutions to stakeholders to drive business value.

The Associate Director, Clinical Operations is responsible for developing analytical systems, managing data analytics projects, and collaborating with stakeholders to enhance financial forecasting and operational efficiency in clinical studies.

The Associate Manager drives actionable insights from analytics for stakeholders by developing narratives and reports. This role integrates analytics into decision-making, emphasizing business outcomes and trends across eCommerce and omnichannel channels.

The Summer 2026 Internship at Level Agency involves real project work in various tracks like Media, Creative, and SEO, emphasizing accountability and growth. Interns receive mentorship while contributing to team priorities.

As a Senior Data Engineer, you will build a data platform, create data pipelines for market and trade data, and collaborate with traders and quants to enhance analytical workflows.

The Senior Customer Analytics Manager will lead analytical efforts to influence business decisions, focusing on customer behavior and performance across various domains, partnering with teams to drive insights and improvements throughout the customer journey.

As a Data Analytics/ Data Engineer New Grad, you'll work directly with clients to implement analytics solutions, design data models, create complex queries, and develop scalable data management architectures while ensuring project deadlines and quality standards are met.

The Associate Consultant will provide analytical support for client projects in life sciences, assist in developing proposals, conduct quantitative analyses, and communicate findings to stakeholders, while working collaboratively in a team environment.

The role involves engaging with client teams to gather and analyze requirements, managing projects, acting as a point of contact, and collaborating with offshore teams to deliver analytical solutions.