Top Data Analytics Jobs in Toronto

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 Account Executive is responsible for selling CoStar products, managing client portfolios, and developing relationships within the commercial real estate sector.

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 Growth Marketing Manager will develop GTM strategies, collaborate across teams, analyze marketing data, and measure campaign effectiveness to drive business growth and improve marketing efficiency.

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 Senior Analytics Engineer will design and implement data transformation pipelines, collaborate with various teams, and mentor junior members to optimize data models and pipelines for business needs.

Manage and grow the Data and Analytics business, deliver assessments, collaborate with technical teams, and develop strategies to drive client solutions.

As a Senior Customer Success Manager, you'll drive customer engagement and adoption, provide product enablement, act as a subject matter expert, and ensure customers achieve their goals. You'll work with various stakeholders and contribute to knowledge management initiatives.

The Marketing Analytics Lead analyzes data to influence marketing strategy, measures campaign impact, and supports Product Marketing with insights and reporting.

As an AI Scientist, you'll leverage your AI and ML expertise to build innovative solutions that solve business problems, collaborating across teams and mentoring junior members.

Electra Vehicles is looking for candidates for various roles to help improve electric vehicle battery performance using AI software.

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

The Senior Software Engineer will develop and manage data and analytics projects, ensuring data integrity and system performance while mentoring team members.

As a Senior Data Engineer, you'll develop and deliver technical projects, manage data pipelines and infrastructure, and mentor team members at Faire.

As a Strategic Digital Marketing Consultant, you will help automotive clients drive growth through tailored digital marketing strategies and sell a consultative suite of services.

As a Data Engineer, you'll build and maintain data pipelines, monitor data quality, and facilitate data access for analytics while mentoring junior engineers and supporting business needs.

Lead data-driven solutions in analytics for clients, optimizing performance across digital channels, managing data delivery processes, and mentoring junior staff.

The Marketing Analytics Manager will oversee Relay's marketing tracking infrastructure, reporting and dashboard development, and provide data insights for decision-making while collaborating cross-functionally.

The Director of Data & Analytics will define and execute the data strategy, lead a team, and collaborate across departments to ensure data is a strategic advantage for the company.

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

Define product vision and roadmap for data and analytics services, manage product lifecycles, engage stakeholders, and drive product innovation.

Analyze and improve business processes by performing data analysis, creating process maps, and supporting data-driven decision making. Must communicate insights effectively and apply Lean Six Sigma principles.

The Lead Product Manager will drive product strategy and roadmap execution, focusing on Life Sciences. Responsibilities include making product decisions, advocating for customer needs, and managing complex product lines to create business impact.