Top Data Analytics Jobs in Toronto

The VP of Market Access & Value-Based Partnerships will lead the market access strategy, focusing on expanding value-based care, developing payment models, and managing stakeholder relationships.

Lead a team of data scientists and analytics developers to build data models and optimize data infrastructure for promotional campaigns. Collaborate with marketing and engineering teams to drive strategic decisions and improve data-driven approaches.

As a Senior Software Engineer at Ada, you will design scalable systems, mentor engineers, and develop analytics features while collaborating with product and design teams.

Seeking an Expert Project Manager for AWS to oversee complex projects, manage cross-functional teams, and drive digital transformation and cloud adoption.

As a Senior Data Engineer, you will design and operate data systems, mentor engineers, and optimize data pipelines using cloud technologies.

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 Process Analyst develops strategic plans through process mapping, analysis, and improvement, utilizing Lean Six Sigma principles to drive performance and efficiency.

The role involves driving process improvements, analytics, and transformation initiatives using data-driven approaches. Responsibilities include process mapping, root cause analysis, and supporting automation strategies.

The Software Engineer at Camunda will develop a next-generation analytics product, building backend APIs in Java and frontend dashboards in React, while focusing on performance and fault tolerance within distributed systems.

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

The Director will oversee Workforce Planning, Operations Analytics, and PMO, leading a team to achieve operational excellence through data-driven insights and optimization.

As an Analytics and Operations Manager, you will analyze large datasets, develop data models, optimize strategies, and support decision-making through data insights and collaboration with teams.

As a BI Engineer, you will transform data into actionable insights, develop data pipelines, enhance data usability, and support internal decision-making processes.

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.

The Consulting Manager will lead consulting initiatives for Visa's clients, focusing on financial performance, brand partnership, and innovative solutions. Responsibilities include developing impactful consulting frameworks, analyzing data for insights, and collaborating with internal teams to drive client growth and engagement.

The Senior Analyst, Growth Analytics (CRM) will own CRM analytics strategy, build measurement frameworks, analyze experiments, track performance, and present insights to leadership to optimize customer retention and lifetime value.

Lead a team of Senior Data Analysts to drive insights from data for enhancing partner performance and member engagement at Scene+. Oversee and execute analytics strategy, collaborate with stakeholders, and ensure data-driven decision making.

As the Lead, Product Analytics, you'll partner with product leadership to define KPIs, translate data into strategic insights, and lead analytics teams to enhance product and customer strategies.

The Head of Data and Analytics will create and manage a data strategy to support an integrated analytics function, ensuring data quality and accessibility while leading a team. This includes defining metrics, improving data governance, and delivering insights to executive leadership.

The Senior Data Scientist will develop advanced analytical models for supply chain optimization using Python, PySpark, and graph theory, collaborating with various teams to deliver insights and solutions.

The Senior Data Scientist will design and manage A/B tests and experiments, analyze results, develop models, and collaborate with teams to translate insights into actionable strategies.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

Lead the implementation of data quality frameworks and solutions. Collaborate with stakeholders to ensure data governance standards while managing large-scale data quality projects.

As a Senior Data Scientist at Discord, you will lead analytics to improve user experience through data insights, dashboard creation, and A/B testing.