Top Data Jobs in Toronto

The Data Governance Domain Manager will implement and manage data governance frameworks, ensuring data quality, compliance, and security across various domains in the organization.

The role involves defining, calculating, and displaying blockchain metrics via a dashboard, ensuring data quality and collaborating with teams for insights.

As a Senior Data Analyst at Chainlink Labs, you will analyze economic models, design systems, and influence data-driven decisions for blockchain economic projects.

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, enabling data access across departments and designing data pipelines to handle massive data ingestion and ensure compliance with data regulations. You will mentor less experienced team members and optimize pipeline performance.

The Data & Insights Manager will work alongside various brand teams to generate data-driven insights for brand strategies. Responsibilities include developing dashboards in Power BI, forecasting, collaborating on sales force effectiveness, and communicating insights for strategic decisions.

In this role, you will collaborate with business leaders to develop data models that uncover trends, support analytics initiatives, and automate data processes. You will analyze sales data, create visualizations, and contribute to the development of analytics strategies to enhance business performance.

As a Data Engineer at BuildOps, you will design and maintain data pipelines, focusing on data processing, automation, and machine learning enhancement. Collaboration with various teams to resolve technical data challenges is key, as is the continuous improvement of data workflows and ETL infrastructure.

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

The role involves developing predictive models, enhancing account identification, collaborating with marketing and sales teams, and driving data-driven insights for strategic decisions.

The role involves assessing data capabilities, defining data management strategies, performing complex data analyses, and ensuring data quality through profiling and stakeholder engagement.

The Staff Data Engineer will build and maintain large-scale data pipelines, define data models, and establish data quality and governance frameworks, collaborating with business units and engineering teams.

The Data Analyst role involves providing data insights to improve customer satisfaction and operational efficiency, leading analysis, and supporting decision-making across the organization.

The Data Analyst will lead strategic data insights, manage analytics projects, develop automation solutions, and support data-informed decision making across the organization.

The Head of Risk Analytics and Data Science at Block will lead a team, develop strategies for risk management, and collaborate with senior leaders on risk and fraud programs.

Lead AI and Data Engineering projects, develop AI models, oversee data solutions and collaborate with teams to improve patient outcomes.

As Senior Director of Data Science, you will lead new initiatives at Dropbox, guiding a team of data scientists to leverage data-driven insights to influence business decisions, enhance product engagement, and drive growth. You will establish a strong culture of technical ownership and collaboration across various functions like Product and Engineering.

The Senior Data Scientist at Cash App will analyze large datasets, develop actionable insights, and collaborate with product teams to enhance user experience. Responsibilities include statistical modeling, A/B testing, and data visualization, while working with engineers to integrate new data sources to inform strategic decisions.