Top Data Jobs in Toronto

The Data Analyst Intern will migrate dashboards from various platforms to Hex, perform data validation, conduct analyses for insights, and communicate findings across teams.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.

The Senior Data Platform Engineer at 1Password will design, build, and maintain data systems and streaming architectures, ensuring data quality and governance for real-time access.

Lead end-to-end client ML engagements: scope problems, design, build, and deploy production ML solutions across cloud and containerized stacks. Lead and mentor small teams, manage client relationships, evaluate emerging tools, and ensure models are production-ready and explainable to technical and non-technical stakeholders.

Design, build, and deploy ML models across diverse use cases; work with managed cloud ML platforms and containerized solutions; collaborate with engineers on production integration and MLOps best practices; preprocess and analyze large datasets; mentor teammates and influence technical direction; translate complex ML concepts for technical and non-technical stakeholders.

Lead the design and ownership of Jane's customer data infrastructure: event collection, pipelines, CDP tooling, schema governance, identity resolution, and attribution. Define instrumentation standards, ensure consent-compliant tracking in a healthcare context, evaluate/migrate CDP tooling, and collaborate cross-functionally with marketing, BI, product, and engineering.

As a Senior Data Scientist, you'll develop machine learning models and perform analyses to optimize customer engagement and marketing programs for retail operations.

The Senior Data Analyst leads analytical projects, collaborates with stakeholders, designs reporting solutions, and mentors junior analysts, focusing on data-informed strategies and decision-making.

As a Data Analyst Consultant, you will support analytics initiatives, collaborate with teams, build dashboards, and communicate insights effectively.

As a Data Engineer, you will develop and implement data platforms and workflows, ensure data quality, and collaborate with product managers and data scientists to meet business requirements.

The Senior Software Developer will design and build scalable APIs and distributed systems, improve operational efficiency, and mentor other engineers, focusing on automation and data infrastructure.

The Senior Data Developer will enhance the scheduling system, building pipelines for ML models, ensuring reliability, and facilitating improvements for operational decision-making.

Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

Design and build operational data systems, including pipelines, storage layers, and APIs for near real-time enforcement and insights, balancing streaming and batch paradigms.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

Own Zip's account universe, territory carving methodology, and enrichment strategy. Manage data quality across Salesforce, run annual data refreshes with vendors, build GTM analytics, automate workflows with AI, and partner with sales and Business Systems to execute territory and routing changes.

Lead design and delivery of end-to-end data solutions for capital markets: perform data profiling, gap and impact analysis, define data models, mappings, lineage, and quality controls; evaluate architectures; collaborate with engineering and stakeholders to implement scalable production data platforms for trade, position, and lifecycle data.

The Senior Data Scientist will develop machine learning models, provide insights for retail strategies, and enhance customer engagement through advanced analytics.

The Data Engineer will analyze and interpret data to drive insights, create dashboards, and enhance product performance, collaborating with cross-functional teams.

As a Data Analyst, you will analyze user behavior and product performance, creating reports and dashboards to aid decision-making and optimize user experience.

The Manager, Technical Implementation will lead a team to configure and optimize ODAIA's AI platform for customers, ensuring seamless onboarding and integration while collaborating on technical requirements and managing data workflows.

Lead and support analytics lifecycle activities: manage analytic data platforms, govern data access, design and implement reporting/BI, apply advanced quantitative modeling, deliver actionable business insights, contribute to policies, work independently on complex projects and mentor junior colleagues.