Top Data Analytics Jobs in Toronto

Lead development and maintenance of finance BI dashboards and analytical tools to deliver actionable insights. Partner with Finance and Data teams to prioritize DA&I projects, automate management reporting, support OneFinance consolidation, maintain enterprise data dictionary (Collibra), and drive process improvements and analytical capability development for decision makers.

Lead design and oversight of counterparty credit risk analytics (PFE, MTM, settlement, stress). Ensure model governance, data integrity, regulatory and stress testing deliverables. Provide trading desk insights, automate analytics with Python/SQL, manage CCR team, and partner with model development, validation, and infrastructure to improve exposures and controls.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

The Founding Account Executive will build and maintain a pipeline of mid-market or enterprise clients, managing deals end-to-end, leading proof-of-value motions, and defining sales strategies for growth.

The role involves optimizing marketing acquisition through advanced measurement frameworks, attribution strategies, web analytics, and collaboration with technical teams, focusing on data-driven decision-making for growth.

Oversee business development and account growth for strategic accounts, focusing on top pharmaceutical and medical device clients while exceeding revenue targets.

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

Lead analytics consulting engagements: translate business problems into end-to-end data science and ML solutions, present to executive stakeholders, manage projects and global teams, and operationalize analytic outputs with IT and data engineering.

Cygnus seeks Data Scientists and Analytics Developers committed to customer success, emphasizing ownership and a strong value system.

The Principal IP Consultant delivers expert IP law guidance to clients, manages client issues, and collaborates with product teams. Responsibilities include client education, tracking, problem-solving, and improvement of client engagement processes.

Lead executive-level data strategy and transformation engagements across infrastructure sectors. Shape offerings, win work, define data architecture and governance, oversee delivery of scalable, secure analytics and AI solutions, and build high-performing data teams while advising senior stakeholders and ensuring high-quality strategic roadmaps and analytics deliverables.

Design, build, and support data integrations between PeopleSoft/Oracle Fusion and legacy systems (Workday, Veradigm, Meperia). Map and convert legacy data, develop ETL with ODI/SSIS, use PS Query and PL/SQL for transformations, provide Level 2/3 integration support, troubleshoot issues, and collaborate with stakeholders.

As a Staff Analytics Engineer, you will design self-serve BI solutions, optimize analytical infrastructure, and collaborate with stakeholders to enhance data accessibility and decision-making.

Manage product teams to develop AI-driven data analytics for the medical devices sector, enhancing product strategies and achieving commercial goals.

Lead design and delivery of Workday reporting and analytics for AMS clients: build advanced/matrix/trending/composite reports, dashboards, Discovery Boards, Worksheets, and complex calculated fields; gather requirements, optimize reports, mentor junior consultants, and provide Workday best-practice guidance.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

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.

Perform hands-on product and player analytics across onboarding, retention, monetization, progression and LiveOps. Build and QA ETL pipelines in an AWS analytics stack, write cost- and performance-aware SQL, support A/B testing, and create reusable AI-enabled analytical workflows and notebooks to inform product, marketing, and LiveOps decisions.

Own end-to-end analytics modeling for a business domain: build and maintain dbt models and marts on Snowflake, develop the BI semantic layer, define consistent metrics, create self-serve data products, and partner with Finance, Sales, Marketing, CS, and Data Platform to translate business questions and ensure data quality.

Lead end-to-end customer experience analytics: translate business questions, build/validate datasets, perform root-cause and impact analyses, influence stakeholders, and track post-implementation results. Partner cross-functionally, manage multiple projects, and communicate insights to senior leaders.

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

The Senior Manager, Canadian Provisions and Analytics leads risk reporting and analytics initiatives, ensuring alignment with regulatory standards while fostering collaboration, performance, and strategic input within the team.

As a Software Engineer, you'll build scalable micro-services, work with large data sets, and optimize performance, focusing on distributed systems and real-time analytics.

Lead design and implementation of Sentry's Events Analytics Platform, improving search and storage performance at petabyte scale. Architect and automate scalable services, make trade-offs, review code, collaborate with Product and Engineering, and improve maintainability and developer experience.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.