Top Data Analytics Jobs in Toronto

Set architectural vision and implementation strategy while remaining hands-on across the full stack (.NET Core/C#, Angular). Design and develop scalable REST APIs, enforce architecture guidelines, mentor engineers, drive cross-team initiatives, own CI/CD and DevOps practices, and champion AI-assisted development and AI feature integration into the product in partnership with Product and Operations.

Drive net-new and expansion revenue for mid-market accounts using consultative sales. Own account management and churn, implement outbound programs, advise on performance creative workflows, coach SMB AEs, and ensure client satisfaction to grow adoption of Motion's AI-native platform.

Lead media investment and analytics across North American client accounts, managing paid social, search, programmatic, and CTV campaigns. Oversee execution, optimization, measurement, reporting, vendor and budget management, and coach a small team while building tools and processes to scale media performance.

As a Customer Engineer, you'll bridge technical problems and client needs in analytics and ML, designing data solutions and ensuring high-quality feature delivery.

The Associate Product Manager will work with analytics, ML, and product teams to develop features based on data insights, ensuring effective data management and customer outcomes.

Lead delivery of accurate AR reporting, dashboards and analytics; manage credit risk profiles; support month-end close, internal controls, audit requests; drive reporting automation and visualization; and manage a small finance team while partnering across Finance, Treasury and Operations.

Lead and execute strategic data analyses for banking platforms, develop models and visualizations, drive analytics initiatives, consult with business clients, manage system changes from requirements to implementation, coach junior staff, and ensure data quality, risk compliance, and alignment between business and IT.

The Senior Accountant will oversee financial reporting and accounting operations, ensuring compliance with US GAAP and ASC 606, managing tax compliance, and enhancing accounting processes.

As a Data Analyst at Lyft, you will collaborate with teams to analyze data, streamline processes, and provide actionable insights to improve performance in bikeshare and scooter markets.

Design, build, and productionalize enterprise analytics data assets from scratch. Collaborate with stakeholders to translate domain requirements into reliable, scalable data logic, implement monitoring/alerting, support external reporting, and enable handoff to data engineering for long-term ownership.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

Own and build Snowflake-based data platform and ELT pipelines from SaaS sources into Snowflake, using Snowpark Python workloads. Design schemas, enforce governance, implement data quality and monitoring, optimize performance and cost, and enable AI-ready datasets (embeddings, feature stores, Cortex functions). Partner with RevOps, Finance, CS, and Analytics Engineers to deliver reliable, production-grade data for reporting and AI workflows.

Lead and build shared AI infrastructure and production-grade agents for a product analytics team. Establish repo standards, evaluation tooling, governance compliance, monitor production agents, close data pipeline gaps, and drive adoption across ~35 analysts and 60+ products while interfacing with cross-team AI and data platform partners.

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.

Lead and grow a senior game analytics team, define studio-wide data strategy, and own telemetry, pipelines and tooling. Deliver player insights for engagement, retention, progression and monetisation across multiple titles, run experiments (A/B), and partner with design, production and UX. Evolve the tech stack (Snowflake, dbt, Sigma, GitHub), introduce AI/ML methods, and communicate data-driven recommendations to stakeholders.

Define enterprise AI strategy and architecture for LLMs, RAG, and predictive models; design secure, high-performance REST/GraphQL APIs and event-driven systems; establish AI/data governance; and lead cross-functional teams to productionize real-time AI applications.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

Support vehicle profitability analysis by developing automated COP/CMP-I models, dashboards, and forecasts using Power BI, Excel, and data techniques (regression, scenario modeling). Translate analytics into pricing and incentive insights, partner with IT to improve data quality, and drive process automation and forecasting for budgeting and strategic initiatives.

Lead instrument risk modelling for derivatives, hedge funds, liabilities and other securities. Build tools, validate models, collaborate with traders, finance and developers, and deliver risk reporting and advanced risk-management approaches.

Build, segment, and activate audiences in Salesforce Data Cloud and Marketing Cloud; support campaign QA and launch readiness; attribute leads by acquisition channel; monitor campaign performance and contribute to reporting and insights; coordinate between marketing, analytics, lifecycle marketing, technology, and finance to improve martech processes and execution.

Lead a small data engineering team to deliver trusted marketing data pipelines and integrations, define success metrics, ensure data quality, enable marketing platforms, and align data roadmap with business growth.

Lead media measurement and analytics for a major advertiser: design measurement frameworks, analyze online/offline campaign performance, deliver actionable insights, advise clients, drive optimization, mentor analysts, and implement advanced methodologies and tools to improve marketing effectiveness.

Lead analytics strategy for C2C M&A integrations, driving product analytics, experimentation, metric standards, AI-enabled prototypes, and cross-functional data solutions to improve seller outcomes and business performance.

Lead the buildout of a centralized marketing analytics function: consolidate multi-unit data, define KPIs and governance, develop pipelines and dashboards, improve attribution, create forecasting and testing frameworks, and deliver insights to optimize acquisition and marketing ROI.

Design and evolve systems for Motion's infrastructure, focusing on reliable and secure operations across APIs, Linux systems, and cloud environments with a focus on hands-on coding and engineering judgment.