Top Data Analytics Jobs in Toronto

Lead and mentor a team of six data analysts, collaborate with UA, Game, Ads, and Finance teams, balance people management with hands-on SQL/Python analysis, build dashboards in cloud environments (AWS), connect engineering/ML teams with business stakeholders, and help shape analytics strategy and business unit planning while exploring AI automation opportunities.

Consult with clients to design, build, and implement AI and machine learning solutions. Perform exploratory data analysis, feature engineering, model development and evaluation, data pipeline and visualization development, and contribute to documentation, testing, and cross-functional delivery for generative AI and analytics projects.

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.

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.

Support portfolio construction, asset allocation, and tactical investment analysis for insurance and surplus portfolios. Produce executive-ready analytics and reporting, evaluate risk/return trade-offs, contribute to affiliate and alternative asset strategy, and drive process automation. Partner with investment, ALM, finance, risk, and treasury teams to inform strategy, forecasting, and governance.

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.

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 design, development, and deployment of GenAI and NLP solutions (RAG, LLM-powered apps, agentic AI, Document Intelligence). Work with clients to translate business needs, build end-to-end ML pipelines, mentor teams, present results to stakeholders, and operationalize scalable, governed AI systems.

Design and deliver data analytics and AI solutions for Capital Markets. Apply statistical and machine learning models, build AI agents and dashboards, produce insights for senior management, and collaborate with data engineers and business teams to ensure governance and integration.

The Channel Marketing Specialist will drive marketing strategies for Canada, collaborating with various teams to execute integrated marketing initiatives and optimize performance data while managing multiple projects.

The GTM Lead for Insurance will build and manage enterprise insurance accounts, develop relationships with senior industry leaders, and shape sales strategies for AI solutions.

The Principal Product Manager will define product vision, roadmap, and strategy, ensuring operational excellence while delivering exceptional customer experience and measurable outcomes through cross-functional collaboration.

The Account Manager, Analytics at Verisk Canada is responsible for managing customer success, onboarding, training, and ensuring client satisfaction across diverse portfolios.

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.

The Director of FinTech & Risk Analytics will lead analytics for Jobber's financial services, focusing on risk management and AI-powered strategies, while managing a team of analysts.

Lead end-to-end design, governance, administration, and analytics for annual incentive plans, equity compensation, and carried interest. Build forecasting and modeling infrastructure, manage plan lifecycle and systems implementation, produce executive- and board-level analyses, and partner with Finance, Legal, Tax, HR and vendors to ensure compliant, scalable programs that drive long-term firm performance and retention.

Design, implement, and maintain analytics data pipelines and warehouse models using SQL, Python, dbt, Airflow, and AWS. Support data governance, PII handling, CI/CD, and data quality. Collaborate with engineering, analytics, and business teams, participate in code reviews, and improve data engineering practices across the organization.

Lead and scale Scribd's Data & Analytics organization across Product Analytics, Data Science, and Analytics Engineering. Build operating model, data governance, experimentation frameworks, AI-native workflows, and infrastructure to accelerate insight delivery. Develop director-level leaders, recruit talent, and embed data-driven decision-making at the executive level to drive growth, retention, and portfolio-wide strategy.

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.

The Key Account Manager will strengthen relationships with enterprise clients, drive growth through tailored solutions, and ensure client satisfaction. Responsibilities include account management, contract renewals, strategic planning, and customer retention initiatives, along with analyzing performance data and collaborating with internal teams.

The Data Scientist will design and maintain predictive models for customer growth, collaborating with various teams to ensure actionable insights and model performance.

The Senior Data Analytics Engineer designs and builds scalable data platforms, maintains ETL pipelines, optimizes SQL Server environments, and develops reporting dashboards to support data-driven decision-making.

The Senior Strategy and Analytics Specialist will advise leadership, manage analytics, conduct data analysis, and support strategic initiatives to drive growth and operational excellence.

The Client Lead manages a major sports client, ensuring projects run smoothly, communicating with stakeholders, and identifying growth opportunities.

The Principal Technical Product Manager will lead cross-functional teams in product strategy, feature development, and lifecycle management for a new unannounced AAA mobile game, using data analysis to guide decisions.