Top Data Analytics Jobs in Toronto

Lead global sales reporting and analytics: build and maintain forecasts, dashboards, KPI tracking, variance and funnel analysis. Manage Power BI and Salesforce reporting projects, ensure data governance and quality, perform pricing/market/competition analysis, support territory and quota setting, deliver executive reporting, and manage a small global reporting team.

Lead development of reliable data pipelines and proprietary analytics for overlay management. Apply quantitative modelling and programming to produce production-ready analytical products, collaborate with investment, data and technology teams, and own the product development lifecycle to support portfolio managers' decision-making.

As the Lead Specialist, you will cultivate client relationships, manage complex intelligence projects, design synthetic environments, and guide operational improvements for mission-driven organizations.

As a Forward Deployed Engineer, you will deploy and support software in secure client environments, troubleshoot complex issues, and ensure effective integration with existing systems. Responsibilities include installation, configuration, client engagement, and refining delivery practices.

As a Simulation Support Specialist, you'll build military simulation scenarios for EASE, translating objectives into setups, engaging with clients, and ensuring outputs reflect real-world operations.

Lead presales engagements to design enterprise data platforms and governance on Microsoft Fabric and Azure Databricks. Conduct discovery workshops, architect governance with Purview/Unity Catalog, define AI-readiness and Copilot access, author proposals/RFP responses, run POCs/demos, and partner with sales and delivery teams to size and transition engagements to managed services.

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

Design, build, and maintain scalable data systems and ETLs on GCP; connect production data to business systems; generate analytics and ML-driven insights for GTM teams; work cross-functionally and introduce modern tools (Airflow, DBT, Presto, Hightouch).

Lead analytics strategy, governance, and reporting to create trusted metrics. Drive insights across churn, retention, product telemetry, and marketing. Build analytical models, oversee Looker BI, partner with Data Engineering, establish data quality and AI-readiness, and hire and grow the analytics team to influence leadership decisions and business outcomes.

Senior individual-contributor analytics role partnering with Sales and Partnerships to drive acquisition decisions. Lead funnel and channel analyses, experimentation, forecasting, impact evaluation, KPI governance, and scalable analytics. Translate ambiguous business questions into actionable recommendations, mentor analysts, build dashboards and decision tools, and collaborate with BI, Data Science, and cross-functional stakeholders to improve acquisition quality and efficiency.

Lead and grow a Sales & Marketing analytics team to build measurement infrastructure linking acquisition investment to subscription revenue. Own advanced marketing measurement (MMM, MTA, incrementality, experimentation), funnel and sales analytics, dashboards, and decision-support tools. Partner with cross-functional stakeholders and data teams to improve CAC, LTV, payback, and go-to-market ROI while advancing AI-enabled, self-serve analytics and automation to scale trusted, executive-ready insights.

Lead and build strategic finance modelling and analytics focused on pricing and monetization. Develop AI/ML-augmented financial models, scenario analysis, executive reporting, and decision-support tools; partner with FP&A, Sales Ops, and GTM leaders to measure and optimize revenue, margin, and monetization outcomes.

The Executive IC, Design will directly influence Motion's aesthetic across various platforms by producing high-quality designs and utilizing AI tools, while setting the craft standard for the team.

The role involves owning and shipping a significant product surface at Motion, leveraging AI in engineering workflows, and raising team quality by example.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, BI/semantic models, and integration strategies. Provide delivery oversight, mentor teams, conduct architecture reviews, and support pre-sales and thought leadership to drive measurable business outcomes.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

Lead design and delivery of analytics, dashboards, and data models for Compensation and Benefits. Partner with Total Rewards, HR, Finance, and Technology to provide actionable insights, drive pay equity and regulatory reporting, and implement automation, data governance, and predictive analytics to improve program effectiveness and decision-making.

Lead implementation of enterprise web and app measurement solutions, translating business needs into technical guides, performing QA, auditing analytics deployments, training stakeholders, and recommending scalable, maintainable analytics and tag management practices.

The Senior Analyst, Growth Analytics (CRM) will own CRM analytics strategy, build measurement frameworks, analyze experiments, track performance, and present insights to leadership to optimize customer retention and lifetime value.

The analyst will identify opportunities in Lyft's top regions, influencing strategies and improving marketplace performance through data analysis and collaboration with teams.

As a Senior Analytics Developer in People Analytics, you'll design data pipelines, create employee records, and ensure data governance while collaborating with HR and Finance.

Lead marketing measurement and analytics for B2B clients: define measurement frameworks, translate data into executive narratives, establish KPIs and reporting standards, validate tracking, guide optimization, run performance readouts, and manage analytics talent across client engagements.

Lead development and refactor optimization algorithms in Python for pricing and supply‑chain problems. Design and implement predictive models and mathematical optimization solutions, collaborate with cross‑functional teams, coach data scientists, and translate business requirements into data‑driven pricing and replenishment strategies.