Top Data Analytics Jobs in Toronto

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

The Product Analyst will oversee product analytics, collaborate with teams, define metrics, build dashboards, and improve data quality in a hybrid work environment.

As a Senior Analyst, you'll analyze data, create forecasts, improve operational efficiency, and lead analytical initiatives to enhance Agoda's supply ecosystem.

The Business Development Associate will engage customers, develop sales strategies, manage portfolios, meet sales targets, and collaborate across teams to drive revenue.

The AI Enablement Specialist supports AI tool adoption by providing training, developing prototypes, and facilitating change management across the organization.

Lead enterprise first-party fraud analytics: build detection rules, predictive models, alerts and dashboards; evaluate score effectiveness; partner with risk, tech, and operations to reduce fraud while preserving customer experience.

Lead enterprise-first party fraud analytics strategy using advanced analytics, machine learning, rules, and behavioral insights to detect, measure, and mitigate first‑party fraud across lending products. Build models, rules, monitoring, and early‑warning systems; perform link analysis and data mining; partner with Risk, Technology, and Operations; manage and grow an analytics team and influence enterprise fraud strategy.

Lead People Analytics to translate workforce data into executive-ready insights, improve data governance and automation, manage analytics delivery, and partner with HR stakeholders to advance analytics maturity, reporting, dashboards, and master data practices.

Lead a portfolio analytics team to apply advanced analytics, machine learning, and big-data solutions for client-level optimization, model governance, performance monitoring, reporting, and business strategy across products, campaigns, pricing, and profitability. Collaborate with stakeholders to move models from experiment to production and deliver actionable insights and BI reports.

Own end-to-end marketing analytics: source and prepare data, build analyses and reports on clients, segments, products, channels, and campaign performance. Produce visualizations and storytelling to surface actionable insights, advise marketing stakeholders and business partners, and drive optimization, growth, engagement, and retention using SQL/Python and Databricks.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.

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 technical strategy and hands-on implementation for Faire's data platform. Architect and scale ETL/ELT, streaming and batch pipelines, data warehousing, orchestration, monitoring, cost optimization, security, and governance. Mentor teams, prioritize platform roadmaps, and partner with product, analytics, and data science to enable self-serve data capabilities across the company.

Serve as a strategic, client-facing People Analytics consultant: translate business priorities into analytics opportunities, deliver and orchestrate analytics solutions, enable self-service dashboards, embed insights through storytelling and change management, upskill stakeholders, prioritize demand, and refine the People Analytics operating model.

Lead strategy and execution for enterprise Data Analytics, Big Data and governance technology. Drive platform modernization, integrate analytics tools, manage budgets, vendor sourcing, risk/compliance, and lead a multi-disciplinary delivery team while partnering with business and technology leaders.

Lead analytics-driven growth for Wealth Management by developing targeting, measurement, and campaign frameworks. Translate data and AI-enabled insights into scalable programs, optimize journeys and channels, and partner with cross-functional leaders. Build and lead a team, ensure data governance, enable self-serve reporting, and present performance to senior leadership to drive revenue and continuous improvement.

Lead analytics-driven client acquisition, lifecycle and campaign optimization for wealth management. Translate data and market insights into targeting, measurement, and AI-enabled recommendations. Build tracking frameworks, dashboards, and closed-loop learning to optimize leads, journeys, and channel performance. Partner cross-functionally to design and execute lead programs, run test-and-learn initiatives, and support stakeholder adoption of analytics and self-serve tools.

As a Lead Data Analyst for Marketing Analytics, you will develop measurement frameworks for SEO and LLM, create insights across the organic marketing funnel, analyze customer journeys using SQL and Python, and present findings to leadership to optimize growth strategies.

Lead strategic customer analytics across acquisition, onboarding, engagement, retention, monetization, and expansion. Translate business questions into analytical plans, run experiments and advanced analyses, build dashboards and decision tools, partner with data science and BI, mentor analysts, and deliver executive-ready insights to drive growth, efficiency, and long-term customer value.

Deliver analytics, dashboards, and experimentation support for Contact Center operations and Marketing Science. Build Power BI dashboards, perform root-cause and transcript analysis, support Care Pod initiatives and A/B experiments, partner with stakeholders and data science teams to produce actionable insights and production-grade analytics solutions.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

As a Senior Analytics Engineer, you will build a modeling layer in dbt and Looker, mentor others, and ensure actionable insights are delivered, while migrating from legacy data systems to a modern stack.

Build statistical and predictive models to measure and optimize marketing, sales, and customer success impact on pipeline, bookings, ARR, retention, and expansion. Analyze paid media performance and conversion funnels, design experiments and causal measurement, forecast revenue, partner with cross-functional teams to define metrics, and communicate data-driven recommendations to senior leadership while improving measurement methodologies and data quality.

This role involves using data analysis to support marketing strategy, measuring campaign impact, and developing insights to inform marketing decisions.