Top Data Analytics Jobs in Toronto

The Vice President Enterprise Data & Analytics leads the data strategy, oversees data governance, and drives advanced analytics capabilities, enhancing business intelligence and operational excellence.

The Senior Product Manager will lead product strategy and execution, collaborating with cross-functional teams to enhance life sciences analytics products and meet customer needs.

The Sales Associate will develop business by engaging clients, providing digital marketing solutions, managing relationships, and exceeding sales targets.

As Revenue Operations Manager, you will enhance revenue generation through analytics, process design, and AI integration within the Travel Commercial organization.

The Account Executive at CoStar is responsible for selling new business, managing client portfolios, and driving growth through the entire sales process in the commercial real estate sector.

Lead financial reporting, forecasting and data analysis for project portfolios and fleet operations. Build models, tools and processes to measure project benefits, present insights to stakeholders, support process improvements, and collaborate with FP&A and cross-functional teams to optimize performance and reporting.

The role involves leading data engineering projects, building scalable data models, optimizing workflows, and ensuring data quality while collaborating with cross-functional teams.

The Principal Product Manager for Billing defines product strategy and roadmap, ensuring efficient billing capabilities and compliance while collaborating with cross-functional teams to deliver scalable solutions.

The Senior Manager, People Tech & Analytics will oversee the People technology and analytics portfolio, focusing on infrastructure for hiring, compensation, payroll, and automation, while improving workflows and analytics for better decision-making.

Lead enterprise people analytics strategy and people technology, build a small high-performing team, deliver predictive and prescriptive workforce insights, ensure data governance/security, integrate people data with finance and performance, and partner with senior leaders and Technology to embed data-driven decision-making across the organization.

Lead delivery of data and analytics initiatives, manage Oracle ERP projects, and implement AI for SDLC improvements while ensuring strong governance and stakeholder management.

Lead development, evaluation and communication of retail, wholesale and operational risk models, policies and processes. Oversee scorecards, portfolio performance monitoring, reporting, audits, and cross-functional projects. Manage and coach a risk analytics team to meet deliverables and drive compliance improvements.

The Business Development Manager will drive growth by building relationships with potential clients, managing leads, presenting proposals, and collaborating on outreach strategies.

Lead global product analytics across multiple teams: define KPIs, build dashboards and recurring reporting, improve data foundations and governance, evaluate features and experiments, deliver executive-ready insights and recommendations, and mentor junior analysts.

As a Senior Business Analyst, you will oversee data migration to Microsoft Fabric, ensuring functional requirements, ETL mappings, and user acceptance testing align with enterprise needs.

Drive net-new mid-market pipeline via outbound: segment CRM cohorts, execute targeted outreach (email, LinkedIn, calls), use AI tools to personalize creative, qualify to SAL criteria, book meetings, and feed conversion insights back to sharpen targeting and messaging.

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.

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 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.

Provide analytics support to business lines and finance through data analysis, automated workflows, BI reporting, advanced analytics and generative AI. Engage stakeholders, present findings to senior leaders, improve processes, and implement cloud-based data solutions.

Lead and grow an engineering team building Sentry's Events Analytics Platform. Set technical direction, drive architecture and core features for large-scale analytical querying, ensure stability and scalability for AI workloads, run incident response and postmortems, and collaborate cross-functionally to unify event data and enable complex, high-performance queries.

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.

Lead a collections-focused analytics team to deliver advanced modeling, reporting, and actionable insights. Design dashboards and reporting frameworks, partner with collections leadership, IT, BI, and Risk to ensure data integrity and governance, and drive strategies to optimize collections performance and reduce losses.

The Performance Analytics Consultant will analyze health-related data, support reporting, develop dashboards, and assist in decision-making to improve operational efficiency and patient care quality.

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