Top Data Analytics Jobs in Toronto

Senior marketing technology leader who architects multi-platform MarTech solutions (Adobe and non-Adobe), advises clients, leads pre-sales and delivery, drives data-driven orchestration across CDP, CRM, analytics, personalization, ensures governance and security, and mentors teams while remaining billable.

Leads the Canadian Retail Customer Insights and Analytics team, converting customer, market, and behavioral data into strategic insights. Responsibilities include team leadership, customer segmentation, behavioral and journey analytics, predictive modeling, risk early-warning frameworks, research programs, executive dashboards, KPI development, and presenting recommendations to senior leadership. The role partners cross-functionally across product, marketing, sales, risk, finance, strategy, and technology to improve customer acquisition, retention, profitability, and experience.

Analyzes market, retail, point-of-sale, and consumer data to identify growth opportunities for a global toy portfolio. Translates complex analytics into actionable recommendations for product, brand, sales, and marketing leaders. Partners with cross-functional teams, data engineers, and product managers to answer business questions, define internal data product requirements, and develop dashboards. Presents insights clearly to technical and non-technical stakeholders.

Cygnus is seeking IT professionals for various roles including development, analysis, project management, and engineering to support their IT Solutions Division.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Leads Agile delivery across multiple teams or complex value streams, facilitating Scrum ceremonies, coaching teams, resolving impediments, managing dependencies and risks, and aligning stakeholders. The role oversees backlog and sprint goals, delivery metrics, release and change management, governance, reporting, and continuous improvement. Experience with analytics programs, cloud platforms, and tools such as Azure DevOps, Jira, Confluence, and Miro is valuable.

The role involves building AI-powered analytics tools, proactive intelligence systems, and automating decision processes based on data-driven insights to drive business impact at Opendoor.

Leads analytics and revenue strategy for global restaurant sales, services, and marketing teams. Builds dashboards, financial models, forecasts, and reporting tools; ensures data quality and metric alignment; identifies trends and opportunities; presents insights to executives; and improves Salesforce, workflows, revenue operations, sales processes, and business performance.

Lead a GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. Manage embedded analysts, establish trusted reporting and QA processes, review SQL and dashboards, guide funnel, campaign, sales, support, forecasting, segmentation, attribution, and experimentation analysis, and deliver executive recommendations. Partner with GTM leaders and data engineers, coach analysts, and develop self-service analytics, automation, governed dashboards, metric documentation, and AI-assisted workflows.

Leads paid media strategy and client programs across SEM, social, programmatic, and selected offline channels. Oversees campaign planning, optimization, budgets, creative testing, staffing, and team development while serving as a senior client escalation point. Analyzes performance data, drives process improvements and AI-enabled methodologies, supports pitches and business growth, develops vendor relationships, and provides media thought leadership across the agency.

Lead strategy and design for digital products, services, and customer experiences. Conduct research, facilitate stakeholders, develop service design, journeys, wireframes, prototypes, and product roadmaps. Define KPIs and analytics strategies, leverage AI for research and experience opportunities, mentor colleagues, and build trusted client relationships to drive measurable business outcomes.

Leads AI and Generative AI engagements from discovery through production, serving as the client and technical delivery lead. Combines project management with hands-on architecture and development of LLM applications, RAG pipelines, AI agents, APIs, and cloud-based services. Coordinates cross-functional teams, manages risks and delivery milestones, translates business needs into technical solutions, and oversees evaluation, monitoring, deployment, and production readiness.

As Analytics Lead, you'll drive data-informed decision-making, lead measurement strategies, mentor teams, and oversee analytics infrastructure, impacting client strategies.

Supports revenue strategy through advanced analytics, financial modeling, forecasting, dashboards, reporting, and data-driven recommendations. Partners with sales, services, marketing, finance, product, Salesforce, and BI teams to optimize processes, systems, and performance. Manages ad hoc analysis requests, Salesforce data stewardship, KPI monitoring, and executive-level presentations while translating complex datasets into actionable business insights.

Owns a Canadian enterprise and public-sector territory, driving new business, account expansion, renewals, forecasting, and revenue growth. Advises CISOs, CIOs, and board executives on cybersecurity solutions, leads matrixed teams through workshops and pilots, and partners with channel organizations and system integrators. The role requires consultative enterprise selling, complex deal negotiation, strategic account planning, pipeline management, and strong cybersecurity and cloud fluency.

Lead integrated digital and traditional paid media strategy and execution, oversee cross-channel campaign planning (SEM, programmatic, paid social, display), manage and develop media teams, report on program health and performance, liaise with clients and leadership, handle escalations, optimize processes, recommend new methodologies, and manage vendor selection and budgets for enterprise campaigns.

Consults with enterprise retail customers to understand business needs, design and demonstrate SaaS solutions, develop future-state roadmaps, scope statements of work, and support implementation handoffs. Partners with sales, product, engineering, project teams, and customer success to drive adoption, reduce implementation risk, and demonstrate measurable business value. Requires strong presentation, discovery, solution architecture, retail systems, and customer advisory skills.

Own the strategy, roadmap, and delivery of RevenueCat’s analytics products, including charts, benchmarking, dashboards, and predictive LTV. Investigate complex data issues, develop metrics and benchmarks, define product vision, and collaborate with engineering, data science, design, leadership, and go-to-market teams. The role requires strong product management experience, analytical and technical fluency, customer empathy, data visualization expertise, and the ability to make independent product decisions in a remote environment.

Supports alternative investment clients through client implementations, investment performance measurement, attribution analysis, ex-post risk reporting, and GIPS compliance. Manages production processes, reviews calculations, validates data integrity, prepares client deliverables, and troubleshoots reporting issues. Collaborates with clients, product management, fund accounting, technical teams, and senior leadership. Also contributes to product testing, automation, process improvement, and analytical workflow enhancements.

Lead media strategy and operations for client portfolios, oversee media SMEs, develop standardized planning and optimization processes, manage staffing and budgets, coach teams, present to clients and execs, drive adoption of new methodologies (including AI-enabled) and support new business and thought leadership.

Lead end-to-end solution design and architecture for Oracle Cloud ERP Financials, run stakeholder workshops, support presales, oversee integrations, reporting and data migration, define standards, and mentor project teams to deliver scalable cloud ERP implementations.

Own production-grade analytics pipelines from design through maintenance, build dbt-based analytical models using Kimball dimensional modeling, and deliver reliable data features. Partner with Product, Engineering, and Data Science teams to translate retail signals into business insights. Establish standards for monitoring, documentation, reproducibility, and code quality. Use AI tools to accelerate development and prototype conversational data experiences for natural-language retail data exploration.

Lead analytics and operations for Sales and Services: build dashboards, forecasts, and financial models; surface data-driven insights; manage requests and stakeholder relationships; improve SFDC data and processes; partner with BI and product teams to optimize reporting and operational efficiency.

Manage analytics consulting projects from problem definition through solution delivery. Translate client business challenges into analytics designs, apply statistical and machine learning techniques, present insights to executives, and develop plans to operationalize solutions. Collaborate with global consulting, IT, and data engineering teams while managing stakeholders and project teams.

Lead digital media campaign measurement, performance reporting, dashboard development, data integration, quality monitoring, and reporting automation. Analyze incrementality tests, statistical models, attribution, and market trends to identify media impact and provide actionable recommendations. Collaborate with data engineering, agency, client, and executive stakeholders, presenting complex findings in clear business language and maintaining reporting standards and documentation.