Top Data Analytics Jobs in Toronto

Lead enterprise architecture and solution design engagements for strategic ServiceNow customers. Translate executive business needs into high-level architectures spanning IT transformation, enterprise service management, digital products, integrations, cloud platforms, and AI. Engage CIOs, CTOs, architects, partners, and internal teams; deliver workshops, best-practice guidance, educational sessions, white papers, and thought leadership. Build trusted relationships and communicate complex technical concepts while aligning ServiceNow solutions to customer strategies and technology landscapes.

Leads the strategy, roadmap, development, launch, and scaling of Canadian income and employment verification products. Owns product vision, customer discovery, experimentation, user experience, API and data requirements, analytics, pricing, packaging, compliance, and rollout planning. Partners with technology, operations, sales, marketing, legal, data providers, and customer success teams to deliver secure, compliant products and drive continuous improvement through performance metrics and customer insights.

Supports fraud performance reporting, KPI governance, scorecards, executive materials, operational excellence, quality assurance, and continuous improvement. The role analyzes performance data, identifies operational risks and inefficiencies, contributes to business cases and financial analysis, supports fraud funnel optimization, and partners with cross-functional teams to implement analytics and AI-enabled solutions. It also assists with audit readiness, training, governance, and workforce enablement.

Leads BMO InvestorLine’s AI strategy, portfolio, and multi-year roadmap. Identifies and prioritizes opportunities, develops business cases, defines AI product visions, and guides products from discovery through launch, adoption, optimization, and value realization. Partners across technology, data, design, operations, risk, legal, compliance, and vendors while ensuring responsible AI, privacy, security, and regulatory compliance. Advises executives and drives measurable business and client value in a regulated financial-services environment.

Build Power BI reports, dashboards, semantic models, and Microsoft Fabric data pipelines for client engagements. Translate business needs into technical requirements, integrate APIs and business applications, establish governed data foundations, and support AI readiness. Conduct Fabric assessments, configure security and governance, deliver training, document solutions, review partner work, support demos, and identify follow-on opportunities. The role requires customer-facing communication, analytical problem-solving, and occasional travel.

Leads enterprise digital performance marketing strategy, execution, SEO, generative AI and search visibility initiatives. Oversees digital channel standards, technical search architecture, content authority, agency and vendor relationships, investment planning, measurement, governance, and risk. Advises senior executives using performance insights and develops high-performing teams across portfolios. Requires extensive experience in digital marketing and transformation, strong SEO and AI expertise, executive influence, leadership capability, and experience operating in regulated environments.

Lead and develop five experienced analysts and data scientists while personally owning analytics across ecommerce, health, and supply chain. Partner with executives, establish KPI and reporting standards, prioritize the analytics roadmap, deliver strategic insights, and advance AI-native self-service analytics tools. The role combines people leadership, hands-on analysis, data governance, and business strategy in a remote-first environment.

Evaluate, structure, and price consumer asset-backed transactions; develop capital structuring, pricing, and quantitative loan performance models; and provide insights supporting funding strategy and merchant pricing. Collaborate with Capital Markets, Treasury, Credit, Commercial, Product, Engineering, and other teams to guide funding, product, and business decisions.

Own marketplace monetization and economics by analyzing supply, demand, pricing, profitability, and user experience. Build dashboards, conduct experiments, evaluate affiliate and merchant incentive performance, and optimize marketplace inventory and offers. Partner cross-functionally with Sales, Client Success, Marketing, Product, and Engineering to improve merchant value, engagement, conversion, and sustainable growth. Manage analytical workflows and data pipelines using SQL, Python, dbt, Sigma, and ETL tools.

Build and scale AI-first marketing enablement systems, workflows, integrations, playbooks, learning resources, and measurement dashboards. Own department-wide initiatives including AI transformation, onboarding, and acquisition integration. Evaluate and deploy tools with IT and Legal, establish governance and access controls, identify capability gaps, drive adoption, and measure outcomes such as productivity, engagement, and process effectiveness.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Manage organic social growth for a global wellbeing brand by building social account networks, scaling high-performing content, optimizing acquisition funnels, and running data-driven growth experiments. The role combines creative marketing, growth hacking, analytics, AI automation, and team leadership to increase organic acquisition, conversion, and business results.

Grow a wellbeing brand through organic social acquisition. Responsibilities include scaling social account networks, developing and testing growth strategies, optimizing acquisition funnels, running experiments, automating production with AI, building channel analytics, and leading cross-functional content production. The role requires an acquisition-focused, creative, analytical, and hands-on approach to scaling organic growth and improving business metrics.

Provides commercial decision support for pharmaceutical brands by combining market, CRM, customer, patient, and field data into actionable insights. Owns patient and demand forecasting models, sales force effectiveness analytics, KPI scorecards, and Power BI dashboards. Partners with Marketing, Sales, Finance, Medical, Market Access, and Patient Services to guide brand strategy, resource allocation, planning, and performance management. The role requires strong pharmaceutical market knowledge, analytical judgment, communication skills, and the ability to translate complex data into recommendations.

Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.

Lead and manage regulatory and legal-entity reporting for Canadian member firm entities, ensuring accurate CIRO filings, controls, reconciliations and audit readiness. Drive regulatory change implementation, process improvements, automation and cross-functional coordination with Finance, Operations, Compliance and Technology.

Leads the design, development, and delivery of complex Orgvue platform solutions for enterprise partners and customers. Acts as a senior technical expert, gathering requirements, solving implementation challenges, supporting proofs of concept, and translating market needs into scalable capabilities. Collaborates with Product, Engineering, Partner Success, and Customer Experience teams; creates documentation and reusable assets; uses LLM tools; and mentors Solutions Engineers and customer-facing teams.

Owns strategy, roadmap, discovery, backlog, delivery, and performance for a lifelong learning SaaS product. Partners with Engineering, UX, Customer Success, Sales, Marketing, and leadership to translate customer and market needs into measurable outcomes. Leads Agile product teams, defines requirements and success metrics, supports commercialization, and evaluates AI and emerging technologies to improve learner experiences, adoption, registrations, revenue, and operational efficiency.

Design web and mobile experiences for Campaigns and Recognition products. Collaborate with product managers and engineers, conduct user research and usability testing, create wireframes, flows, prototypes, and interface content, and contribute to the design system. Apply accessibility and inclusive design principles, analyze product analytics, facilitate team decisions, and suggest improvements within an agile product development environment.

Leads global marketing operations, technology, AI and automation, website operations, analytics, data governance, measurement, and digital experience strategy. Owns marketing technology investments, operating models, budgets, transformation initiatives, executive dashboards, attribution, and cross-functional alignment. Builds and manages a high-performing team while partnering with Marketing, Sales, Revenue Operations, Product, Technology, Data, Finance, and Legal.

The Data Scientist will partner with Sales, Revenue Operations, and Finance to analyze GTM performance, build and productionize machine learning models, conduct experiments, forecast outcomes, and identify growth opportunities. Responsibilities include statistical analysis, causal inference, Python and SQL development, MLOps, agentic workflow automation, semantic-layer contributions, executive reporting, and communicating insights to nontechnical stakeholders in a fully remote environment.

Leads the Process Engineering practice and a team of Process Engineers while driving complex, cross-functional transformations across investments, corporate, and real estate functions. The role analyzes and redesigns end-to-end processes, enables AI and automation initiatives, defines technology support models, oversees operational readiness and change management, and ensures benefits realization. It also develops process engineering standards, methodologies, and partnerships across business and technology teams.

Owns the strategy and roadmap for semantic insurance data products supporting AI, analytics, automation, and enterprise applications. Defines canonical concepts, relationships, metadata, data quality standards, APIs, knowledge graphs, and AI-ready consumption patterns. Partners with engineering, architecture, data, AI, UX, customer success, and insurance stakeholders to translate complex P&C insurance needs into product capabilities, prioritize use cases, establish requirements, drive adoption, and measure business impact.

Own the Northern California enterprise sales territory and full sales cycle, from account prioritization and pipeline creation through technical validation, executive alignment, negotiation, and close. Build new accounts, expand existing relationships, lead complex technical sales involving storage, data infrastructure, AI/ML, analytics, and HPC, and manage POCs, business cases, partners, forecasts, and cross-functional resources. The role requires enterprise quota attainment, new-logo wins, complex deal experience, and technical credibility in object storage and adjacent platforms.