Top Data Analytics Jobs in Toronto

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Leads GS1 Canada’s enterprise business intelligence, analytics, market intelligence, KPI framework, and AI-enabled transformation. Builds and manages the analytics function, develops predictive and decision-oriented insights, supports executive and Board reporting, and partners cross-functionally on subscriber growth, retention, adoption, performance, and market opportunities. Establishes governance, responsible AI practices, measurement standards, and team capabilities while translating complex data into strategic recommendations.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, campaign reporting, experimentation, and lifecycle analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and generate actionable insights. Builds churn, retention, segmentation, and LTV models while evaluating paid acquisition and customer growth opportunities using SQL, Python, BI tools, marketing platforms, and modern AI-enabled workflows.

Manage and expand distributor, reseller, and systems integrator partnerships across Eastern Canada. Develop strategic account plans, drive partner pipeline and revenue, oversee forecasting and account mapping, enable partners, coordinate virtual marketing, sales, and technical teams, and serve as the liaison between channel partners and Trellix sales leadership. The role focuses on enterprise, commercial, and government segments and requires cybersecurity marketplace knowledge and channel sales experience.

Designs and prototypes scalable agentic AI architectures across Azure, AWS, or GCP. Responsibilities include multi-agent orchestration, LLM applications, RAG pipelines, memory and vector search, enterprise integrations, cloud-native engineering, code reviews, AI governance, security guardrails, and stakeholder leadership. The role requires hands-on development, framework evaluation, and translating business needs into production-ready AI platforms.

Leads end-to-end delivery of global R&D analytics and data initiatives, managing plans, budgets, risks, dependencies, governance, stakeholders, vendors, and transitions to business-as-usual operations. The role aligns analytics roadmaps with enterprise technology standards, coordinates cross-functional teams, prepares portfolio reporting, and applies Agile, Waterfall, or hybrid delivery methods to achieve measurable business outcomes.

Lead the migration of analytics workloads from SAS to Python while remaining hands-on with coding. Provide technical leadership, establish coding standards, conduct code reviews, migrate workloads, write and debug Python and SQL, create unit tests, and schedule jobs on Linux/Unix using CRON. Work with Git/GitHub, SAS Enterprise Guide, and JupyterHub, and own delivery from design through completion.

Migrate SAS analytics workloads to Python, write and test SQL and Python code, create unit tests, debug applications, schedule Linux/Unix jobs with CRON, and manage code through Git/GitHub. Use SAS Enterprise Guide and JupyterHub while supporting a BMO US Analytics contract.

Lead end-to-end executive and leadership recruiting across business and technology functions, including talent mapping, sourcing, stakeholder partnership, hiring strategy, offer negotiation, and closure. Mentor recruiters, monitor pipelines and hiring metrics, and develop talent strategies for data science, analytics, data engineering, and machine learning roles. The position partners with senior business leaders and supports recruiting growth in a global analytics consulting environment.

Leads analytics, reporting, digital health, and clinical information systems teams. Oversees enterprise reporting, Power BI dashboards, predictive analytics, AI-enabled solutions, Meditech Expanse optimization, data governance, and clinical system integrations. Manages supervisors and technical staff, prioritizes work, supports digital transformation, and partners with clinical, operational, financial, and executive stakeholders to improve decision-making, system adoption, and organizational performance.

Leads counterparty credit risk analytics, regulatory and management reporting, dashboards, risk indicators, data governance, and reporting framework development. Provides expert guidance on exposure metrics, derivatives, collateral, netting, stress testing, and regulatory requirements. Manages strategic initiatives, stakeholder relationships, audits, controls, operational processes, and team performance while delivering accurate risk insights and reporting solutions.

Leads counterparty credit risk analytics, exposure measurement, model governance, regulatory and stress testing deliverables, data controls, automation, and team leadership. Provides insights on PFE, settlement, MTM, CVA, collateral, netting, wrong-way risk, and trading exposures while partnering with risk, trading, model validation, and technology teams.

Lead architecture and full-stack development for EASE, including TypeScript and Vue applications, backend APIs, automated testing, deployments, and production support across AWS and air-gapped on-premises environments. Own complex features, gather stakeholder feedback, improve performance and scalability, enhance CI/CD, and mentor engineers. The role also involves prototyping generative AI capabilities, integrating simulations, working with geospatial data, and maintaining secure, reliable distributed systems.

Supports INFINITI product initiatives through sales, incentive, and program performance analysis; competitive intelligence research; program communications; advertising disclaimer review; website offer testing; product marketing and launch planning; AI-driven innovation projects; and administrative coordination.

Develop and maintain Power BI dashboards, reports, DAX measures, KPIs, and dimensional data models for insurance stakeholders. Write complex SQL for data extraction, transformation, reconciliation, and analysis. Investigate data-quality issues, validate reporting accuracy, optimize performance, and translate insurance business requirements into actionable analytics solutions. Collaborate with engineering, business, and analytics teams across multiple data sources.

Leads and mentors a team of applied machine learning scientists developing predictive AI for regression, classification, and anomaly detection. Provides technical and strategic leadership, designs enterprise-scale AI/ML systems, translates business objectives into scalable solutions, collaborates with engineering and research teams, and ensures governance and regulatory compliance across Canadian Personal Banking.

Work full time on a defined data science and analytics project using production robot, retail, and operational data. Responsibilities include SQL and Python analysis, BigQuery and dbt workflows, dimensional modeling, dashboard development, data-quality validation, analytical insights, and collaboration with technical and business stakeholders. Interns present their project and results at the end of the program.

Designs and owns scalable analytics data models, pipelines, semantic layers, and data quality practices. Partners with engineering, product, AI, and business stakeholders to translate ambiguous needs into reliable data solutions. Responsibilities include dimensional modeling, transformation workflows, observability, documentation, governance, lineage, warehouse optimization, and self-service analytics enablement using modern cloud data platforms.

Leads an analytics team responsible for building governed data products, modernizing reporting, standardizing enterprise KPIs, and delivering self-service analytics and executive-ready insights. The role guides data strategy and architecture, manages governance and metadata, partners with business and IT stakeholders, maintains operational reporting, and mentors analysts and developers while using agile delivery practices.

Leads customer and marketing analytics, developing predictive models for propensity, churn, customer lifetime value, segmentation, forecasting, and campaign optimization. The role manages the full analytics lifecycle, including requirements gathering, modeling, deployment, monitoring, governance, reporting, and communicating insights. It partners with marketing, product, customer management, data, IT teams, and agencies to support growth, retention, and data-driven business decisions.

Leads Emburse’s Analytics and Travel Analytics engineering teams, overseeing people development, delivery, data pipelines, dimensional models, embedded analytics, dashboards, and AI-enabled insights. Owns SDLC and agile practices, partners with Product on scope and tradeoffs, ensures secure and compliant data practices, and improves quality, automation, testing, cost management, and delivery predictability. The role also recruits and develops engineering talent across North America and Europe.

Leads enterprise HR analytics and AI consulting engagements from discovery through delivery. Translates business challenges into scalable analytics solutions, manages senior client stakeholders, and guides cross-functional data science, data engineering, and business analyst teams. Oversees HR data transformation initiatives, advises on workforce metrics, supports embedding analytics into business processes, and identifies opportunities for solution pitches and account expansion.

Lead analytics consulting engagements for enterprise clients by translating business challenges into AI and analytics solutions. Define agentic AI requirements, workflows, and outcomes; oversee end-to-end delivery; collaborate with technical and global teams; manage stakeholders and projects; apply statistical and machine learning techniques; and help operationalize solutions that deliver measurable business value.

Leads Oracle reporting and analytics consulting engagements, including project delivery, client relationships, requirements gathering, dashboard and reporting solutions, data governance, modeling, and integrations. Manages project scope, timelines, budgets, teams, and deliverables while mentoring consultants and supporting proposals and business development. Partners with Oracle ERP, HCM, SCM, and EPM teams to deliver enterprise analytics solutions. Requires extensive Oracle Analytics consulting experience, client leadership, and up to 50% travel.

Lead Oracle Analytics reporting and analytics workstreams for client implementations. Manage consulting teams and client relationships, gather requirements, design dashboards and reports, oversee data integration and governance, manage project scope and budgets, mentor consultants, and support proposals and business development. The role partners with Oracle ERP, HCM, SCM, and EPM teams to deliver integrated analytics solutions and requires up to 50% travel.