Top Data Analytics Jobs in Toronto

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.

Lead revenue operations and business insights by owning GTM and revenue data integrity. Build reporting and AI-driven insights, run billable usage analysis, manage data flows with Fivetran/Salesforce/Sigma, investigate billing disputes, and translate data into actionable narratives for leadership.

The Finance Director will lead the finance team, overseeing financial planning, analysis, and management practices to support the company's growth and performance optimization.

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.

Provide pre- and post-sales consulting on fraud, identity management, authentication and AML/KYC solutions. Advise clients, develop and present custom demos and proposals, coach sales and consulting teams, monitor fraud trends, contribute customer requirements to product roadmaps, and represent Equifax at industry events.

The RevOps Analyst will enhance reporting and processes to drive revenue growth, manage quote-to-cash processes, and ensure data hygiene while collaborating with the Revenue team and delivering insights to management.

Lead development and maintenance of risk decision-support strategies using analytics, forecasting and predictive models. Advise senior leaders, design dashboards and reports, manage data and governance, ensure regulatory alignment, drive change management, collaborate with stakeholders, validate model effectiveness, and deliver insights to optimize portfolio decisions.

Develop and maintain sales forecasting models, analyze performance trends, and build dashboards in Power BI/Looker. Translate statistical analysis into actionable insights, present findings to stakeholders, ensure data governance, automate processes, and validate data to drive business decisions across Finance, Sales, and executive leadership.

Design, build, and maintain production data infrastructure and pipelines; automate workflows; enable cross-team data access; perform large-scale data wrangling, statistical analysis, and visualization to deliver business insights.

Lead design and optimization of HR data pipelines and automated workflows, build and maintain Power BI dashboards, analyze workforce data to produce actionable insights, ensure data integrity and compliance, partner with HR/IT/stakeholders to enable self-service analytics and advance People Analytics capabilities across the organization.

Lead analytics-driven revenue growth through client acquisition, lifecycle management, lead optimization, and campaign enablement. Translate data and market insights into prioritized strategies, build tracking and KPI frameworks, enable AI-enabled insights, design and test programs, optimize campaigns and journeys, and lead a team to deliver analytics, reporting, governance, and stakeholder-aligned growth outcomes.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Senior individual contributor in People Analytics leading workforce analysis, dashboards, data quality, and insight generation to inform HR and business decisions. Partners with talent, engagement, and planning teams to produce scalable analytics, benchmarks, and recommendations.

Lead complex people-analytics work: design actionable dashboards, apply rigorous research methods, translate analysis for executives, advise HR leaders, build AI-driven workflows, and work hands-on with Visier, Snowflake, SQL, and Python/R.

The GTM Analytics Lead will drive data-driven decisions across marketing, sales, and finance, optimizing performance and ensuring sustainable revenue growth through analysis and real-time insights.

Lead product strategy for Analytics and Experiments, owning roadmaps for charts, benchmarking, dashboards, predictive LTV, and experimentation infrastructure. Partner with engineering and data teams to design, ship, and iterate on metrics, A/B tests, targeting, rollout, and insights to help developers grow revenue.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

Assess and document current and target Martech architecture, identify redundancies and integration gaps, define unified data/process flows and integration patterns, recommend consolidation and AI-driven platform strategy, support implementation planning and governance, and produce architecture documentation to guide execution teams.

The Product Analytics Lead will build the analytics function from the ground up, analyzing data for product decisions, collaboration with cross-functional teams, and measuring impacts on portfolio companies.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

The Vice President of Analytics will oversee data-driven decision-making for clients, manage analytics teams, and ensure high-quality deliverables while connecting social data to business outcomes.

The Product Analytics Manager will lead analytical initiatives to enhance product capabilities and user experience through data-driven insights, experiment design, and collaboration with various teams to support product decisions.

Design and build end-to-end data solutions and pipelines using modern cloud platforms; ingest, transform, and make data available for BI and downstream consumers. Partner with business stakeholders, implement CI/CD, testing, observability, and documentation, triage performance issues, and support delivery across client engagements.