Top Analyst Jobs in Toronto

Support commercial organization by managing lead routing, CRM data integrity, and sales processes; conduct market research and build business cases; create dashboards and reports; identify pipeline optimization opportunities; enable sales through proposals, tools, and process rollouts while partnering cross-functionally with Sales, Marketing, Revenue Operations, and Leadership.

Lead centralized deal desk operations: advise Sales and Customer Success on pricing, structuring, and quoting; ensure margin and revenue recognition hygiene; govern approvals; improve CPQ/quoting systems; generate insights from deal data; build playbooks and enablement; partner across Finance, Product, and RevOps to accelerate deal velocity and scale quoting processes.

As a Senior Analyst, you will leverage data for Lyft's global expansion strategy, collaborating on product enhancements and growth opportunities, while analyzing impacts on users and markets.

Lead payroll governance, process and system strategy for global payroll transformation. Capture and migrate local processes, run design sessions, collaborate with vendors and IT, support implementations, maintain KPIs, training, audits, and continuous improvement across multiple countries.

Monitor and analyze product and advertising KPIs, integrate data from multiple sources, build and optimize weekly/monthly marketing reports, run A/B test analyses, create campaign summary reports, and provide actionable recommendations to improve campaign performance.

Review, redline, and negotiate commercial contracts in English and French; evaluate contractual risks; coordinate with cross-functional teams; support sales contracting processes; maintain contract programs, reporting, and tools; mentor analysts and improve legal operations and systems.

The Business Analyst will support commodities trading operations, gather business requirements, analyze workflows, and collaborate with technology teams for effective trading solutions.

Manage and architect global ProjectWise and Egnyte environments, automate workflows with PowerShell, integrate and troubleshoot Autodesk products, execute upgrades and migrations, provide Tier 3 support, enforce governance, and deliver UAT and training to AEC teams.

Support and maintain GRC programs including data and system classification, vendor security assessments, SOC 2 audit coordination, policy lifecycle management, and remediation of control gaps across technical and business stakeholders.

Lead people analytics by building end-to-end models and production data pipelines, designing dimensional models, and creating LLM/NLP solutions. Translate statistical outputs into executive-ready insights, develop automated dbt/Snowflake workflows and dashboards, partner with HR systems owners and the enterprise data office, and enforce data governance and privacy for People data to support strategic workforce decisions.

Lead end-to-end I&IT business analysis: elicit, document, model, and validate requirements; develop business cases and feasibility studies; facilitate stakeholders; support Agile, Iterative, and Waterfall delivery; create traceability, reporting, and governance to ensure successful technology solution delivery.

The finance analyst prepares and files various tax returns, processes tax-related transactions, and maintains accuracy in a fast-paced environment.

Perform product and player-behavior analysis for Marvel Strike Force using SQL/Python and reporting tools. Build recurring KPI reports, design/validate analytics tracking and experiments, partner with cross-functional teams, and use AI-enabled tools to accelerate workflows while ensuring data quality, privacy, and clear executive-ready insights.

Lead identification and remediation of revenue leaks across US Commercial and Government contracting. Optimize Medicaid claim validation and expand controls for 340B duplicate discounts, MDP, and MFN compliance. Gather and synthesize requirements, evaluate Model N Validata vs custom builds, and coordinate cross-functional technical implementation.

Perform operational root-cause analysis across people, processes, and tools; build and refine dashboards; deliver executive-ready presentations and escalation insights; recommend tool enhancements and prioritize improvement initiatives with cross-functional teams to improve workflow efficiency and customer outcomes.

Lead QA for ServiceNow platform enhancements: design and execute functional, integration, regression and ATF automation tests; validate releases, track defects, support deployments, and promote QA best practices within Agile teams.

The role involves leading as a thought leader in technology operations and AI implementation, mentoring executives, advising on technology strategies, and producing actionable insights for clients.

Lead configuration, integration, and support of Quote-to-Revenue systems (Zuora CPQ, Billing, RevPro). Gather requirements, translate to functional specs, implement automations (Workato), coordinate releases, test systems, and partner with Revenue Accounting and Ops to ensure accurate billing and ASC 606-compliant revenue recognition.

Lead partner operations analytics and process optimization across the partner ecosystem. Monitor partner KPIs, administer CRM/PRM and BI tools, drive cross-functional improvements, build automations with Google Apps Script, and surface partner feedback to influence product and go-to-market decisions.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The Conflicts Analyst/Attorney reviews new business for conflicts, communicates with attorneys, manages data analysis, and maintains records. Requires strong problem-solving and communication skills.

Audit and ensure quality of data labeling outputs, coach and onboard Data Labeling Associates, provide actionable feedback, monitor workflows, identify patterns and edge cases, and help improve guidelines and processes in human-in-the-loop AI workflows.

Audit and review data labeling outputs, provide actionable feedback, train and support labeling teams, monitor workflows, identify recurring issues and edge cases, participate in calibrations and stakeholder syncs, and help improve guidelines and processes in human-in-the-loop AI workflows.

Audit and ensure quality of data labeling outputs, coach and onboard annotators, enforce and improve guidelines, identify recurring issues and edge cases, escalate risks, and document feedback to support human-in-the-loop AI workflows.

Audit and ensure quality of labeled data by reviewing DLA outputs, providing feedback and coaching, supporting onboarding and training, monitoring workflows, identifying recurring issues and edge cases, and contributing to guideline and process improvements in human-in-the-loop AI workflows.