Top Analyst Jobs in Toronto

Prepare and review corporate and consolidated IFRS financial statements, lead close cycles, manage reconciliations and investment summaries, forecast cash flow and NAV, support investor relations, compliance, board reporting, and assist on transactions and ad hoc analyses to support senior management.

The Implementation Analyst will manage client relationships, implement product features, optimize sales processes, and leverage analytics to improve performance.

Lead applications support and integration across technology teams: analyze complex systems, define scope for high-impact enhancements, document requirements, identify risks and mitigation, coach junior analysts, and influence strategic technical decisions to ensure reliable application operations and compliance.

Design, develop, test and implement application systems and microservices; perform feasibility, cost/time estimates, and risk analysis; provide user and operational support; analyze complex problems and recommend solutions and security measures; consult with stakeholders, coach junior analysts, and ensure compliance with policies and controls.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.

The Trade Finance Analyst manages trade expenditures, calculates TREX accruals, reconciles balance sheet accounts, supports TPM system implementation, and analyzes trade-related payments and invoices for the France market.

Own Mixpanel and partner closely with Product to turn product-level data into decision-grade insights. Define instrumentation and event taxonomy, build dashboards and notebooks, run cohort and retention analyses, design and analyze A/B tests, and collaborate with data engineers to model product event data. Document metrics, maintain a living glossary, and translate findings into actionable product recommendations.

The Analyst/Sr. Analyst supports capital markets financing, focuses on financial modeling, due diligence, and deal documentation, and collaborates with various functional teams.

Perform hands-on product and player analytics across onboarding, retention, monetization, progression and LiveOps. Build and QA ETL pipelines in an AWS analytics stack, write cost- and performance-aware SQL, support A/B testing, and create reusable AI-enabled analytical workflows and notebooks to inform product, marketing, and LiveOps decisions.

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 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.

Audit and improve data labeling quality in human-in-the-loop ML workflows. Coach and onboard labelers, provide actionable feedback, monitor queues, identify recurring issues, and help refine guidelines and processes.

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 data labeling outputs, coach and onboard annotators, apply and refine guidelines, monitor workflows and escalate issues, document findings, and support human-in-the-loop AI evaluation processes.

Use advanced analytics to monitor collections performance, evaluate third-party agencies, design incentive programs, and develop Power BI dashboards. Partner with operations, strategy, and risk to translate insights into actions, document data flows, and deliver training to non-analytical users to improve collections efficiency and portfolio outcomes.

Provide production support and administration for Oracle EPM Cloud/SmartView planning and reporting systems. Troubleshoot issues, manage configurations, gather and document business requirements/user stories, coordinate estimates, execute end-to-end testing, communicate with business partners, and ensure SLA, risk tracking and timely resolution of operational issues.

Partner with cross-functional teams to lead month-end close, P&L management, forecasting, budgeting, and management reporting. Build financial models, analyze variances, assess promotion/pricing effectiveness, support sales finance, and drive process improvements to provide actionable, data-driven insights to commercial and finance leadership.

Lead end-to-end customer experience analytics: translate business questions, build/validate datasets, perform root-cause and impact analyses, influence stakeholders, and track post-implementation results. Partner cross-functionally, manage multiple projects, and communicate insights to senior leaders.

Reconcile policy-level premiums, commissions, receivables, and other policy details between Arch and MGAs. Prepare exhibits summarizing reconciling differences, maintain policy-level detail, track and age differences, and collaborate with accountants, underwriters, IT, and MGAs to resolve discrepancies.

Manage change requests from intake through deployment: gather requirements, write user stories and acceptance criteria, coordinate development and timelines, communicate with customers, run demos, track project costs, and close out CRs. Mentor team members, improve processes, and build strong customer relationships to drive adoption and retention of the Case IQ SaaS platform.

As a Product Analyst, you'll analyze product and user data, benchmark competitors, develop performance reports, and collaborate on product improvements through data-driven insights.

As a Financial Analyst, you'll support financial processes, assist with reporting, manage accounting records, and collaborate with cross-functional teams to inform decision-making.

As a Data Analyst, you will analyze user behavior and product performance, creating reports and dashboards to aid decision-making and optimize user experience.

The Product Analyst will analyze product data to identify trends, enhance user experience, and collaborate with teams to improve product features.