Top Analyst Jobs in Toronto

The Business Systems Analyst collaborates with stakeholders and technical teams to gather requirements, improve processes, validate solutions, and support ERP systems, specifically Microsoft Dynamics 365 Finance and Operations and Business Central.

The Finance Operations Analyst manages financial processes, departmental spending analysis, billing, budgeting, and reporting for the North American business services organization.

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

The Product Analyst will oversee product analytics, collaborate with teams, define metrics, build dashboards, and improve data quality in a hybrid work environment.

The Applications Development Senior Programmer Analyst will participate in application systems development, data analysis, and project management, primarily focusing on KYC data migration and SQL programming.

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.

Provide advanced technical support for Veeva applications, resolving issues, managing environments, and ensuring optimal performance for Life Sciences clients. Collaborate with teams and document processes while staying updated on Veeva products.

The Financial Analyst will prepare financial statements, support audits, collaborate with departments, and present analyses to management.

The Senior Financial Analyst will manage financial reporting to investors, review NAV packs, oversee fund capital activity, and support audits, while analyzing complex accounting issues.

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 role involves maintaining investor relations, developing materials, coordinating investor communications, and supporting the execution of capital raising activities.

The Marketing Operations Analyst manages data flows, deduplication, reporting, and automates tasks across Marketo and Salesforce, optimizing marketing processes and data quality.

The Global Business Insight Analyst will analyze client financial data, enhance data quality controls, optimize Power BI reports, and drive business insights for strategic decisions.

Lead requirements gathering and translate business needs into user stories and functional documentation for e-commerce and CPQ quoting workflows. Collaborate with Product, Engineering, QA, and Delivery to support integrations, backlog refinement, Agile ceremonies, and process improvements across distributed teams.

Review, audit, and process employee expense reports for policy compliance and timely reimbursement. Investigate discrepancies, support audits and month-end activities, analyze expense trends, prepare reports, and provide policy guidance to employees.

Perform qualitative study design, code and verify transcripts, manage coding pipelines, triangulate qualitative and quantitative data, draft site summaries and case materials, and support de-identified dataset preparation.

Lead business analysis for complex IT and business initiatives: gather and document requirements, perform modeling and gap analysis, build business cases and feasibility studies, monitor project progress, liaise between stakeholders and technical teams, and ensure requirement traceability through implementation.

Owner of 24/7 operational monitoring and Tier-2 technical escalations for a Pay-by-Bank API. Troubleshoot integrations, use observability data (Grafana, logs) to detect patterns, liaise with engineering for RCA, maintain runbooks/status pages, participate in rotating on-call shifts, and advocate for merchant experience and SLO alignment.

Design and build audit-ready data architecture and ETL pipelines, maintain inventories/playbooks/catalogs for audit, implement automated validation and monitoring, assess change impacts, and translate audit requirements into technical specifications for stakeholders.

Partner with GTM leaders to turn large datasets into actionable insight, build dashboards and forecasting models, analyze pipeline/retention/productivity, and implement automation and AI-enabled workflows to improve revenue performance and GTM operations.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

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.

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.

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.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.