Top Analyst Jobs in Toronto

The Senior Analyst will support project delivery, analyze data for insights, collaborate with teams, and improve processes in Lending.

The Analyst will support affiliate partners in card acquisition by executing strategies, managing relationships, and utilizing data to optimize performance.

Design, implement and support scalable, secure SaaS application integrations for Brookfield Wealth and Credit. Provide L3 after-hours support, optimize pipelines, perform RCA and vulnerability remediation, partner with stakeholders, and deliver integration projects to meet SLA and architecture standards.

Design, implement, and manage ERP application security across JD Edwards and Microsoft Dynamics platforms. Enforce role-based access, segregation of duties, and least-privilege; perform SoD risk analysis and remediation; monitor access logs and security events; support audits and compliance; conduct user access reviews; and collaborate with IT and business teams on secure ERP changes and integrations.

Support and improve Staples Canada9s PCI and cybersecurity compliance programs by coordinating assessments, evidence collection, audits, vendor risk reviews, policy management, mitigation tracking, and GRC tooling maintenance while liaising with cybersecurity, technology, audit, and business stakeholders.

Lead detection, investigation, and response to security incidents across network, endpoint, cloud, and SaaS environments. Design and operate DLP and data governance controls, embed security into cloud/SaaS projects, improve detection across SIEM/EDR/identity/email telemetry, support audits, and mentor junior analysts.

Lead OT cybersecurity GRC activities including gap analyses, risk assessments, standards/procedures, and training. Mentor junior staff, prepare technical deliverables from engineering documentation, support sales and R&D, and perform FAT/SAT testing in industrial environments.

Coordinate and consolidate investment financial data, prepare investment-related notes to consolidated financial statements, support audits, draft accounting policy, reconcile automated inbound data, manage intercompany loan documentation, support transformation projects, and identify process improvements and automation opportunities while collaborating with stakeholders and auditors.

Support, configure, and optimize Microsoft Dynamics 365 and Power Platform across global offices. Act as liaison between business and IT to gather requirements, design solutions, manage implementations, integrations, testing, upgrades, data migrations, training, documentation, and ongoing support to improve processes, automation, data quality, and user adoption.

Monitor, investigate, and respond to cybersecurity alerts across customer environments in a 24/7 MDR operation. Conduct threat hunting, analyze suspicious activity, phishing, binaries, and endpoint telemetry, and support incident containment, mitigation, and recovery. Mentor Tier I analysts, manage client cases, document investigations, tune detections, research emerging threats, and improve security operations playbooks and processes. Participate in shift rotations and communicate findings to technical and non-technical stakeholders.

Lead CPCSC compliance for projects from discovery through certification readiness. Engage project teams and stakeholders to identify gaps, gather requirements, implement controls, collect audit evidence, and develop compliance documentation. Drive continuous improvement, coordinate assessments, and support adoption of scalable security solutions in operational project environments.

Conduct primary and secondary life sciences research, analyze market and competitive data using Excel models, develop strategic recommendations, create client-ready PowerPoint presentations, present findings, and manage project administration. The role requires strong life sciences expertise, business strategy interest, analytical and communication skills, and U.S. work authorization. Analysts may work from Los Angeles or Oakland, with potential New York placement and limited travel.

Owner of end-to-end data analysis and delivery for product and client solutions. Design queries, datasets, reports and dashboards, protect recurring data deliverables, partner with Product/Sales/Technology, mentor junior analysts, and apply automation/AI to improve workflows and inform product strategy.

Gather, analyze and document business and functional requirements for front- and middle-office capital markets processes (derivatives, fixed income, equities). Partner with trading, risk, operations, IT and development teams to define technical solutions, perform gap analysis, support implementations, and participate in testing including UAT. Recommend process improvements and stay current on industry and regulatory changes.

Support Cigna Canada with monthly reporting, annual financial statements, data analysis, regulatory research, forecasts, audit facilitation, accounting policy maintenance, dashboards, and ad-hoc finance projects.

The Data Analyst will analyze large datasets, collaborate with stakeholders, develop data processes, and support data-driven decision-making to improve business efficiency.

Support and implement pricing and gross margin improvement initiatives. Build BI dashboards and analyses, perform competitive pricing and segmentation, drive standardized pricing practices, and collaborate with stakeholders to monitor and adjust pricing programs to meet margin targets.

Support client operations through data collection, cleansing, transformation, modeling and reporting. Build and automate standardized reports, design surveys and market tests, use BI tools to visualize insights, and make data-driven recommendations to support sales and marketing objectives.

Lead commercial P&C pricing and predictive analytics efforts: maintain and enhance SAS-based pricing tools, collaborate with Data Science and underwriting to develop and validate models, deliver data-driven pricing recommendations, support small business pricing, mentor junior analysts, and drive process improvements and automation.

Analyze and transform claims and financial data to deliver insights, automate data-science workflows, identify opportunities to improve claims payment accuracy and reduce expense, benchmark performance, and collaborate with Claims, Actuarial, Pricing, Data Science, Underwriting and Risk to influence operational improvements.

Lead development and execution of payment fraud strategies. Investigate and monitor fraudulent activity, perform SQL-driven analytics and root-cause reporting, build and deploy fraud detection models, and collaborate with product, engineering, and vendors to implement automated fraud controls.

Lead Salesforce-focused business analysis and solution design to improve sales effectiveness, customer experience, and operational efficiency. Gather requirements, run workshops, document user stories, define integrations and data flows, support configuration and rollout of CRM and AI capabilities, and define reporting to track ROI.

Lead the RTB reporting sub-team to ensure accurate, reliable finance and compliance reports. Build repeatable processes, documentation, and automation; own stakeholder relationships; mentor juniors; and drive cross-functional reporting initiatives from definition through execution.

Analyze product usage, feature adoption, telemetry, and financial data to generate actionable insights. Own data modeling, dashboards, KPI development, and end-to-end analytics delivery while partnering with stakeholders on product initiatives. Mentor associate-level analysts and maintain strong execution metrics for analytics work. The role requires advanced SQL and Python, Databricks and PySpark expertise, visualization experience, and SaaS product analytics experience.

Design, build, and maintain secure cloud, on-premises, and hybrid infrastructure. Develop and support Infrastructure-as-Code, automation, and deployment standards. Implement cloud security, identity, secrets management, monitoring, and telemetry. Integrate security tooling and automate controls, remediation, and operational workflows to improve threat detection, response, and operational efficiency.