Top Analyst Jobs in Toronto

Implement, deploy, and maintain CityView applications across customer environments (cloud and on‑premise). Perform installations, upgrades, monitoring, troubleshooting, database updates, and off‑hours support. Resolve customer tickets, escalate defects to Development, and contribute to automation, AI‑assisted knowledge management, and operational runbooks.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Provide phone and desk-side end-user desktop and telecommunications support, document incidents in the IT service management system, perform imaging and hardware/software troubleshooting, execute moves/adds/changes, maintain high phone availability, and collaborate on Service Desk projects to meet service level objectives.

Provide financial support to the Healthcare Group by performing month‑end and quarter‑end close, journal entries, balance sheet reconciliations, revenue tracking and analysis, forecasting, audit support, and leading ad hoc projects while building strong relationships with stakeholders.

Transform SOC operational data into actionable insights to improve MDR service delivery. Analyze workflows, identify gaps and trends, define performance metrics, validate improvements, integrate AI into analysis, conduct root-cause investigations, and collaborate with cross-functional teams to enhance quality, efficiency, and customer experience.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

Drive go-to-market for automotive customers by researching strategic accounts, building ROI models and commercial proposals, tracking procurement and supplier ecosystems, analyzing competitors, creating executive materials, and supporting end-to-end business development efforts with AI-accelerated 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 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 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.

Support daily crypto market operations by monitoring prices, liquidity, and trading activity across spot, futures, and options. Assist with rebalancing across CEX/DEX, track issues for developers, analyze data and charts for signals, ensure trading bots meet risk and performance rules, and coordinate treasury and client reporting.

Audit and monitor data labeling outputs, provide actionable feedback, support onboarding and training of annotators, enforce and improve guidelines, escalate workflow issues, and document findings to maintain high-quality human-in-the-loop AI data processes.

Audit and ensure quality of data labeling work for ML using human-in-the-loop processes. Provide feedback, train and support annotators, monitor workflows, identify recurring issues, and help improve guidelines and processes.