Top Analyst Jobs in Toronto

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.

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.

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.

Prepare and analyze monthly, quarterly, and annual financial reports; build models, forecasts, and budgets; track KPIs and revenue trends; perform variance and profitability analysis; support cash flow forecasting, strategic planning, and stakeholder presentations; recommend process improvements and collaborate with cross-functional teams in a remote environment.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The FP&A Analyst will drive financial modeling, forecasting, and strategic analysis to support a high-growth fintech business, partnering with multiple teams and focusing on M&A activities.

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 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.