Top Analyst Jobs in Toronto

Design and maintain ETL/ELT pipelines and semantic/analytical data models; extend metric layers for BI and LLM/RAG-driven natural-language analytics; apply AI/ML and data-science techniques to produce trusted investment metrics, insights, and recommendations; embed data quality, lineage, and governance; collaborate with investment, finance, and technology stakeholders to prototype and productionize AI-enabled reporting solutions.

Lead requirements gathering, design, and implementation of SaaS analytics dashboards using data from Workday, ServiceNow, and Salesforce. Produce functional specifications and Amazon QuickSight mockups, collaborate with Snowflake-backed technical teams, support testing/UAT, manage defects, create training/docs, and mentor citizen developers across Finance, HR, Legal, Projects, and Procurement.

Assist client requirements team in gathering, documenting, and validating business requirements for mortgage technology and related enhancements.

The Business Analyst will gather requirements, develop project plans, collaborate with stakeholders, and provide solutions for business process improvements using SAAS technology and email flow systems.

The Business Analyst will manage end-to-end processes, gather requirements, develop solutions, and facilitate stakeholder communication while ensuring project timelines are met.

The Business Analyst will manage the end-to-end analyst process, clarify software requirements, improve processes, and develop project plans while collaborating with stakeholders.

The Business Analyst will manage projects, gather requirements, analyze business processes, recommend improvements, and serve as a liaison between technical and non-technical stakeholders.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

The M&A professional will support acquisition strategies by conducting research, meeting prospects, analyzing deals, and managing diligence throughout the acquisition lifecycle.

Partner with Marketing as the embedded data science lead to build marketing measurement, attribution, LTV/ROAS/CAC models, run experiments, analyze the full funnel, create forecasts and dashboards, and influence channel strategy and budget allocation.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

Perform business systems analysis supporting credit risk functions including retail and commercial credit, capital measurement, special loans, enterprise reporting, stress testing, and wholesale credit PM. Work with data warehouse systems and legacy mainframe technologies using SQL and File Aid to support risk reporting and disclosures.

Support divisional finance by performing month‑end and quarter‑end close activities, preparing journal entries and balance sheet reconciliations, analyzing revenue streams, maintaining forecasts, responding to audit requests, and leading ad hoc projects while partnering with stakeholders and senior management.

Drive product and performance analytics for mobile app user acquisition: define core metrics, analyze campaign and product trends, build dashboards and data pipelines, support experiments and ML teams, automate reporting (including AI-powered workflows), and communicate findings and recommendations to stakeholders.

Process vendor invoices, employee expense reimbursements, and AP transactions; reconcile vendor statements; prepare AP-related journal entries and support period close; audit T&E and resolve PO/invoice variances while maintaining records and supporting vendors/internal inquiries.

Lead FP&A activities including budgeting, forecasting, financial modeling and performance analysis. Provide financial oversight of P3/PPP contracts, support contract negotiations and audits, and partner with Operations to drive profitability. Build and maintain OneStream models, NetSuite analyses, and Power BI dashboards to support reporting and decision-making.

Provide operational support for a client through data collection, cleansing, modeling, reporting and visualization. Build automated standardized reports and surveys, interpret results, and make data-driven recommendations to support sales and marketing objectives.

Support internal and external IT audits, execute control assessments and attestations, perform vendor risk and SOC report reviews, validate and track remediation, and contribute to cloud and security governance and reporting improvements across IT Risk & Compliance.

Act as the bridge between business and technical teams to gather, validate, and document requirements; advise stakeholders on system solutions; optimize workflows; translate BRDs into technical specs; oversee vendor/data integrations; design test cases and coordinate UAT and training; and support project scoping, timeline estimation, and risk management.

Support product management with market and competitive research, analyze product and financial performance, maintain KPIs and dashboards, document requirements and user stories, gather customer feedback, assist testing and stakeholder communications to inform the product roadmap.

Work with clients to analyze business context and user needs, convert those into functional requirements, specify business rules, support solution design, and create templates/tools to document and scope projects for implementation teams.

The Financial Analyst will provide high-quality reporting and analytical services, influence business decisions, support finance processes, and ensure regulatory compliance while collaborating with cross-functional teams.

Provide L2 production support for data and client platforms in a 24x6 global follow-the-sun model: incident triage, escalation, SLA-driven communications, problem management, monitoring/automation (Grafana, ITRS Geneos), scripting-based automation (Shell/Python), SQL-based data investigations, change management, and mentoring SMEs while contributing to cloud migration and AI-assisted operations initiatives.

Provide SAP FICO support and guidance to finance users, covering integrations with MM, SD, WM and PP. Lead business process improvement, requirements gathering, functional specs, testing, UAT, training, cutover and production support for global business units on S/4HANA.

Design, build, and maintain scalable data pipelines and enterprise AI agents using Python, FastAPI, PySpark, Kafka, and Databricks. Deploy GenAI agents with Google ADK/Flash LLMs, build data federation and Data Mesh layers (Starburst), automate microservice integrations on cloud-native platforms (OpenShift/Kubernetes) with CI/CD, and integrate agentic tools (Devin.AI, GitHub Copilot, MCP) via prompt engineering. Ensure data quality, security, and regulatory compliance while improving data engineering processes.