Top Data Analyst Jobs in Toronto

Early-career business analyst on a multi-year investment platform transformation. Support requirements gathering, hands-on data analysis, testing, and documentation across conversion, data integration, data platform (Snowflake) and custom solutions. Engage with stakeholders, run test plans, investigate data discrepancies, and contribute to AI-driven process improvements and change management.

Lead business and data analysis for a multi-year investment platform transformation into Aladdin and a Snowflake data platform. Elicit and document requirements, perform hands-on data profiling and reconciliation, design extensible capabilities, own delivery and operability, define and execute test plans, and support current-state systems to ensure correct migration and ongoing operation. Drive stakeholder workshops, change management, and documentation to ensure solutions are production-ready and maintainable.

Responsible for supporting data operations, generating reports, and maintaining data quality through advanced Excel and MS Access skills, along with SQL Server and C#. Opportunity for enhancing processes and CRM development.

Support the development and enforcement of data governance policies and standards. Collaborate with stakeholders to enhance data quality and compliance while managing data governance projects.

Use advanced analytics, statistical testing, and machine learning to optimize onboarding, activation, and Next Best Action strategies. Build dashboards and automated reports, analyze campaigns and customer journeys, collaborate with cross-functional teams, and translate insights into actionable recommendations to improve engagement, profitability, and risk outcomes.

Execute and document complex testing, monitoring and operational activities for credit/data controls. Analyze data to provide insights and recommendations, identify root causes, support change management and continuous improvement, and maintain stakeholder relationships to ensure timely, compliant service delivery.

Lead front-end analysis for data and analytics initiatives: define solution intent, assess feasibility and data quality, perform SQL profiling and source-to-target mapping, document data definitions and business rules, identify risks, and support delivery, adoption, and reporting across business and technical stakeholders.

Lead design and administration of enterprise backup, recovery, and cyber-resiliency using Veeam, Commvault, and AvePoint. Drive data governance, classification, retention, and Microsoft Purview initiatives. Support DR/BCP planning, recovery testing, cloud and on-prem platforms, and mentor junior staff while ensuring compliance and audit readiness.

Lead finance-focused data standards, controls, and Chart of Accounts optimization. Gather requirements, translate needs into functional specifications, coordinate cross-functional projects, support QA/testing, assess impacts, and drive process improvements and change management with finance and IT stakeholders.

Serve as delivery lead and senior digital analyst for clients: gather measurement requirements, analyze large event datasets (BigQuery/SQL), build visualizations, present insights, guide implementations (GTM/Tag tools), coordinate cross-functional delivery, and ensure QA and on-time execution.

Lead administration and roadmap for BI tools (Domo, Tableau); build advanced dashboards with custom code; automate ETL with Airflow and Jenkins; use SQL, Python, and Java; apply AI to speed development; train and mentor analysts and ensure high-quality, user-focused data visualizations.

The Senior Analyst, Growth Analytics (CRM) will own CRM analytics strategy, build measurement frameworks, analyze experiments, track performance, and present insights to leadership to optimize customer retention and lifetime value.

Senior Analyst supporting finance technology transformation: research and implement AI/ML and automation solutions, deliver technology projects, improve finance processes and compliance, support audit/SOX readiness, produce analysis and stakeholder communications, and collaborate across Finance, IT, and Operations to drive measurable efficiency and cost savings.

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.

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

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.

Support the Financial Data product by translating roadmap goals into engineering requirements, creating mockups and business logic, querying PostgreSQL/Snowflake/Athena for data insights, performing data validation and QA, documenting product features, coordinating cross-team prioritization, and contributing to release communications.

Lead and execute strategic data analyses for banking platforms, develop models and visualizations, drive analytics initiatives, consult with business clients, manage system changes from requirements to implementation, coach junior staff, and ensure data quality, risk compliance, and alignment between business and IT.

Lead subscription analytics: define KPIs, design experiments (A/B tests), analyze customer lifecycle, identify retention/growth opportunities, ensure data quality, and build dashboards to inform cross-functional decisions.

Lead data governance for a major data platform project: define and enforce governance artifacts (access, metadata, quality, ownership), align SLAs and operational readiness, manage change and issues, enable stakeholders through training, and advise on report governance and compliance.

Lead people analytics by building end-to-end models and production data pipelines, designing dimensional models, and creating LLM/NLP solutions. Translate statistical outputs into executive-ready insights, develop automated dbt/Snowflake workflows and dashboards, partner with HR systems owners and the enterprise data office, and enforce data governance and privacy for People data to support strategic workforce decisions.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Support vehicle profitability analysis by developing automated COP/CMP-I models, dashboards, and forecasts using Power BI, Excel, and data techniques (regression, scenario modeling). Translate analytics into pricing and incentive insights, partner with IT to improve data quality, and drive process automation and forecasting for budgeting and strategic initiatives.

Gather, analyze, normalize, and validate disparate data files for upload into master data management systems. Support Purchasing, Sales, Sourcing, and Pricing with data guidance and analysis. Maintain product, vendor, customer, cost, and price files; identify automation opportunities; resolve data discrepancies and train or guide junior staff.

Ensure completeness, reliability, and controls of investment-related data and security master records. Maintain data quality, implement controls, resolve discrepancies with cross-functional teams, support reporting and audits, and contribute to data management initiatives (e.g., Aladdin MVP).