Top Data Analyst Jobs in Toronto

Design and deliver analytics platforms connecting AI cost governance and ITSM operational intelligence. Build integrated data pipelines and dashboards (executive and operational), identify AI enablement opportunities, measure productivity impact of AI, and define scalable analytics architecture and governance across Snowflake, Microsoft Fabric, LiteLLM, and ServiceNow.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

As a Senior Associate, Data Analyst at Capital One, you will analyze datasets to support business strategies, communicate insights, and enhance decision-making through data visualization and stakeholder collaboration.

Design and maintain Azure DevOps CI/CD pipelines and automate deployment of Microsoft Fabric, Azure Data Factory, Synapse, Databricks, and Power BI. Implement IaC (Bicep/ARM), manage Azure environments, security, secrets, monitoring and logging, and collaborate with cross-functional teams to improve automation and platform delivery.

Support data integration, quality, analysis, and visualization efforts. Collaborate with cross-functional teams, build dashboards and reports (Tableau/Excel), perform exploratory analysis, and support data engineering and modeling to deliver business insights and recommendations.

Eight-month internship supporting data management and reporting within the Digital Product Management team. Collaborate with investment, trading, compliance, sales, HR and operations to gather requirements, document processes, produce BRDs/user stories, assist data analysis and reporting, and support deployment of data automation and reporting solutions. Gain exposure to Agile delivery and cross-functional project work.

Support stakeholders by profiling, mapping, and validating financial reconciliation datasets. Build complex SQL queries and Python workflows, and use Snowflake and Databricks to design, transform, and manage large-scale finance data for reporting, reconciliation, and analytics. Ensure data quality, perform root-cause analysis, and support governance and documentation.

The Lead Data Analyst role involves analyzing audience behavior and content performance, turning data into actionable insights, and supporting product strategy through data analysis.

Analyze complex datasets, build interactive dashboards, run predictive and statistical analyses, enforce data governance, automate reporting, and partner cross-functionally to deliver actionable insights.

Support transaction and sanctions monitoring programs by tuning alerts, designing analytical features, and optimizing data analysis processes to prevent financial crime.

Conduct market research and quantitative/qualitative analysis of investment funds and structured products. Collect, clean and maintain internal/external datasets, build dashboards and reports, monitor trends and risks, support policy projects and Division performance measurement, and present findings to management and external committees.

Lead BI analyst leveraging a modern data stack to deliver dashboards, automated reports, and AI-driven insights. Partner with stakeholders to define data needs, build Tableau visualizations, write complex SQL in Snowflake, and integrate Snowflake Intelligence/Claude to automate workflows and enable self-service analytics across the company.

Design, build, and govern Float's dashboards, metrics, and self-serve BI. Translate business questions into durable data products, validate dbt models, reduce ad-hoc requests, and use AI to scale analysis and accessibility for Finance, RevOps, GTM, and leadership.

Prepare and validate meter data for billing by executing VEE processes, reviewing exception reports, configuring new meters, investigating anomalies and customer inquiries, and supporting meter data collection and administration across AMR/meter technologies.

Lead HR data analysis, integrity, migration, and reporting for Workday and related systems. Define requirements, build custom reports, establish reporting governance, execute testing and release management, and train team members. Collaborate cross-functionally on integrations, system enhancements, and data assurance to enable HR decision-making and workforce planning.

Support international data initiatives by performing SQL-based analysis, producing insights and executive-ready scorecards, maintaining reporting/operational dashboards, coordinating incident management and operational readiness, and aligning cross-functional stakeholders to drive data-driven decisions across global markets.

Build and maintain analytics platform, dashboards, KPIs and data models. Perform data cleaning, troubleshooting, ad-hoc analysis, and partner with operations, product, and engineering. Spend time onsite in warehouses to inform metrics and reporting.

Analyze user behavior and product performance, create reports and dashboards, and provide data-driven insights to teams for decision-making.

Cygnus Professionals Inc. is hiring .NET Developers and other IT professionals to provide solutions and onsite services to customers.

Cygnus is seeking IT professionals for various roles including development, analysis, project management, and engineering to support their IT Solutions Division.

As an Analytics Lead, you will drive data-driven decisions, develop insights, engage with stakeholders, and manage performance for autonomous vehicle operations.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

Partner with the Self-Serve product team to measure and optimize the acquisition-to-engagement funnel. Build reusable datasets and dashboards, validate instrumentation, run deep-dive analyses and experiments, and translate insights into narratives for technical and non-technical stakeholders to inform product and go-to-market strategy.

As a Data Analyst Consultant, you will support analytics initiatives, collaborate with teams, build dashboards, and communicate insights effectively.

As a Data Analyst, you will analyze user behavior and product performance, creating reports and dashboards to aid decision-making and optimize user experience.