Top Data Analyst Jobs in Toronto

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.

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

Lead investment data governance by designing and operating data quality controls, reconciling and troubleshooting investment system data, administering reference/security master and pricing data, managing vendors, supporting front-office/trading applications, and participating in system releases and MDM activities to ensure accurate, timely data for investment decision-making.

The Data Analyst will analyze large datasets, collaborate with stakeholders, develop data processes, and support data-driven decision-making to improve business efficiency.

As a Data Analyst, you will support data migration initiatives by analyzing data structures, mapping source to target systems, and collaborating with stakeholders to document requirements and findings.

The Senior Marketing Data Analyst will analyze global marketing data to provide strategic insights, optimize campaign performance, develop customer segmentation models, ensure data governance, and support reporting through BI tools.

The Lead Financial Data Analyst manages financial instrument data collection, quality control, client inquiries, and operational risk compliance, while coaching others and improving processes.

As a Lead Financial Data Analyst, you will manage the collection, control, analysis, and distribution of financial data for clients, ensure compliance with SLAs, and guide process improvements.

The Marketing Data Analyst will design data models, implement analytics solutions, and deliver insights for marketing optimization. They will work across channels and support data-driven decision-making by partnering with teams and stakeholders, leveraging AI tools for efficient analytics.

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.

Partner with stakeholders to translate business questions into analytical frameworks, build interactive dashboards and reports, monitor KPIs, deliver insights to leadership, and collaborate with data engineering to ensure data quality and reporting requirements are met.

Design, build, and manage data pipelines, warehouses, and semantic models. Source and standardize data, ensure quality, and deliver analytics and reports. Collaborate with stakeholders and communicate technical methods to non-technical audiences, supporting mutual fund and market-based insurance product analytics.

The Business Intelligence Developer will create dashboards, optimize SQL pipelines, and provide data-driven insights for business decision-making using BI tools like Tableau and Google BigQuery.

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.

Perform descriptive and diagnostic analysis on claims data, design metrics and prototypes, query and prepare datasets (T-SQL/SQL/MySQL), extract/clean/reconcile data, and communicate findings to stakeholders to support business objectives.

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.

As a Data Analyst in People Analytics at Lyft, you'll manage data requests, build ThoughtSpot dashboards, and enhance insights using AI capabilities. You'll collaborate with HR to craft metrics and translate findings into actionable insights for leadership.

The Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

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

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

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.

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.