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 marketing analytics and data strategy for B2B SaaS Marketing. Design measurement frameworks, own attribution, funnel and lifecycle analysis, forecasting, and marketing investment recommendations. Partner with senior marketing leaders and cross-functional teams to build data foundations, enable AI-assisted analytics, and mentor analysts to raise analytical standards.

Serve as the functional expert for SAP financial data, ensuring data integrity and alignment with P&L/Balance Sheet. Support SAP BW-IP planning, Power BI and BW reporting, troubleshoot complex issues, optimize BW data models, and enable integrations with modern data platforms like Databricks and OneStream.

Lead analytics for Zynga Poker by running A/B tests, building ETL pipelines and dashboards, analyzing player behavior, tuning game economy, and improving fraud/bad-actor models. Collaborate with product, design, and data science teams, contribute to AI/LLM initiatives, and maintain telemetry and BI tools to inform strategic decisions that impact millions of players.

Lead the RTB reporting sub-team to ensure accurate, reliable finance and compliance reports. Build repeatable processes, documentation, and automation; own stakeholder relationships; mentor juniors; and drive cross-functional reporting initiatives from definition through execution.

Support driver earnings and marketplace teams with SQL-driven analysis, reporting, and financial reconciliation. Provide insights, track product performance, support experiments, prepare leadership business reviews, and develop processes and playbooks to improve earnings products and reduce errors.

Analyze large datasets to produce dashboards, metrics, and insights supporting product, care, and business decisions. Build BI infrastructure, run A/B and multivariate tests, perform ad-hoc analyses and visualizations, and collaborate with stakeholders and data scientists to inform strategy and operations.

Elicit and validate stakeholder business needs, analyze data using statistical methods, build dashboards and reports, define business metrics, support ETL and data migrations (e.g., Workday, financial systems), identify new data sources, and work with scrum teams to deliver data products and insights.

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.

Design, prototype, and deploy advanced visualizations and machine learning models for segmentation, personalization, churn prediction, LTV forecasting, and marketing optimization. Partner with stakeholders to define problems, lead end-to-end data science projects, adopt emerging tools, improve analytics workflows, communicate insights to varied audiences, and mentor peers to set technical standards.

Drive data analytics for a warehouse design platform: clean and analyze large, messy supply chain datasets, identify repeatable patterns, build prototypes and visualizations, and translate insights into product features to automate manual spreadsheet work.

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 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.

Design and deliver Power BI dashboards and analytics on Ryder's Azure Data Lake to support supply chain decision-making. Perform ad-hoc analysis, build BI solutions, use ETL and SQL for data manipulation, collaborate with analysts and data scientists, and improve data integration and maturity.

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.

Support client teams by translating business questions into analytical requirements, performing exploratory analysis, building dashboards and reports, validating data quality, tracking KPIs, and communicating insights. Collaborate with engineers, data scientists, and product teams while developing consulting and analytics skills.

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.

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.

Build and maintain Power BI semantic models and Microsoft Fabric data pipelines from Salesforce and GTM systems. Deliver analyses that inform GTM decisions, reconcile data across systems, own metric definitions, and document lineage and runbooks. Provide ad hoc investigations and present findings to leaders.

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.

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

Lead product analytics for usage, activation, adoption, retention, and expansion. Define metrics, improve instrumentation, build reusable measurement frameworks, apply AI-first analytics workflows, design experiments and observational analyses, create monitoring/alerting, surface insights to influence product decisions, and mentor analysts.

Build and maintain financial and operational datasets and Power BI dashboards; map metrics across eCommerce and engineering sources; support AOP, ARR, pricing and retention modeling; run CI/CD pre-production checks, monitor processes, and partner cross-functionally with Finance, Marketing/Retention, and Product.