Top Data Analyst Jobs in Toronto

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.

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.

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.

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.

Support building and maintaining ETL/ELT data pipelines, write and optimize SQL, monitor data quality, assist with platform maintenance and job scheduling, document data flows, and collaborate with analysts and engineers to meet stakeholder data requirements.

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 requirements discovery and translate business objectives into user stories, data requirements, source-to-target mappings, and acceptance criteria. Partner with Product Owner, data engineering, technology and stakeholders to prioritize backlog, support Agile ceremonies, validate deliveries, and enable reporting, analytics and AI-enabled solutions while maintaining risk, compliance and operational readiness.

Support RESL data governance and management by applying feature engineering, model interpretability, and model lifecycle management. Develop standardized workflows for compliance, write maintainable code (Databricks/Python), collaborate across teams, and drive process improvements to operationalize and monitor ML solutions.

Design, develop, and maintain reporting, dashboards, and data models to deliver financial and performance insights. Write and optimize SQL, ensure data quality, and partner with stakeholders to translate requirements into analytical solutions using BI tools and cloud data platforms.

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.

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.

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.

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

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.

Manage and maintain master data quality and governance within SAP S/4HANA. Support SAP MDG implementation, perform data maintenance via Fiori, run audits and remediation, provide user support and training, generate data quality reports, document requirements, and assist testing and implementation activities.

Analyze, document, and optimize end-to-end business and finance processes. Support data governance, measure process performance, remediate data issues, enable ERP/IBP integrations, drive testing/UAT, deliver training, and provide operational finance subject-matter support (GL, fixed assets, cost accounting, subledger). Collaborate with BPO, IT, and stakeholders to enable process improvements and transformation.

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.

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

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

Perform product-focused analyses and A/B tests to generate actionable insights; build dashboards and KPIs; ensure data quality; synthesize diverse data sources; present findings to stakeholders and senior leadership to guide product and business decisions.

Ensure market data integrity for Capital Markets Risk Management by detecting and resolving data issues, performing historical data analysis, documenting governance, automating controls, defining requirements for market data platforms, supporting UAT, and communicating impacts to risk managers.

Serve as the central data and reporting resource for Used Vehicle Sales Operations and Remarketing: extract, validate, and manage data; build and automate reports and dashboards; analyze pricing, residuals, and market trends; translate findings into actionable recommendations; maintain data governance and collaborate with cross-functional teams.

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