Top Data Analyst Jobs in Toronto

Supports the strategic management and use of Mastercard customer data and franchise assets. Develops reporting, insights, presentations, and recommendations; monitors data quality and asset utilization; supports go-to-market initiatives, technology adoption, requirements documentation, testing, and process improvements. Collaborates with regional, technology, franchise, and cross-functional teams to improve operational effectiveness, customer experience, and business outcomes.

Supports client analytics engagements through dataset analysis, dashboard and report development, KPI tracking, data validation, documentation, visualization, and communicating insights. Collaborates with senior analysts and data engineers while developing consulting, data modeling, reporting, and analytical workflow skills.

Analyze complex enterprise data and translate business needs into scalable reporting, dashboards, and business intelligence solutions. Lead discovery sessions, define analytical requirements and success metrics, write advanced SQL, develop self-service analytics using BI platforms, and communicate actionable insights to stakeholders. The role also applies data storytelling, process optimization, AI-enabled analytics, and emerging technologies to improve decision-making and operational performance.

The Data Analyst will translate business needs into scalable analytics solutions, develop dashboards and business intelligence using tools such as Looker or Tableau, write advanced SQL, analyze enterprise data, and communicate actionable insights. Responsibilities include leading discovery workshops, defining metrics, improving business performance through trend and root-cause analysis, supporting self-service analytics, using AI-enabled tools, and identifying opportunities for process and analytics innovation.

Staff Data Analyst responsible for raising analytical standards across the team, building user segments, improving dashboards and automated monitoring, and connecting behavioral insights to revenue, retention, cost, and growth goals. The role partners on experimentation, standardizes analytical methods, reviews complex work, mentors analysts, and communicates decision-ready narratives to senior stakeholders. Advanced SQL, Python, experimentation expertise, and strong user analytics skills are required.

Develop and maintain ETL/ELT data pipelines within a cloud-based data lakehouse architecture. Responsibilities include data transformation, software lifecycle participation, testing, documentation, third-level support, proof-of-concept development, operational reporting, and semantic-layer support. The role requires advanced SQL and Python/PySpark, experience with Spark, Delta Lake, Parquet, multiple databases, privacy-regulated data, and multi-cloud environments.

Analyze player behavior, product performance, revenue, retention, and engagement for Zynga Poker. Design experiments, dashboards, ETL pipelines, telemetry, fraud models, and business intelligence solutions. Partner with product, game design, economy, and consumer insights teams to guide decisions and improve player experiences. Contribute to AI-enabled analytics workflows, game integrity initiatives, and analytics best practices.

Maintains vendor master data across ERP systems, supporting supplier onboarding, data creation, maintenance, deactivation, issue resolution, synchronization, audits, and compliance. Produces KPI reports, dashboards, and analyses; identifies root causes and process improvements; maintains governance standards and documentation; supports data-loading tools; facilitates meetings; delivers training; and collaborates with suppliers, hospitals, and internal teams.

Supports data governance through master and transactional data maintenance, cleansing, validation, standards management, and issue resolution across ERP systems. The role gathers business requirements, coordinates data steward committees, monitors compliance, facilitates training, produces KPIs, reports, and dashboards, and recommends process improvements. It also serves as a subject matter expert and liaison for technical and non-technical stakeholders.

Supports client analytics engagements by analyzing data, building dashboards and recurring reports, tracking KPIs, validating data quality, documenting metrics, and communicating insights. Collaborates with engineers, analysts, product managers, designers, and stakeholders to translate business questions into analytical requirements and improve reporting workflows. The role also provides exposure to consulting, digital product development, AI, UX, and data governance.

Supports reporting production, data analysis, and analytics operations across the COR.IQ product portfolio. Develops and maintains SQL and Qlik queries, data extracts, scripts, and reporting enhancements; investigates data quality issues and operational anomalies; supports product onboarding and client requests; and provides backup coverage for the Data Analyst 3. The role also develops expertise in fraud analytics, reporting systems, product operations, and continuous improvement.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Supports data extraction, management, quality assurance, cleaning, validation, harmonization, statistical and qualitative analysis, and public health program evaluation. Develops analytic datasets and contributes to technical memoranda, reports, presentations, tables, and figures. Analyzes implementation measures and mixed-methods data, interprets findings, and recommends program improvements. Requires collaboration with government and public health stakeholders, use of Microsoft Office and CDC administrative systems, and the ability to obtain and maintain required customer clearance.

Analyze data and experiments, build metrics, dashboards, reports, pipelines, and data assets, and deliver actionable recommendations. The intern will assess product and business impacts through analytics and A/B testing, collaborate with multidisciplinary teams, communicate findings, and present work to stakeholders while learning from mentors.

Analyze General Motors’ social data to measure campaign performance, audience sentiment, brand health, and business impact. Produce recurring reports, dashboards, and campaign presentations; evaluate paid social content; conduct social listening; identify trends and risks; and provide data-backed recommendations for content calendars, posting cadence, and creative formats. The role requires collaboration with agency and client teams and native fluency in French and English with knowledge of Quebec culture.

Provides data management, analysis, reporting, database queries, data quality assurance, and integrity cleanup for group insurance, health benefits, and pension administration. Generates reports and meaningful data representations for management and executives, collaborates with business partners to define data requirements, and recommends solutions.

Own and improve operational metrics, dashboards, analytical datasets, data pipelines, and automated reporting for autonomous vehicle fleet operations. Analyze utilization, uptime, delays, downtime, readiness, mission performance, and commercial outcomes to identify root causes and improvement opportunities. Ensure data quality across systems, develop scalable workflows, and partner with Operations, Commercial, and Data Platform teams to deliver actionable insights and recommendations.

Develops and maintains financial and business reports, dashboards, and client reporting packages. Prepares, reconciles, and validates data from complex accounting systems, interprets trends and risks, and translates stakeholder requirements into reporting deliverables. Provides analytical support to lawyers, business services professionals, clients, and firm initiatives while documenting processes, reviewing other analysts’ work, and supporting reporting improvements using Excel, Power BI, SQL, and related tools.

Leads business analysis and governance activities across enterprise initiatives. Responsibilities include requirements gathering, process mapping, stakeholder workshops, portfolio intake, governance artifact maintenance, EDMO compliance, milestone monitoring, audit and compliance support, and continuous process improvement. The role partners with business, technology, and vendor teams to ensure initiatives meet governance, control, documentation, and reporting standards.

Supports onboarding of international research sites by mapping records to a LIMS schema, migrating legacy data, executing bulk imports and scheduled transfers, reconciling identifiers and vocabularies, monitoring data feeds, resolving failures, verifying data integrity, and training partner-site users. The role uses SQL, PostgreSQL, Python, and PHP for data transformation and supports scientific drug-discovery data integration.

Provide L3 production support for Salesforce Data Cloud and Loyalty Management platforms. Troubleshoot incidents, APIs, integrations, SQL queries, and upstream or downstream application issues; perform root cause analysis and resolve problems within SLAs. Manage critical incidents, coordinate stakeholders, and support ITIL-based incident and change processes. The role requires hands-on Data Cloud development, Apex, basic development skills, and rotational on-call support.

Build and maintain reports, dashboards, scorecards, and analytical outputs. Analyze large datasets and business trends across product, onboarding, operations, revenue, sales, and customer experience. Use SQL, Excel, and BI tools to validate data, identify issues, improve reporting, and provide actionable recommendations. Partner with stakeholders to define metrics, support reporting cycles, document data processes, and contribute to automation and modern data platform initiatives.

Develop and scale customer-facing analytics and reporting. Build dashboards, reports, and data tools; translate customer and business needs into data requirements; support product analytics and internal intelligence; resolve reporting issues; present insights to customers; and drive cross-functional data initiatives from problem definition through delivery.

Analyze and integrate transportation and ecommerce data across SQL Server, Oracle, IHUB, Snowflake, and enterprise warehouses. Build dashboards and reporting solutions, support data migration, improve data quality and governance, model processes, and deliver insights for courier capacity, service levels, cost reduction, and decision-making. Lead analytical initiatives using Agile and Waterfall methodologies while collaborating with ecommerce, supply chain, and external stakeholders.

Leads data migration and integration across SQL Server, Oracle, IHUB, enterprise warehouses, and Snowflake. Develops data models, pipelines, dashboards, and reporting using Power BI, ThoughtSpot, and Tableau. Supports ecommerce transportation and supply chain process improvement through analytics, simulation, stakeholder collaboration, project management, change initiatives, documentation, and business reviews. Acts as a liaison and subject matter expert to improve courier capacity, service levels, cost effectiveness, and decision-making.