Top Data Analyst Jobs in Toronto

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.

Build and maintain data structures, pipelines, reporting, visualizations, and data processes using data lake and Snowflake technologies. Ensure data quality, documentation, and usability while performing investigative analysis on large datasets. Collaborate cross-functionally to identify business problems, recommend solutions, and support end-to-end deployment. The role requires a quantitative bachelor’s degree, coding experience, SQL or dbt familiarity, and data pipeline experience.

Analyzes and maintains market data integrity for Capital Markets Risk Management. Responsibilities include reviewing historical data, identifying and resolving data issues, documenting governance procedures, supporting risk-factor onboarding, automating controls, defining system requirements, and conducting UAT. The role requires knowledge of statistics, time-series analysis, financial derivatives, market and credit risk, SQL, Python, and Excel in a hybrid Toronto environment.

Build production data pipelines, analytics tools, dashboards, semantic-layer assets, and automated workflows supporting Lyft Business sales and account teams. Define trusted metrics, analyze sales performance, identify account and territory insights, and translate findings into clear recommendations for technical and non-technical stakeholders. The role partners across Sales, Product, Finance, Legal, and leadership while influencing business decisions through accurate, actionable analysis.

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.

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.

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.

Leads advanced data analytics for Tribal healthcare initiatives, including data resource inventories, quality assessments, linkage analysis, predictive and prescriptive modeling, dashboards, and management reporting. Develops data standards, automation tools, and quality frameworks while ensuring federal compliance with FISMA, Section 508, and records management requirements. Coordinates cross-functional analytics projects, supports data infrastructure and sovereignty, mentors junior staff, and drives data-centric decision-making.

Performs Structured Finance security mappings, data quality controls, reconciliations, regulatory dataset validation, and data issue resolution. Maintains metadata, data dictionaries, and data lineage while supporting data governance and AI-ready initiatives. Collaborates with Data, Credit Operations, Technology, and global stakeholders to ensure accurate, complete, timely, and compliant ratings and regulatory data.

Maintain and validate equity, fixed-income, derivative, valuation, benchmarking, and securities data across investment systems. Manage scheduled data processes, deliver data-quality signoffs, investigate exceptions, resolve issues, and support investment teams with ad hoc analysis. Identify workflow improvements that improve efficiency, mitigate risk, and enhance service levels. Collaborate with operational and engineering teams while managing multiple projects and stakeholder requests.

Build and maintain business-facing analytical applications, Tableau dashboards, reports, and Cube semantic models. Develop production code in Python and JavaScript, query Amazon Redshift, manage Salesforce reporting, and implement data quality validation, governance, access controls, and row-level security. Collaborate with cross-functional stakeholders to translate business needs into reusable data products, support data-driven decisions, and deliver projects through Git-based workflows, code reviews, and CI/CD.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Build and maintain Power BI dashboards, data models, SQL queries, and Crystal Reports. Administer reporting infrastructure, validate data, document reporting processes, gather management requirements, and provide user training and support. The role also includes light HTML, CSS, and Bootstrap work, report embedding, presentation materials, version control with Git and GitHub, and collaboration with software developers on manufacturing and business systems.

Supports Odoo ERP master data management, data cleansing, validation, imports, sales order entry, and product record creation. Reviews engineering documents, develops structured datasets, documents procedures, and collaborates with engineering, operations, customer service, and business teams. The role also contributes to process improvement through AI tools, automation, scripting, and workflow enhancements.

Oversee enterprise data quality and pipeline health across Airflow, dbt, Microsoft Fabric, SYNQ, and Power BI. Translate business rules into quality checks, monitor alerts, coordinate issue resolution, manage thresholds and lineage, and maintain audit evidence supporting SOC 1 controls. The role also supports controlled overrides, manual file ingestion, documentation, stakeholder coordination, and reporting-impact analysis while partnering with data governance, engineering, analytics, risk, controls, and audit teams.

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 applications systems analysis and development for Big Data platforms. Partner with management to define enhancements, resolve complex issues, enforce coding/testing standards, coach mid-level developers, and ensure compliance and risk management.

Conduct product and user behavior analysis, define KPIs, build dashboards and models, and design and evaluate A/B and multivariate experiments. Partner with product, lifecycle, marketing, data, and engineering teams to generate insights, improve user experiences, inform feature launches, and support growth decisions.

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.

Analyze digital campaign data, identify trends and insights, develop recurring reports, collect data from multiple sources, and present recommendations to stakeholders. The role manages reporting timelines, supports digital strategy planning, collaborates with industry partners, and helps improve measurement processes. Candidates should be skilled in relational databases, data visualization, analytics, data cleaning, and problem-solving, with media and advertising technology experience considered an advantage.