Top Data Analyst Jobs in Toronto

Analyze product and customer data to define metrics, build dashboards, measure feature performance, connect usage to revenue, and guide product, commercial, and go-to-market decisions. The role partners with Product, Engineering, Finance, Design, and Commercial teams, improves data quality, works with fragmented data, and promotes data-driven decision-making across the organization.

Owns complex analyses across acquisitions, inventory, conversion, operations, and financing. Builds models, metrics, experiments, dashboards, data models, and production pipelines using tools such as dbt, Airflow, and Snowflake. Partners with cross-functional stakeholders to turn ambiguous business questions into recommendations, communicates findings to leadership, and contributes to data governance and documentation.

Supports enterprise data management through data literacy, persona lifecycle management, communications, reporting, governance, and adoption initiatives. Develops training and executive materials, maintains SharePoint resources, produces dashboards and metrics, gathers business requirements, performs data profiling, investigates data issues, and supports data quality, lineage, metadata, lifecycle management, and risk mitigation. Partners with business and technology teams to implement data information management solutions and improve adoption of data and AI-enabled tools.

Analyze business and product data to support marketing initiatives, product development, forecasting, experimentation, reporting, and personalized recommendations. Build and optimize SQL and dbt data models, create Looker-based insights, monitor KPIs, design statistical experiments, and translate complex findings into actionable recommendations for technical and non-technical stakeholders. Partner closely with a Product Manager and cross-functional product team.

Owns custom data solutions by triaging client requests, assessing feasibility, querying and validating data in BigQuery, and building one-off dashboards or reports. Partners with Sales, Customer Success, Product, leadership, clients, and Engineering to scope work, communicate data limitations, present findings, define requirements, and hand off validated solutions for technical implementation.

Partners with clients and internal teams to analyze complex datasets, develop measurement strategies, conduct research and statistical analyses, and deliver actionable insights. Creates reports, dashboards, and recommendations supporting sales, marketing, optimization, and go-to-market decisions. Leads research and measurement activities, tracks market trends and KPIs, communicates findings clearly, and stays engaged with program operations through meetings and field ride-alongs.

Partners with clients and internal teams to develop data-driven strategies, measurement approaches, reports, and actionable insights. Collects, cleanses, transforms, models, and analyzes complex datasets using business intelligence and statistical tools. Leads standardized measurement, research, testing, and optimization initiatives, communicates findings through compelling reports, and supports sales and marketing objectives through market analysis and recommendations.

Develop scalable semantic data models, measurement strategies, executive dashboards, and product insights for Sales, TAM, Customer Success, Product, and Engineering teams. Own data lifecycle management, enable data tooling, educate stakeholders, support self-service analytics, and ensure privacy and governance. Translate business needs into technical requirements while partnering across teams to improve product, revenue, and customer success metrics.

Leads requirements gathering, data analysis, and financial data integration for transactional data warehouses. Translates finance and technical requirements into documented data transformation solutions, collaborates with multidisciplinary teams, supports testing, tracks delivery, and presents solutions to stakeholders. Requires extensive business analysis experience in finance or financial systems, strong ETL, SQL, data modeling, database, and ERP knowledge, plus excellent communication and project management skills.

Early-career Data Analyst in Manulife’s 18-month GRO Operations program. The role supports data analytics, automation, AI-enabled solutions, dashboards, data pipelines, governance, process improvement, and stakeholder requirements. Depending on placement, responsibilities may include data solution engineering, business analysis, or development using Power Platform, Azure, Python, and Power BI. The position involves end-to-end solution delivery, testing, communication, continuous improvement, and translating business needs into actionable insights and digital solutions.

Manage legal agreement and trade reference data for capital markets products, including accurate data capture, agreement-term codification, netting table maintenance, trade exception investigation, and QFC exemption management. Partner with Sales and Trading, Technology, Risk, Data Change Delivery, and other stakeholders to support global deal flow, meet strict service levels, improve processes, and mitigate operational, financial, regulatory, and reputational risk.

Gather, analyze, normalize, and validate disparate data files for upload into master data management systems. Support Purchasing, Sales, Sourcing, and Pricing with data guidance and analysis. Maintain product, vendor, customer, cost, and price files; identify automation opportunities; resolve data discrepancies and train or guide junior staff.

Own marketing analytics and measurement to improve acquisition, campaign performance, and marketing ROI. Lead multi-touch attribution, marketing mix modeling, A/B testing, incrementality studies, and KPI analysis. Partner with Marketing and Product to improve data quality, translate complex findings into recommendations, influence senior stakeholders, and coach peers on analytics practices.

Owns Simbe’s product data management and Arena PLM administration for robotic hardware programs. Responsibilities include authoring and driving ECOs, MCOs, and deviations through approval; maintaining item masters, BOMs, approved vendor lists, part lifecycles, and documentation integrity; enforcing revision, numbering, and change-control standards; and coordinating implementation with Engineering, Operations, Supply Chain, suppliers, and contract manufacturers.

Analyzes and improves end-to-end business and finance processes through data analysis, documentation, governance, and continuous improvement. Supports ERP and IBP transformations, process mapping, data quality remediation, UAT, change management, training, and stakeholder alignment. Monitors process performance, identifies root causes, translates business needs into functional requirements, and helps ensure financial data integrity, reporting alignment, and process adoption.

The Business Intelligence Analyst partners with finance and operational stakeholders to analyze complex data, identify trends and KPIs, and develop executive reporting. Responsibilities include data cleaning, governance, process improvement, reporting automation, and exploring new tools such as RPA. The role requires collaboration across business and IT teams, project management, troubleshooting data quality issues, and communicating insights to technical and non-technical audiences.

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.

Develop machine learning and advanced analytics models for algorithmic trading across multiple asset classes. Build predictive models and reproducible production pipelines, analyze large datasets, research techniques such as generative AI and deep learning, and communicate insights to trading, banking, and senior management stakeholders.

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

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.

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

Support client analytics initiatives through exploratory analysis, dashboarding, KPI tracking, recurring reporting, data quality validation, and insight communication. Translate business questions into analytical requirements, document metrics and processes, collaborate on data modeling and reporting layers, and identify workflow improvements. The role also provides exposure to digital consulting, product development, user experience, and data governance.

Owns advanced reporting, dashboards, data analysis, KPI development, ETL requirements, and data quality initiatives for internal stakeholders. The role delivers recurring and ad hoc reports, builds automated workflows, documents data definitions and processes, communicates insights to senior leaders, and supports BI sprint planning. Strong SQL, data visualization, stakeholder communication, and systematic data quality problem-solving are required.

Conduct research and analysis to develop and maintain data on U.S. government leadership and organizational structures. Responsibilities include advanced open-source research, data collection, quality analysis, discrepancy identification, workflow improvement, and cross-functional collaboration. The role requires strong analytical, project management, communication, research, and organizational skills, along with proficiency in Microsoft Excel and familiarity with documentation tools such as Jira and Confluence.