Top Data Analyst Jobs in Toronto

As a Lead Data Analyst for Marketing Analytics, you will develop measurement frameworks for SEO and LLM, create insights across the organic marketing funnel, analyze customer journeys using SQL and Python, and present findings to leadership to optimize growth strategies.

As a Data Analyst at 7shifts, you'll analyze data using SQL, build dashboards, collaborate on data needs, and present insights to drive business impact.

The Data Analyst at Lyft will analyze marketplace trends, improve driver earnings products, and provide actionable insights through data analysis and reporting for stakeholders.

As a Data Analyst, you will optimize the reporting ecosystem, focusing on SSRS and Power BI, ensuring data accuracy and driving modern analytics adoption.

As a Data Analyst in Business Intelligence, you will analyze data, develop insights, and provide recommendations to assist internal teams and improve decision-making processes within StackAdapt's advertising platform.

The Data Analyst will analyze datasets, create visualizations, generate reports, and collaborate with teams to provide actionable insights using Power BI and SQL.

The Data Analyst will analyze energy market data to forecast peak demand, improve forecasting models, and collaborate with cross-functional teams to optimize battery energy storage operations.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

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.

The Senior Data Analyst will deliver impactful analytics products by leveraging sales analytics expertise, building business intelligence and reports, and enhancing data literacy across the organization.

As a Junior Data Scientist, you will assist in developing and maintaining analytical workflows, building statistical models, and supporting data architecture in an actuarial environment.

The Product Analyst will analyze data to uncover trends, track metrics, build dashboards, and collaborate with various teams to drive data-informed decisions.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

Lead product analytics and experimentation: run proactive funnel and cohort analyses, design and analyze A/B/multivariate experiments, build KPIs, automated dashboards and models, and partner with product, marketing, data, and engineering to inform product releases and engagement strategies.

Lead delivery and support of data warehouse and investment performance platforms. Gather and document requirements, design complex reporting, partner with technology for integrations and changes, ensure data integrity and production issue resolution, and drive stakeholder change management and documentation.

Support master data setup, maintenance, and integrity across ERP and business systems. Execute data entry, cleansing, audits, and process improvements; analyze requests for accuracy; collaborate with cross-functional teams and escalate complex issues to the Global MDM Manager.

Lead end-to-end analytical initiatives: define metrics, design dashboards, perform deep-dive analyses and A/B tests, partner with stakeholders and data engineers, mentor junior analysts, and communicate insights to inform business decisions.

Accountable for delivering data management practices, developing reporting solutions, and ensuring high data integrity standards within pension operations.

The Data Analyst will transform complex production and payroll data into actionable insights, working with various teams to define metrics, track performance, and enhance data quality while fostering independent data exploration across the organization.

The Data Analyst will develop reports, analyze data, and present insights to support business functions, collaborating with stakeholders to gather requirements and ensure effective decision-making.

The HR Data & Analytics Analyst creates reports and insights to enhance decision-making and improve HR programs through data analysis and visualization.

The Senior Data Analyst will manage client-facing reports, ensuring data quality and building reliable analytics products while collaborating with various teams.

The Product Analyst will analyze product and customer data, define success metrics, build dashboards, and support data-driven decision-making across teams.

The Business Data Analyst will improve data quality in Commercial Banking by validating metadata, mapping data lineage, creating data rules, and providing business solutions.