32 Data Analyst jobs in Canada available for remote work from home. Apply for positions such as Data Analyst, Data Analyst - MARVEL Strike Force, Sr HR Systems & Data Analyst II and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Analyst will analyze complex datasets using MS Dynamics and Azure to generate actionable insights and support strategic business objectives. They will also develop data models and dashboards while collaborating with stakeholders to ensure data integrity and system optimization.
The Data Analyst will partner with cross-functional teams to turn data into actionable insights that improve player engagement, retention, and monetization. They will also own recurring business-health reporting and design analytics tracking for new features and live events.
You will serve as the primary subject matter expert for ADP Workforce Now, owning system configuration, data integrity, and technical integrations. Additionally, you will lead technical workstreams to automate processes and ensure People systems meet SOX and compliance requirements.
You will deliver decision-ready analysis across Sales, Marketing, and Client Success while building and maintaining dbt models and data marts. Additionally, you will contribute to the development of the Lighthouse BI-as-code platform and integrate agentic AI workflows into analytics processes.
The Go-To-Market Data Analyst will analyze marketing performance across channels and build reporting that connects marketing activity to sales pipeline and revenue outcomes. They will also partner with cross-functional teams to improve data quality, support annual planning, and develop data agents for marketing purposes.
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The Data Analyst will gather and interpret information to identify trends and support business decision-making through reports and dashboards. They will also modernize manual workflows by building automated systems and AI-enabled applications.
The role involves serving as a Delivery Account Lead to manage client projects, coordinate internal teams, and ensure high-quality execution of data solutions. You will analyze complex datasets to provide actionable marketing insights and present findings to client leadership teams.
The Senior Data Analyst will partner with cross-functional teams to define KPIs, track the customer subscription lifecycle, and conduct analyses to identify growth and retention opportunities. They will also design experiments, build interactive dashboards, and translate complex data into actionable business recommendations.
Analyze mobile user acquisition campaign data to identify trends and optimize performance metrics. Collaborate with cross-functional teams to build automated analytical workflows, dashboards, and scalable data models.
You will build and maintain the product analytics data foundation to enable self-service reporting, experimentation, and AI initiatives. You will also partner with Engineering and Product teams to define instrumentation requirements and standardize business logic across the organization.
You will partner with cross-functional teams to define KPIs, build scalable data models, and translate complex data into actionable product strategy. Additionally, you will own the analytics infrastructure and automate workflows to drive reliable, data-informed decision-making.
The Senior Data Analyst will own complex SQL/dbt modeling and build core financial datasets to support the Finance and Payments teams. They will also develop Looker dashboards to provide actionable insights and ensure data quality for critical financial decision-making.
You will own the inventories, playbooks, and access processes to ensure data systems remain audit-ready while building ETL pipelines and data architecture. The role involves collaborating with internal audit, risk, and engineering teams to improve data governance and provide technical guidance for audit requests.
The role focuses on ensuring data integrity by validating datasets and verifying query outputs across multiple storage technologies for a Knowledge Graph. It involves tracing root causes of data discrepancies and applying statistical methods to assess data quality and benchmark results.
The Data Analyst gathers, cleans, and maintains large volumes of contact centre data to enable data-driven decision-making and AI-enabled tools. They develop automated dashboards and reports to provide actionable insights into client journeys and service interactions.
The role involves owning end-to-end client delivery by designing data models and maintaining dashboards across various BI platforms. The analyst will translate client requirements into actionable reporting and manage data transformations using dbt.
The role involves owning end-to-end client delivery by designing data models and maintaining BI dashboards. You will translate client requirements into actionable marketing insights and manage data transformations using dbt.
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Design and deploy advanced analytical solutions, including machine learning models and visualizations, to power a global loyalty SaaS platform. Partner with stakeholders to translate business challenges into analytical problems and mentor peers on technical standards.
The Data Analyst will use AI-enabled tools and SQL/Python to generate insights that improve player engagement, retention, and monetization for Marvel Strike Force. They will own recurring business-health reporting and design analytics tracking for new features and experiments.
Act as the senior analytical partner to the Marketing organization to define performance metrics and influence investment decisions. You will build the data foundations for AI capabilities and provide strategic recommendations across Growth, Corporate Marketing, and Revenue Operations.
Act as a key analytical partner to the Marketing organization to improve performance understanding and data-informed decision making. Develop data foundations for AI and automation capabilities while collaborating across Growth, Finance, and Data Engineering teams.
Lead discovery workshops and stakeholder interviews to translate complex business needs into actionable requirements for data and AI solutions. Document current and future state business processes while defining KPIs and supporting data platform modernization initiatives.
Develop and manage standard reporting libraries and ad hoc analytical solutions to enhance clinical study data reporting. Analyze departmental operational metrics and support the integration of technical data reporting systems.
Lead the collection and analysis of operational and product data to drive strategy and growth across the acquiring platform. Design and maintain Tableau dashboards to provide visibility into KPIs and operational health for various stakeholders.
You will act as the analytical engine for the marketing team by building data frameworks, optimizing campaign performance, and maintaining a centralized marketing source of truth. You will also partner with cross-functional teams to analyze customer behavior, improve acquisition costs, and drive growth strategies.
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The Senior Data Analyst will trace issues through data pipelines or code, documenting findings and fixes in Jira tickets, while partnering with engineering and product teams to enhance data and code reliability, speed, and clarity. This role also involves fostering a culture of technical curiosity and leveraging AI tools to accelerate development and shipping processes.
The Senior Analyst will develop a deep understanding of business processes and data architecture to drive operational excellence. They will also create exploratory data models and ensure clear communication between the data office and business teams.
The Director Analyst will create high-quality, actionable research and market predictions while engaging with clients to solve complex data management challenges. They will also provide sales support, deliver presentations at conferences, and mentor junior team members to maintain Gartner's industry leadership.
You will build and maintain advanced predictive models and AI-first solutions to drive Go-to-Market strategy and customer lifecycle outcomes. You will also own end-to-end forecasting systems and collaborate with cross-functional teams to provide actionable insights for senior leadership.
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