19 Analytics Manager jobs in Canada available for remote work from home. Apply for positions such as Senior Marketing Analytics Manager - BI & Data Architecture, Lifecycle Growth & Analytics Manager, Database Analytics Manager and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves designing and maintaining robust ETL pipelines and semantic layers in Databricks to enable self-serve BI and AI-driven workflows. You will also partner with marketing stakeholders to develop dashboards and perform deep-dive analyses to inform business strategy.
You will own the lifecycle strategy and operating rhythm across various customer journeys using data, experimentation, and AI. This involves building and improving customer programs across email, CRM, and direct mail while partnering with cross-functional teams to drive conversion and retention.
The Database Analytics Manager will lead the management and optimization of donor databases and fundraising systems to ensure data integrity and actionable insights. They will also mentor the Database Coordinator and collaborate with cross-functional teams to support fundraising strategy and organizational decision-making.
The manager is responsible for developing commercial growth strategies and delivering advanced business analytics to drive profitable expansion. They act as a trusted advisor to cross-functional teams, transforming complex data into actionable insights for executive leadership.
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Lead end-to-end analytics for first order and new business to provide actionable insights for sales leaders. Build scalable data models, AI tools, and reporting dashboards to track go-to-market performance metrics.
Lead and develop a team of analytics engineers to build a centralized, AI-ready data foundation and semantic layer. This hands-on role involves writing SQL/dbt code and partnering with cross-functional stakeholders to deliver scalable data products.
As the Manager Analytics, you will lead the Analytics Support team and define the analytical roadmap for the property insurance and restoration industries. You will collaborate with various teams to drive data-driven decision-making and improve business performance.
The role involves hands-on work with analytics and data systems, leveraging tools like SQL and Python to explore data, build metrics, and support experimentation, while also contributing to the AI training lifecycle and shaping ML-powered features. Responsibilities include collaborating with engineering and data science teams to ship customer-facing products and defining the analytics and ML product roadmap based on customer needs.
The Senior Manager of Marketing Analytics will own the end-to-end measurement of marketing performance, including attribution, funnel health, and pipeline forecasting. They will also integrate AI-driven insights into the marketing stack to automate reporting and improve decision-making for leadership.
The Senior Manager will lead the underwriting and credit risk validation sector, overseeing a team of quantitative professionals while personally executing complex model validations. They will also partner with cross-functional stakeholders to refine the enterprise-wide Model Risk Management framework and ensure regulatory compliance.
Lead and develop a team of embedded analysts across multiple live service game titles. Establish analytical standards and build tools to improve data insights and reporting automation.
You will own the vision, strategy, and execution for AI and analytics initiatives within the Avigilon platform. This involves bridging AI research with production-scale deployment while collaborating across teams to deliver intuitive user workflows.
The Manager leads the day-to-day delivery of data, dashboards, and analytical products to support conservation decision-making. They are responsible for managing a team of analysts, ensuring data quality, and partnering with the Director on strategic initiatives.
The Senior Product Manager will define and execute the product vision and roadmap for AI and analytics capabilities across the Intelex EHSQ platform. This includes translating customer needs into prioritized backlogs and collaborating with engineering and design teams to deliver intelligence-powered features.
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