Analytics Engineer
The Analytics Engineer will design and maintain complex data models and pipelines within Snowflake using dbt. They will also leverage AI-driven insights and BI tools to provide actionable data analysis for cross-functional teams.
22 Analytics Engineer jobs in Canada available for remote work from home. Apply for positions such as Analytics Engineer, Senior Analytics Engineer, Senior Analytics Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Analytics Engineer will design and maintain complex data models and pipelines within Snowflake using dbt. They will also leverage AI-driven insights and BI tools to provide actionable data analysis for cross-functional teams.
The Senior Analytics Engineer will lead an analytics pod to define metrics, build analytical products, and ensure data rigor for product teams. They are responsible for scoping initiatives, managing tactical sprints, and maintaining high standards for data quality and documentation.
Design and maintain a robust, scalable Finance-grade data warehouse and semantic layer to support financial reporting and audit requirements. Partner with Finance and Accounting leadership to enforce data governance, reconciliation standards, and automated data quality controls.
Design and build scalable data models to power financial, GTM, and product analytics across the organization. Manage end-to-end pipeline health, drive systemic technical solutions, and mentor junior engineers.
Design and build scalable data pipelines and business-conformed dimensional data marts while supporting agentic tooling and self-service analytics. Contribute to data quality, governance, and security strategies while defining analytics engineering standards.
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Own and maintain the data transformation layer by building and reviewing SQL models, integrating and modeling source data, and ensuring data quality, governance, documentation, and reliability. Partner with engineers, analysts, and business stakeholders to translate business needs into trustworthy data products, resolve incidents, and improve the warehouse and its AI-enabled tooling.
The Analytics Engineer will build and maintain dbt models and AI-ready datasets to support business intelligence and data-driven decision-making. They will also partner with stakeholders to define key metrics and create Tableau dashboards to visualize data insights.
You will lead the evolution of the analytics engineering platform by building trusted, reusable data models and establishing technical standards. You will also partner with cross-functional teams to enable self-service analytics and improve data reliability across the organization.
You will design and maintain clean, scalable, production-grade data models while working across the full data pipeline from ingestion to visualization. You will collaborate with cross-functional teams including Finance, Engineering, and Sales to deliver reliable data solutions that support decision-making.
You will design and build data models for PlayStation games while collaborating with game studios and data analysts. Additionally, you will scale the analytics platform and implement technologies like dbt and airflow to ensure consistent and high-performance data pipelines.
You will design and maintain enterprise marketing data models and semantic layers while acting as a strategic bridge between business stakeholders and technical execution. Additionally, you will architect data ecosystems to support autonomous AI agents and ensure robust data governance across cloud platforms.
The role involves designing and maintaining robust data systems, semantic layers, and dashboards to enable self-service analytics. The candidate will collaborate with stakeholders to translate business needs into actionable insights and mentor junior analysts.
The role involves leading end-to-end analytics initiatives, setting standards for data models and pipelines, and partnering with Data Science and Product teams to solve complex monetization problems. You will also be responsible for architecting production-grade SQL pipelines and enabling self-serve analytics through high-quality dashboards.
You will own the data layer and design the analytics architecture, including a tiered platform for system of record, low-latency serving, and batch/ML processing. You will also be responsible for database performance, schema modeling, and implementing observability to ensure system reliability.
The Senior Analytics Engineer will build and scale the analytical foundation by transforming raw data into clean, trustworthy datasets for cross-functional teams. They will also design AI-ready data infrastructure and maintain semantic layers to support autonomous decision-making and AI-powered initiatives.
You will build and operate the core BI platform, owning data ingestion, integration, and architecture to support reporting and AI initiatives. Additionally, you will establish data governance standards, mentor analytics engineers, and ensure the reliability of data models and pipelines.
The Senior Analytics Engineer will build complex data infrastructure using dbt and Snowflake while implementing scalable ELT pipelines and governance frameworks. They will also provide technical guidance, conduct code reviews, and mentor junior team members to ensure high-quality data solutions.
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Lead the design, development, and implementation of SAP-based data and analytics solutions, focusing on SAC and S/4HANA. Create data models and professional dashboards to provide insightful data presentation for C-level executives and department heads.
You will own the end-to-end delivery of complex infrastructure projects and operate shared Elastic Cloud infrastructure using Infrastructure as Code. Additionally, you will participate in a 24/7 on-call rotation to resolve incidents and mentor less experienced engineers to improve team processes.
You will act as a technical expert for client-facing engagements, designing and delivering scalable data architectures on the Google Cloud Platform. The role involves collaborating with sales teams to guide enterprise clients through cloud adoption and managing technical discovery and proof-of-concept initiatives.
Build and operate core platform capabilities for Affirm's data infrastructure, focusing on reliability, self-service automation, and data governance. Develop integrations and next-generation AI-native data tooling to support large-scale analytical use cases.
You will lead the roadmap, architecture, and team responsible for the trusted data foundations that power 1Password’s business. This includes setting standards for data modeling, governance, and collaborating with cross-functional teams to support AI initiatives and decision-making.
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