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Designs and deploys enterprise Power BI solutions, defining data models, DAX standards, and report architectures while collaborating with data engineering teams.
Design and maintain enterprise analytics solutions using Microsoft Fabric, Power BI, and Azure for a packaging distributor, supporting sales, pricing, procurement, and inventory decisions.
The Principal Data Analyst drives data-driven decision-making for Autodesk’s platform, defining success metrics, leading experiments, and building AI-assisted workflows to extract insights from large datasets. Focuses on product analytics, SQL/Python engineering, and scalable data products for cross-functional teams.
Develops and implements evaluation frameworks, manages KPIs, and analyzes qualitative/quantitative data using tools like R, SQL, and Microsoft Office to support clinical and organizational quality improvement in a mental health setting.
The Lead Power BI Developer will design, develop, and optimize enterprise-grade dashboards and semantic models while mentoring junior staff. The role requires advanced DAX and SQL skills to translate business requirements into scalable reporting solutions within a hybrid work environment.
The Lead Data Scientist will architect and develop AI models for digital dentistry, focusing on 3D computer vision, generative AI, and anatomical reconstruction. This hands-on leadership role involves transitioning R&D into production-ready systems and defining the technical roadmap for the company's AI platform.
The Senior Cloud Data Architect will lead the design of enterprise data lakes, warehouses, and cloud-native ecosystems while establishing standards for data governance and quality. The role involves providing technical leadership across cross-functional teams to deliver robust analytics solutions.
Design and build Power BI dashboards, Power Apps tools, and automated workflows to turn operational data into actionable insights for Elections Ontario.
The Land Data Scientist will collaborate with the Land Department to design, build, and maintain analytical solutions and AI pipelines using SQL, R, and Databricks. This role involves translating business opportunities into practical AI designs and supporting complex analytics initiatives to drive strategic decision-making.
The Senior Data Architect will lead the design, development, and governance of enterprise data and analytics solutions, focusing on cloud migration and data modeling. The role involves defining data standards and mentoring teams within a hybrid cloud environment.
The Machine Learning Engineer will develop and enhance ad systems, focusing on selection, ranking, and bidding models to improve the ads experience across Instacart's platforms.
The Clinical Information System Data Architect designs and maintains data infrastructure, including data warehouses and reports, to support Health PEI's clinical and administrative operations. The role involves working with the Cerner suite, managing BI projects, and collaborating with stakeholders to ensure data integrity and effective reporting.
The Senior Data Architect will lead the design and implementation of enterprise data and analytics solutions, including data lakes and cloud-native ecosystems, at ICBC. The role involves establishing architecture standards, driving cloud modernization, and mentoring teams to support business intelligence initiatives.
The Senior Data Architect will lead the design and implementation of the JIMS 3.0 Enterprise Data Warehouse for the Government of Alberta, focusing on data integration, modeling, and ETL development. This contract role involves migrating legacy reporting data marts into a modern, integrated architecture using T-SQL, Azure, and Kimball methodologies.
The Data & AI Solution Architect designs enterprise data models and conversational AI architectures using Databricks. The role involves creating reusable architecture patterns, promoting data governance standards, and guiding delivery teams in building scalable, trusted data products.
The Business Intelligence Analyst gathers and documents business requirements, translates them into functional specifications, and analyzes operational data to support project teams. The role requires proficiency in SQL, data analysis, and documentation tools like Jira and Confluence.
The Azure Databricks Architect will design and scale an enterprise Lakehouse environment, focusing on performance tuning, cost optimization, and data governance using Unity Catalog. The role involves collaborating with engineering and security teams to build robust, secure data pipelines within the Azure ecosystem.
This Data Analyst role involves automating and enhancing reporting processes using SAS and Power BI. The position is a 12-month contract based in Toronto with a hybrid work schedule.
You will own machine learning models end to end—from problem framing to production—across forecasting, classification, clustering, and LLM evaluation, while mentoring junior scientists and delivering data-driven storytelling for clients at a consulting firm.
The Senior Data Scientist will develop and monitor IFRS 9 and stress testing models for credit risk analytics, supporting RWA and Economic Capital functions. The role requires expertise in credit risk modeling and proficiency in SAS, Python, and SQL.
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