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S.i. Systems
Int. Business Intelligence Engineer to develop AI-powered BI and predictive analytics solutionsS.i. Systems • Toronto
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Int. Business Intelligence Engineer to develop AI-powered BI and predictive analytics solutions

Int. Business Intelligence Engineer to develop AI-powered BI and predictive analytics solutions

S.i. Systems • Toronto
29 days ago
Job type
  • Full-time
Job description

Our financial services client is seeking a Intermediate Business Intelligence Engineer to develop AI-powered BI and predictive analytics solutions using Microsoft Fabric, Power BI, and Python/PySpark

Join a high-impact Business Intelligence team driving the evolution from traditional, dashboard-centric reporting toward advanced, AI-enabled analytics. This role leads the design and deployment of predictive, prescriptive, and diagnostic BI solutions that enable proactive decision-making across the enterprise. You’ll work within a collaborative, innovative data and technology environment in Toronto. This contract opportunity offers the chance to shape the client’s modern data platform and accelerate adoption of emerging AI capabilities.

Contract until Dec

Hybrid - 4 days Onsite (Downtown)

37.5 hours/week

Responsibilities

  • Design end-to-end BI solutions translating complex data into actionable insights using a “Call to Action” framework
  • Develop predictive, prescriptive, and diagnostic analytics using Microsoft Fabric Notebooks, Python/PySpark, and Power BI
  • Embed AI-powered analytics into dashboards leveraging Copilot for Power BI, Fabric Data Agents, and natural language interaction
  • Ingest and model data from multiple sources into Microsoft Fabric Lakehouse using Gen2 Dataflows and Python/PySpark
  • Configure and optimize Power BI semantic models for intelligent analytics experiences
  • Apply GitHub CI/CD and version control to manage Power BI assets and Fabric notebooks
  • Support BI adoption through documentation, demos, and enablement initiatives across technical and business teams

Must Haves

  • 5–7 years in Business Intelligence engineering focusing on advanced analytics
  • Proficiency in Power BI (Power Query, Power BI Service, Power BI Desktop, Tabular Editor, semantic model development)
  • Strong command of DAX for developing measures, calculated columns, and complex expressions
  • Proficient with Python and/or PySpark for predictive analytics and data transformation
  • Experience building semantic models in PowerBI
  • Bachelor’s degree in Analytics, Computer Science, Data Science, Information Technology, or related field

Nice to Have

  • Master’s degree in a related field
  • Familiarity with Microsoft Fabric AI capabilities such as Copilot for Power BI and Fabric Data Agents
  • Microsoft Co-Pilot Studio and Azure AI foundry - build agents
  • Exposure to agentic AI concepts and AI agent orchestration patterns
  • Experience with LLM cost optimization or scalable prompt design
  • Experience with analytics platforms such as Dataiku, Alteryx, Snowflake, or Databricks


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Int. Business Intelligence Engineer to develop AI-powered BI and predictive analytics solutions using Microsoft Fabric, Power BI, and Python/PySpark • Toronto

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