AI-Driven Analytics Specialist

Exchanger Industries Limited

Calgary

On-site

CAD 90,000 - 130,000

Full time

14 days+
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Job summary

Exchanger Industries Limited (EIL) is Calgary-based and Canada’s leader in custom heat transfer solutions. This role sits at the intersection of engineering execution and analytics, using Copilot, Power BI AI, and AI-assisted Excel to turn data into a storytelling narrative for leadership.

You will translate leadership questions into concrete analytics requirements, partner with IT on data access and security, and orchestrate outputs from multiple AI agents to deliver a single, validated view

Qualifications

  • Bachelor's degree or diploma in a relevant field is required.
  • 2–4 years in analytics, with business, engineering, or commercial focus.
  • Hands-on experience using AI tools for analysis and reporting (e.g., Copilot, Power BI AI, AI-assisted Excel).
  • Ability to translate business questions into buildable data requirements for developers.

Responsibilities

  • AI enablement & orchestration: accelerate report creation and narratives with AI while validating outputs for accuracy and context.
  • Orchestrate outputs across multiple AI agents and package findings for leadership.
  • Translate KPIs and questions into clear requirements for internal developers.
  • Collaborate with IT on data access, security, and scalable analytics solutions.

Skills

Analytical thinking
Business partnering
Clear communication
Problem solving

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, Business Management, or related

Tools

Microsoft Fabric/Azure data tools
Power BI
HubSpot CRM
SQL
APIs/Connectors

Job description

Exchanger Industries Limited (EIL) is Calgary-based and Canada’s leader in custom heat transfer solutions. This role sits at the intersection of engineering execution and analytics, using Copilot, Power BI AI, and AI-assisted Excel to turn data into a storytelling narrative for leadership.

You will translate leadership questions into concrete analytics requirements, partner with IT on data access and security, and orchestrate outputs from multiple AI agents to deliver a single, validated view

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