Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
About the role
- AI & Analytics Engineer I at Finning tasked with developing data models and AI agents. Collaborating with senior engineers and supporting Analytics Engineering initiatives.
Responsibilities
- Build and support AI agents using Copilot & Microsoft Foundry
- Assist in configuring and improving Copilot and Microsoft Foundry agents that automate clearly defined business tasks.
- Implement agent grounding using approved data sources (e.g., Azure AI Search) and predefined tools or actions.
- Follow established AI governance, safety, and documentation standards; validate agent behavior through testing and user feedback.
- Maintain prompts, configurations, and basic telemetry with guidance from senior team members.
- Build and maintain data models in Microsoft Fabric
- Develop and enhance curated gold-layer data models following provided designs, naming standards, and star schema principles.
- Implement data transformations using Fabric Pipelines, Dataflows, or Notebooks under supervision.
- Document table definitions, measures, refresh logic, and lineage according to team standards.
- Support data quality and validation activities
- Assist in implementing data quality checks, validation rules, and schema reviews.
- Investigate data issues using SQL, DAX, or Python with guidance; escalate anomalies and risks appropriately.
- Collaborate on requirements and solution delivery
- Participate in requirements discussions to understand business processes and analytical needs.
- Work closely with Data Engineering, BI, Platform, and Security partners to deliver assigned components.
- Contribute to documentation, change notes, and runbooks to support solution landing and supportability.
- Learning and skill development
- Build foundational knowledge in Microsoft Fabric, Power BI, Copilot, and AI agent patterns.
- Stay current with team standards, tooling updates, and recommended best practices.
- Actively incorporate feedback and lessons learned into day-to-day work.
Requirements
- 0–2 years of experience in analytics, data, software, or related roles (including internships or co-op experience).
- Foundational knowledge of SQL and data modeling concepts.
- Exposure to Microsoft Fabric, Power BI, Azure, or Copilot/LLM-based tools through education or hands-on projects.
- Familiarity with Git-based workflows, documentation, and peer review practices.
- Strong learning mindset and ability to follow standards and accept coaching.
- Diploma or Degree in Computer Science, Information Management, Analytics, Engineering, or a related field, or equivalent experience.
Benefits
- N/A
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