Senior Business Analytics Lead
cooperequipment · Head Office - Mississauga, ON · Canada · On-site
Pay: CAD 110,000 – 130,000 a year
Posted Sep 11, 2026
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Build your Career at Cooper Equipment Rentals
We are looking for customer-oriented, motivated individuals to join our professional team.
Please note, to be considered for this position applicants should currently be residing in Canada and legally entitled to work.
Why Work with Us? Perks!
Competitive salary
Excellent benefit package with premiums paid by the company
RRSP Match
Safety-minded organization
Stable, year-round employment
Continuous training, learning and development opportunities
Fun-loving work environment with strong social responsibility
Role Overview
We are seeking a Senior Business Analytics Lead to turn important business problems into high-quality analytics solutions across Cooper Equipment Rentals. We are expanding an enterprise analytics environment on Microsoft Fabric, with OneLake, Lakehouse, Direct Lake semantic models, shared governance standards, and a growing semantic layer supporting enterprise reporting and AI-assisted analytics. You will work directly with business stakeholders to understand the decisions they need to make, challenge proposed approaches where appropriate, and determine what should be built. You will then help deliver the solution hands-on across data transformation, semantic models, and Power BI reporting, using AI tools such as ChatGPT and Claude to accelerate development while critically validating the result. This is a senior individual-contributor role with end-to-end ownership of analytics solutions; it is not a people-management position.
Key Responsibilities
Partner with business stakeholders to understand problems, decision needs, and analytical questions - not simply implement predefined report requirements.
Translate business problems into analytical solutions, defining the right measures, dimensions, business rules, comparisons, drill paths, and report experience.
Design and build enterprise semantic models and Power BI reports that are intuitive, reusable, performant, secure, and aligned to clear business definitions.
Use ChatGPT, Claude, and other AI tools to rapidly create, modify, refactor, document, and test analytics solutions while critically validating their output.
Work with source-controlled Power BI artifacts such as TMDL and PBIP/PBIR, alongside Git-based development and deployment practices.
Develop analytical transformations in Fabric using SQL, Fabric notebooks, Spark SQL, and PySpark where appropriate, partnering with data engineering on larger platform needs.
Design Direct Lake solutions and make sound choices between Direct Lake, Import, DirectQuery, and composite patterns based on business and technical requirements. Diagnose data, model, DAX, performance, security, and usability issues, including problems in AI-generated implementations.
Raise standards for analytics solution design, semantic modelling, metadata, documentation, security, testing, source control, and release management.
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