Business Intelligence Specialist

Lifemark Health Group•Toronto, ON

4d•CA$90,000 - CA$120,000•Hybrid

About The Position

Lifemark Health Group (LHG) is a market leader in customized healthcare solutions with over 20 years of service excellence. As one of the largest and most trusted providers in Canada, LHG employs over 5,000 professionals in nearly 400 locations nationwide. The company is committed to being the most innovative healthcare provider in community rehabilitation, workplace health and wellness, and medical assessment services. Lifemark was acquired by Loblaw Companies on May 10, 2022. This net new role for a BI Specialist is within the BI, AI and Data team, focusing on enhancing the quality, consistency, and trustworthiness of reporting and self-service analytics across the organization. The BI Specialist will define the standards upon which the BI function is built.

Requirements

6+ years of experience in BI, analytics, or reporting roles
Deep hands-on experience with Power BI, DAX, Power Query, and data modeling
Strong understanding of BI governance, standards, and quality frameworks
Experience reviewing, mentoring, or upskilling analytics teams
Strong communication skills and ability to work cross-functionally

Nice To Haves

Experience enabling self-service analytics is a strong asset
Healthcare or enterprise analytics experience is an asset

Responsibilities

Establish BI Standards and Quality: Define and enforce development standards across Power BI, DAX, Power Query, and data modeling. Set a clear quality baseline for production-ready reports and datasets. Review and assess existing reports to improve consistency and reliability.
Enable Trusted Reporting and Metrics: Build and maintain a governed report and metric catalog. Standardize metric definitions across the business. Implement peer review and sign-off before reports are released. Support structured retirement of low-quality or unused reports.
Upskill and Enable the BI Team: Coach and mentor BI developers and analysts. Run training sessions to raise technical depth and best practice adoption. Act as a trusted reviewer and standards authority within the BI pod.
Support Scalable Self-Service Analytics: Establish a self-service framework built on trusted, governed assets. Help balance flexibility for business users with strong governance. Enable analytics to scale without sacrificing quality or credibility.