Analyst - Data Strategy and Analytics

About Enercare

Enercare Inc. is among Canada’s biggest providers of home and commercial services, supporting more than one million customers across Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, Quebec, and New Brunswick. The company operates as the Experts at Home through brands such as Enercare, HydroSolution, and Pioneer Plumbing & Heating. As a Canadian-owned organization, Enercare places strong emphasis on customer service, community impact, workplace safety, and a collaborative, diverse culture. The company also focuses on helping employees grow their skills and build long-term careers.

Role Overview

This full-time, on-site Analyst role in Data Strategy and Analytics is based in Markham and reports to the Manager, Data Strategy & Analytics. The position is centered on supporting business domain data products, analytics solutions, and decision-making across the organization. The work involves Power BI, Microsoft Fabric, and the Azure data platform, along with opportunities to build expertise in semantic modeling, governance, and AI-assisted analytics.

The stated compensation range is $69,136 to $110,618. This range includes base pay along with possible incentive compensation. Any bonus or incentive payment is not guaranteed and depends on individual performance and company outcomes. Final pay within the range will be based on the selected candidate’s skills, experience, and qualifications.

What You Will Do

• Help develop domain data products by preparing datasets, supporting semantic models, and building reusable analytical assets.
• Create Power BI reports and dashboards that present insights clearly and support business decisions.
• Assist with semantic modeling using star schema principles, dimensional modeling basics, and Fabric-oriented modeling approaches.
• Use Microsoft Fabric tools such as Dataflows Gen2, Lakehouse, and Warehouse to collect, transform, and organize data for analysis.
• Apply prompt engineering methods to improve data exploration, documentation, and analytics workflows with AI copilots.
• Analyze data to uncover trends, patterns, and improvement opportunities.
• Partner with business stakeholders to gather needs and convert them into analytical deliverables.
• Support governance activities by carrying out data quality checks, maintaining documentation, and updating metadata.
• Contribute to data storytelling through effective visualizations, summaries, and presentations.
• Learn from experienced colleagues while developing skills in analytics engineering, semantic modeling, and AI-enabled analytics.

Requirements

• A bachelor’s degree in data science, computer science, mathematics, engineering, business analytics, or a closely related discipline.
• 1 to 3 years of experience in data analytics, BI development, or a similar role; co-op and internship experience is also acceptable.
• Practical experience with Power BI, DAX, Power Query, and SQL.
• Exposure to Azure data technologies or Microsoft Fabric, or a strong readiness to learn them.
• Basic knowledge of semantic modeling, including star schema and fact/dimension concepts.
• Interest in or experience with prompt engineering for analytics tasks.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Ability to explain findings clearly to both technical and non-technical audiences.
• Curious, adaptable, and comfortable working in an agile, team-oriented environment.

Additional Information

Enercare is an equal opportunity employer and considers all applicants without regard to race, colour, ancestry, national origin, religion, sex, age, sexual orientation, gender identity, citizenship, marital status, disability, pregnancy, military status, protected veteran status, or any other status protected by law.

The company provides accommodation for applicants with disabilities throughout the recruitment process in line with applicable provincial accessibility laws and regulations. Accommodation requests will be handled based on the applicant’s accessibility needs and can be made on request.

Enercare also uses artificial intelligence tools during candidate screening to help review applications efficiently and fairly. These tools may support the assessment of qualifications against the role requirements, while final hiring decisions remain with the recruitment team.

All roles listed are open opportunities that the company is actively recruiting for unless stated otherwise.