Analyst - Data Strategy and Analytics

Markham, ON, Canada

Full-time

Onsite

$69K/yr - $111K/yr

Entry Level

Enercare Inc. is one of Canada’s largest home and commercial services companies, servicing over one million customers across various provinces. The Analyst - Data Strategy & Analytics will support the development of business domain data products and collaborate with multiple teams to deliver insights and build foundational data assets that inform decision-making.

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Responsibilities

Support the development of domain data products by preparing datasets, assisting with semantic models, and contributing to reusable analytical assets
Build Power BI reports and dashboards that clearly communicate insights and support business decision‑making
Assist with semantic modeling using star schema concepts, dimensional modeling basics, and Fabric‑based modeling patterns
Work with Microsoft Fabric (Dataflows Gen2, Lakehouse, Warehouse) to ingest, transform, and prepare data for analysis
Use prompt engineering techniques to improve data exploration, documentation, and analytical workflows using AI copilots
Conduct data analysis to identify trends, patterns, and opportunities for improvement
Collaborate with business partners to understand requirements and translate them into analytical outputs
Support data governance activities including data quality checks, documentation, and metadata updates
Contribute to data storytelling through clear visualizations, summaries, and presentations
Learn from senior team members and grow your skills in analytics engineering, semantic modeling, and AI‑assisted analytics

Qualification

Required

Bachelor's degree in data science, computer science, mathematics, engineering, business analytics, or a related field
1–3 years of experience in data analytics, BI development, or a related role (co‑op or internship experience counts)
Hands‑on experience with Power BI, DAX, Power Query, and SQL
Exposure to the Azure data platform or Microsoft Fabric (or strong willingness to learn)
Foundational understanding of semantic modeling (star schema, fact/dimension concepts)
Interest or experience in prompt engineering for analytics tasks
Strong analytical and problem‑solving skills with attention to detail
Ability to communicate findings clearly to both technical and non‑technical audiences
Curiosity, willingness to learn, and enthusiasm for working in an agile, collaborative environment