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Analyst - Data Strategy and Analytics

$69.14k - $110.62k per year

Enercare Inc.

Enercare Inc. is one of Canada’s largest home and commercial services companies servicing over one million customers across Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, Quebec and New Brunswick. Enercare is the Experts at Home, operating under several brands including Enercare, HydroSolution, and Pioneer Plumbing & Heating.

A proudly Canadian-owned company, we are the Experts at what we do and deeply care about our customers. We value a diverse, collaborative culture, and take pride in our commitment to health and safety, and knowing our work serves and supports our communities every day. No matter your role, we invest in making sure you have opportunities to grow, learn, and become the Expert you want to be.

If you are ready to become one of our Experts, we would love to hear from you.

Role: Analyst - Data Strategy and Analytics

Status: Full Time

Reports to: Manager, Data Strategy & Analytics

Location: Markham

Compensation: $69,136 - $110,618

Please note that the compensation range listed includes base salary and potential incentive pay. Incentives such as bonuses are not guaranteed and depend on individual performance and company results. Actual compensation within the range will be determined based on skills, experience, and qualifications. Summary

The Analyst - Data Strategy & Analytics will be someone who is eager to grow their technical skills and contribute to the development of our business domain data products. In this role, you’ll work with Power BI, Microsoft Fabric, and the Azure data platform to support analytics solutions across the organization. You’ll collaborate with teams in call center operations, back‑office functions, finance, and marketing to deliver high‑quality insights and help build the foundational data assets that power decision‑making. You’ll also gain hands‑on experience with semantic modeling, data governance, and prompt engineering to support AI‑enabled analytics workflows.

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.

Qualifications

  • 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.

Enercare is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, national origin, religion, sex, age, sexual orientation, gender identity, citizenship, marital status, disability, pregnancy, military status, protected veteran status or other characteristics protected by applicable law. Enercare’s recruitment process includes accommodation for applicants with disabilities in accordance with applicable provincial accessibility laws and regulations. All accommodations will take into account the applicant’s accessibility needs due to disability and are available upon request.

Our company leverages artificial intelligence (AI) tools as part of the candidate screening process to help review applications efficiently and fairly. These tools may assist in evaluating qualifications against job requirements. All decisions regarding hiring are ultimately made by our recruitment team. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

Vacancy posted 20 hours ago
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