Data & Business Intelligence (BI) Analyst

Hopewell Residential

Calgary

On-site

CAD 80,000 - 110,000

Full time

3 days ago
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Job summary

Hopewell Residential is seeking a Data & BI Analyst in Calgary to lead Power BI reporting and Microsoft Fabric administration. You will develop dashboards, reports and data models, partnering with business teams and IT to enhance data quality and reporting capabilities.

You will drive data governance, collaborate on data integrations, and document enterprise data structures while supporting a dynamic technology environment within our on-site Calgary office.

Qualifications

  • Post-secondary education in data analytics, computer science, information systems, business intelligence or related field.
  • 4–6 years of experience in business intelligence, reporting or analytics, including at least 3 years developing Power BI reports and semantic models in a production environment.
  • Advanced Power BI skills, including dimensional modelling, DAX, Power Query (M), report design and Power BI Service.
  • Experience managing Power BI or Microsoft Fabric workspaces, refresh schedules, gateways, deployment pipelines, application publishing and row‑level security.
  • Hands‑on Microsoft Fabric experience, or Power BI Premium capacity experience with the ability to quickly develop Fabric expertise.
  • Strong working knowledge of SQL, relational databases and data modelling principles.
  • Experience validating and reconciling data across systems and troubleshooting complex reporting issues.
  • Strong analytical, problem‑solving and organizational skills, with exceptional attention to detail.
  • Ability to document technical processes and communicate effectively with both technical and non‑technical audiences.

Responsibilities

  • Power BI Reporting & Analytics: Design, develop and maintain Power BI reports, dashboards and semantic models that translate business requirements into accurate, actionable insights.
  • Microsoft Fabric & Platform Management: Manage day-to-day Fabric and Power BI operations, including workspaces, refresh schedules, gateways, deployments and publishing.
  • Data Management & Collaboration: Develop and maintain reusable data models, standardized reporting definitions and documentation of enterprise data structures and relationships.

Skills

Power BI
SQL
Data analytics
Data modelling
DAX
Governance

Education

Data analytics/CS/IS/BI degree

Tools

Power BI
Microsoft Fabric

Job description

Posting Details
    • Posted on October 28, 2026
Locations

Showing 1 location Calgary, AB, CAN

  • On-site
  • Corporate
  • Full-Time
  • Requisition #: DATAB001051
Description

Title: Data & Business Intelligence (BI) Analyst
Employment Type: Full-Time
Location: Calgary, AB
Reporting To: Senior Manager, Innovation & Technology

Hopewell Residential Management LP (“Hopewell”) has been one of Alberta’s leading home builders and community developers for more than 30 years. We’re in the business of building a better tomorrow – one person, one home, one neighbourhood at a time. That means we prioritize customer needs and wants through operational excellence, thoughtful product design and customer service excellence. With our collaborative, thoughtful, efficient, and accountable approach, alongside our ESG practices , world‑class team and incredible workplace culture, Hopewell is a true real estate leader.

About the Role

At Hopewell Residential, we believe reliable data and meaningful insights are essential to making informed business decisions. As our Data & Business Intelligence Analyst, you'll play a key role in strengthening how we manage, understand and use data across the organization.

You’ll take ownership of our Power BI reporting and Microsoft Fabric environment, developing dashboards, reports and data models that deliver accurate, accessible and actionable information. Working closely with business teams, internal technology partners and external specialists, you’ll help improve data quality, strengthen reporting capabilities and support our evolving technology environment.

What You’ll Do

Power BI Reporting & Analytics

  • Design, develop and maintain Power BI reports, dashboards and semantic models that translate business requirements into accurate, actionable insights.
  • Build and optimize DAX measures, Power Query transformations and data models to improve reporting accuracy and performance.
  • Validate reporting outputs, investigate discrepancies and troubleshoot issues across data sources, models and reports.
  • Support Power BI users through troubleshooting, guidance and training while maintaining clear reporting documentation.

Microsoft Fabric & Platform Management

  • Manage day-to-day Microsoft Fabric and Power BI operations, including workspaces, refresh schedules, gateways, deployments and application publishing.
  • Monitor platform performance, capacity and costs, identifying opportunities to improve efficiency and reliability.
  • Maintain security within semantic models, including row-level security, and coordinate access requirements with Information Systems.
  • Establish and maintain platform standards, documentation and best practices while evaluating new Microsoft Fabric capabilities.

Data Management & Collaboration

  • Develop and maintain reusable data models, standardized reporting definitions and documentation of enterprise data structures and relationships.
  • Use SQL to validate and reconcile data, investigate data quality issues and support resolution with system owners.
  • Collaborate with business teams, internal technology partners and external specialists on data integrations, system changes and reporting improvements.
  • Support data governance initiatives, including data quality, consistency, documentation and reporting standards.

About You

You’re analytical, technically curious and passionate about turning complex data into reliable, meaningful information. You enjoy getting into the details, investigating issues and finding practical solutions that improve how people work with data.

You’re comfortable taking ownership of reporting solutions while collaborating with colleagues across different departments. You communicate technical concepts clearly, stay organized when managing competing priorities and take pride in delivering accurate, well‑documented work.

You Also Bring:

  • Post‑secondary education in data analytics, computer science, information systems, business intelligence or a related field, or an equivalent combination of education and experience.
  • 4–6 years of experience in business intelligence, reporting or analytics, including at least 3 years developing Power BI reports and semantic models in a production environment.
  • Advanced Power BI skills, including dimensional modelling, DAX, Power Query (M), report design and Power BI Service.
  • Experience managing Power BI or Microsoft Fabric workspaces, refresh schedules, gateways, deployment pipelines, application publishing and row‑level security.
  • Hands‑on Microsoft Fabric experience, or Power BI Premium capacity experience with the ability to quickly develop Fabric expertise.
  • Strong working knowledge of SQL, relational databases and data modelling principles.
  • Experience validating and reconciling data across systems and troubleshooting complex reporting issues.
  • Strong analytical, problem‑solving and organizational skills, with exceptional attention to detail.
  • Ability to document technical processes and communicate effectively with both technical and non‑technical audiences.

The Following Would Be Considered Assets:

  • Experience with Microsoft Fabric data engineering tools, including lakehouses, warehouses, data pipelines, Dataflows Gen2 or notebooks using PySpark or Spark SQL.
  • Microsoft certifications such as PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).
  • Familiarity with Git integration, Tabular Editor, DAX Studio, ETL/ELT processes or APIs.
  • Exposure to emerging Microsoft Fabric capabilities, including Fabric IQ, data agents or Copilot in Power BI.
  • Experience working with ERP, CRM or Salesforce data, including large historical datasets or legacy systems.
  • Previous experience in residential construction, real estate or a similarly complex operational environment.
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