Workforce Planning Analyst

Fortisbc; Burnaby; Híbrido; CAD 26 000 - 28 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work flexibility

Build QA standards from the ground up

Collaborative engagement across teams

Exposure to Power BI and SQL data Pip

Twenty hours weekly minimum

Resumo da oferta

FortisBC is seeking a detail-oriented QA Analyst for a 12-month contract to establish formal QA practice around enterprise analytics, Power BI dashboards, data models, and reports. The role focuses on data validation from SQL Server and ETL pipelines, with release gates and collaborative cross-team work in a hybrid setup.

The position emphasizes building QA standards, templates, and automated checks while partnering with business and technical teams to ensure compliance, performance, and

Qualificações

• Proven experience validating data models, ETL pipelines, and Power BI dashboards.
• Strong proficiency in SQL querying and data validation methodologies.
• Practical understanding of data modeling principles including star and snowflake schemas and DAX calculations.
• Hands-on experience with defect tracking and test management systems such as Azure DevOps or Jira.
• Analytical ability to assess downstream impacts of model updates and trace data inconsistencies.

Responsabilidades

• Create and execute comprehensive test plans, test cases, and regression suites for Power BI reports and semantic data models.
• Conduct end-to-end data validation from SQL Server and ETL pipelines through to analytical outputs.
• Establish and manage formal quality gates and release checklists prior to production deployments.
• Log, prioritize, track, and retest defects using tools such as Azure DevOps or Jira in coordination with developers.
• Verify data accuracy, calculation logic, and business rules across shared data models and downstream reports.
• Review business requirements and reporting specifications to confirm they are clear, testable, and aligned with operational goals.
• Identify opportunities for reusable validation scripts and testing process improvements to support consistent coverage.

Conhecimentos

Power BI dashboards

SQL querying

Data validation

Azure DevOps / Jira

Data modeling (star/snowflake)

Ferramentas

Azure DevOps

Jira

Descrição da oferta de emprego

Our Vancouver client is seeking a detail‑oriented Quality Assurance (QA) Analyst for an initial 12‑month contract to establish and sustain a formal quality assurance practice across enterprise analytics products. This role will partner with business and technical teams to ensure Power BI dashboards, data models, and reports meet high standards for operational reporting, compliance readiness, and performance management.

CA$18.85–CA$20.00 hourly

Full-time

Advantages

• Hybrid work flexibility combining remote work with scheduled in‑office collaboration
• Opportunity to build and establish formal QA standards, templates, and release gates from the ground up
• Collaborative engagement across multifaceted operational teams and technical developers
• Direct exposure to modern enterprise reporting environments including Power BI and SQL data pipelines
• Predictable part‑time schedule offering a steady minimum commitment of twenty hours weekly

Responsibilities

• Create and execute comprehensive test plans, test cases, and regression suites for Power BI reports and semantic data models
• Conduct end‑to‑end data validation from SQL Server and ETL source pipelines through to analytical outputs
• Establish and manage formal quality gates and release checklists prior to production deployments
• Log, prioritize, track, and retest defects using tools such as Azure DevOps or Jira in coordination with developers
• Verify data accuracy, calculation logic, and business rules across shared data models and downstream reports
• Review business requirements and reporting specifications to confirm they are clear, testable, and aligned with operational goals
• Identify opportunities for reusable validation scripts and testing process improvements to support consistent coverage

Qualifications

• Proven experience validating data models, ETL pipelines, and Power BI dashboards
• Strong proficiency in SQL querying and data validation methodologies
• Practical understanding of data modeling principles including star schemas, snowflake schemas, and DAX calculations
• Hands‑on experience with defect tracking and test management systems such as Azure DevOps or Jira
• Solid analytical capability to assess downstream impacts of model updates and trace data inconsistencies

Summary

If you are a quality‑focused analytics professional ready to make a significant impact on enterprise reporting solutions, we want to hear from you.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity‑seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non‑binary/gender non‑conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.