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Quality Assurance Analyst (ID#5457)

New Value Solutions
Vancouver, CAN
Part Time
Mid
4 days ago
Power BISQLData ValidationTest StrategyAzure DevOpsJira
Free

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Role Overview

  • New Value Solutions, a national IT consulting company, is seeking a Quality Assurance Analyst to support business intelligence and analytics quality assurance.
  • This role will be responsible for establishing, maturing, and sustaining a formal QA function for Power BI reports, dashboards, data models, and related analytics products.
  • The successful candidate will develop QA standards, test strategies, regression test suites, release checklists, quality gates, and validation processes to ensure reporting solutions are accurate, reliable, traceable, auditable, and suitable for business use.

Responsibilities

  • Establish, mature, and sustain a formal QA function for Power BI reports, dashboards, data models, and related analytics products.
  • Develop and execute test strategies, test plans, and test cases for Power BI solutions.
  • Maintain QA standards, regression test suites, release checklists, and core QA deliverables to support consistent and reliable reporting.
  • Perform functional testing and regression testing across analytics components to confirm reporting solutions remain reliable for business operations, compliance reporting, resource optimization, and KPI monitoring.
  • Conduct end to end data validation, including source to report accuracy, to ensure reporting outputs support operational decisions, regulatory and compliance reporting, resource planning, and performance measurement.
  • Establish and enforce formal QA gates before release to support reliable business reporting, compliance readiness, and controlled deployment of analytics products.
  • Identify, document, prioritize, and track defects and issues using tools such as Azure DevOps, Jira, or equivalent platforms.
  • Collaborate with developers and technical teams to support timely resolution of defects.
  • Validate fixes and confirm issues are resolved before production deployment.
  • Validate data integrity and consistency across shared Power BI models and downstream reports.
  • Assess downstream impacts of changes to data models on dependent reports, dashboards, operational decision making, compliance reporting, resource planning, and KPI reporting.
  • Ensure high standards of data accuracy, completeness, consistency, and traceability to support operational decision making, audit readiness, resource allocation, and business performance reporting.

Requirements

  • Experience as a Quality Assurance Analyst, Data QA Analyst, BI QA Analyst, Business Intelligence Analyst, Data Analyst, or similar role supporting reporting, analytics, or data solutions.
  • Experience establishing or maturing QA processes, standards, templates, methodologies, quality gates, and release governance practices.
  • Experience testing Power BI reports, dashboards, semantic models, data models, or related analytics products.
  • Strong understanding of data validation and testing methodologies.
  • Strong SQL and data querying skills.
  • Experience validating data from SQL Server, ETL pipelines, semantic models, and Power BI reports.
  • Experience with data profiling and data quality assessment.
  • Understanding of data modelling concepts, including semantic models, relationships, and measures.
  • Understanding of DAX for validating measures and calculations.
  • Strong understanding of star schema and snowflake schema design.
  • Experience with test management and defect tracking tools such as Azure DevOps, Jira, or equivalent tools.
  • Ability to assess downstream impacts of data model changes on dependent reports and dashboards.

Preferred Requirements

  • Experience with Power Query (M).
  • Experience with Microsoft Fabric.
  • Experience supporting public sector, utility, infrastructure, regulatory, environmental, or compliance driven reporting environments.
  • Experience supporting QA for business operations, resource planning, performance management, or KPI reporting.
  • Experience developing reusable validation scripts, test automation approaches, or repeatable QA frameworks for analytics solutions.

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