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Krux Analytics Inc.

Analytics Engineer

Krux Analytics Inc.

. Design, develop, and maintain enterprise-scale Power BI semantic models (tabular) .

Posted 11/3/2026full-timeCalgary • CanadaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing enterprise-scale Power BI semantic models and scalable data architectures for multi-tenant SaaS analytics. Proficient in optimizing model performance and providing technical guidance on analytics best practices.

Highest-signal resume keywords
Power BI Data ModelingData Architecture SolutionsTabular EditorAzure Cloud Data ServicesETL and Data Pipeline Improvements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Analytics DevelopmentDAX CalculationsDataset DesignModel TuningPerformance OptimizationMulti-Tenant Web ApplicationsAnalytical Database PerformanceData GovernanceLifecycle ManagementCloud Environments
Soft Skills
Attention to DetailCritical ThinkingProblem-Solving
Tools & Technologies
Power BI ServicesGitAzure DevOpsVisual StudioJira
Industry Keywords
Energy SectorDrilling SectorMining Sector

Tech Stack

Tools & technologies
AzureCloudETL

About the role

Key responsibilities & impact
  • Design, develop, and maintain enterprise-scale Power BI semantic models (tabular)
  • Architect scalable and high-performance data models for multi-tenant SaaS analytics
  • Define best practices for dataset design, governance, and lifecycle management
  • Optimize model performance, DAX calculations, aggregations, and storage strategies
  • Manage and enhance Power BI service environments, including workspaces, deployment pipelines, and security
  • Monitor and improve analytical database performance in cloud environments
  • Conduct model tuning and capacity optimization to support growth and usage scaling
  • Evaluate and enhance the current analytics platform architecture
  • Partner with teammates on ETL and data pipeline improvements
  • Provide technical guidance on semantic layer design and analytics best practices
  • Support cross-functional stakeholders with scalable reporting architecture
  • Assist with high-priority analytics platform issues
  • Report to the Software Development Manager

Requirements

What you’ll need
  • Bachelor’s Degree (Computer Science, Technology, Engineering, or related field)
  • 10+ years of experience as a data analytics developer or engineer
  • 5+ years of experience developing data architecture solutions using Tabular Editor is highly desirable
  • Experience in the energy, drilling and/or mining sector is an asset
  • Experience with databases for high performance, multi-tenant web applications is necessary
  • Familiarity with Azure cloud data services
  • Experience with development tools including Git, Azure DevOps, Visual Studio, and Jira
  • Understanding of modern data development technologies, including data engineering, pipeline, and ETL
  • Expert in Power BI data modeling and Power BI services
  • Strong attention to detail, critical thinking, and problem-solving skills

Benefits

Comp & perks
  • Hybrid work schedule
  • Flexible hours
  • Work-life balance
  • Mentorship and professional development through continuous learning
  • Collaborative and inclusive work environment
  • Equal opportunity workplace