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Analytics Engineer
Krux Analytics Inc.. Design, develop, and maintain enterprise-scale Power BI semantic models (tabular) .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAzureCloudETL
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