Senior Analytics Engineer — Power BI & Microsoft Fabric

SHI International Corp.

Austin (TX)

Hybrid

USD 125,000 - 140,000

Full time

14 days+

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Job summary

SHI International Corp. in the United States seeks a Sr. Software Engineer - Analytics Engineering to design, optimize, and maintain enterprise-grade Power BI semantic models and analytics assets. You will work with DAX, Tabular Editor, and Microsoft Fabric to deliver scalable insights across the organization.

This hybrid role reports to Austin, TX or Somerset, NJ, requires collaboration with data engineers, analysts, and stakeholders, and emphasizes data quality, governance, and performance.

Qualifications

  • 5+ years developing Power BI solutions, including semantic models and enterprise analytics assets.
  • Experience with Microsoft Fabric, semantic models, and analytics workloads.
  • Strong analytical, troubleshooting, and collaboration skills.
  • Familiarity with Agile delivery practices and version control.

Responsibilities

  • Design, build, and maintain Power BI semantic models and datasets.
  • Develop advanced DAX measures and calculations to support complex business logic.
  • Ensure models are scalable, high-performing, and aligned with enterprise standards.
  • Optimize models within Microsoft Fabric including refresh processes and architecture.
  • Collaborate with data engineers, analysts, and stakeholders to deliver trusted analytics solutions.

Skills

Analytics engineering
Semantic modeling
DAX
Power BI
Microsoft Fabric
AGILE
Communication
Collaboration
Performance optimization
Data governance

Education

Bachelor's degree in Computer Science or related field

Tools

Tabular Editor
DAX Studio
ALM Toolkit
GitHub

Job description

SHI International Corp. in the United States seeks a Sr. Software Engineer - Analytics Engineering to design, optimize, and maintain enterprise-grade Power BI semantic models and analytics assets. You will work with DAX, Tabular Editor, and Microsoft Fabric to deliver scalable insights across the organization.

This hybrid role reports to Austin, TX or Somerset, NJ, requires collaboration with data engineers, analysts, and stakeholders, and emphasizes data quality, governance, and performance.

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