About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.

 

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:

• Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

• Continuous professional growth and leadership opportunities.

• Health, wellness, and financial benefits to offer peace of mind to you and your family.

• World-class facilities and the technology you need to thrive – in our offices or yours. 

Job Summary

We're seeking a Senior Analytics Engineer with equal strengths in data architecture and visualization to design and operationalize the data foundation powering revenue analytics.

This role combines technical depth with precision design – building the semantic and data models that enable accurate, analytics-ready insights, and contributing to Power BI dashboard development selectively for complex or leadership use cases. You'll partner closely with enterprise BI, sales operations, and cross-functional SOS teams to align on ingestion, transformation, and quality standards that support scalable, unified reporting across the revenue ecosystem.

Your work will directly support the newly combined ITAM, FinOps, and MSAG organization, known as Spend Optimization Services (SOS).

Role Description

Analytics & Visualization 

• Define and maintain visualization frameworks, UI/UX standards, and reporting templates in Power BI. Hands-on dashboard development may occur selectively based on business needs. 

• Build and maintain semantic models and shared datasets, to ensure consistency and self-service capability within Power BI. 

• Establish and document data visualization standards, naming conventions, and dashboard governance practices to maintain consistency across the organization. 

 

Analytics Engineering & Data Architecture 

• Design, build, and maintain the SOS Revenue Intelligence data architecture – delivering clean, reliable, analytics-ready datasets while automating recurring data tasks. 

• Develop and optimize semantic and gold-layer data models, ensuring front-end visualizations load and refresh quickly. 

• Implement and maintain CI/CD pipelines and GitHub or Azure DevOps version control for analytics assets and dashboards. 

• Partner with enterprise BI team to align on ingestion, transformation, and quality standards across shared data environments. 

• Ensure data architecture and models are scalable, well-documented, and comply with data governance best practices. 

Behaviors and Competencies

• Communication: Can lead and model exceptional communication at all levels of the organization, develop and implement communication strategies, and coach others to improve their communication skills

• Adaptability: Can drive strategic transformations, inspire others to embrace change, and foster a culture of continuous adaptation

• Collaboration: Can lead complex team projects, inspire others to collaborate effectively, and foster a culture of mutual respect and shared purpose

• Time-Management: Can consistently achieve goals ahead of schedule, lead team effo