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

The Associate Analytics Engineer - Data & Visualization supports the development, maintenance, and continuous improvement of dashboards, reporting solutions, and data models that enable business teams to make informed, data‑driven decisions. This entry‑level role is designed for early‑career professionals looking to build a strong foundation in analytics engineering, business intelligence, and data visualization within a modern, cloud‑based data environment.

Working closely with senior team members, this role helps transform raw data into trusted, actionable insights while learning best practices related to data modeling, dashboard design, governance, and analytics delivery. This position directly supports the newly combined ITAM, FinOps, and MSOS organization, known as Spend Optimization Services (SOS).

Role Description

Dashboard & Visualization Support

• Support the development and maintenance of dashboards and reports using tools such as Microsoft Power BI

• Assist with implementing dashboard enhancements, bug fixes, and usability improvements

• Help ensure dashboards are visually clear, intuitive, and aligned with established reporting standards

• Validate dashboard data accuracy and support testing activities prior to releases

• Support recurring reporting and respond to ad hoc data requests from business stakeholders

Data Engineering & Transformation Support

• Assist in building and maintaining datasets, transformation logic, and curated reporting tables

• Support data quality validation and troubleshooting across reporting pipelines

• Learn and apply analytics engineering best practices related to data structures, naming conventions, and governance

• Help maintain documentation for datasets, business rules, and KPI definitions

• Support the broader analytics architecture across platforms such as Microsoft Fabric, SQL‑based environments, and cloud data platforms

Analytics Operations & Delivery

• Participate in sprint planning, backlog refinement, and regular status updates

• Track work and updates using project management tools such as Asana

• Collaborate with senior analytics engineers and analysts to support project delivery timelines

• Assist with production support and issue resolution for dashboards and reporting solutions

• Learn how analytics solutions integrate with enterprise business processes and workflows

What Success Looks Like

• Produces accurate, reliable, and well‑structured reporting outputs

• Demonstrates curiosity, initiative, and continuous learning in analytics engineering concepts

• Contributes positively to team collaboration and delivery goals

• Builds stronger technical and business understanding over time

• Develops confidence in independently supporting dashboards, datasets, and reporting workflows

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Behaviors and Competencies

• Analytical Thinking: Can apply critical thinking to analyze data, identify patterns, and make basic inferences.

• Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them.

• Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings.

• Critical Thinking: Can analyze and interpret data to inform decision-making, and propose solutions based on logical reasoning.

• Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections.

• Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the a