Associate Analytics Engineer - Data & Visualization

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 mode [... source excerpt omitted ...] s 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 [... source excerpt omitted ...] ng towards improving task prioritization and deadline management. Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes. Skill Level Requirements Foundational analytics and data engineering skill set Ability to work with SQL and relational database structures Data visualization and reporting ability Analytical thinking and attention to detail Problem‑solving and troubleshooting skills Clear written and verbal communication skills Collaboration skills within cross‑functional technical teams Ability to manage multiple tasks in a structured, sprint‑based environment Willingness to learn new technologies and analytics best practices