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 modeling, dashboard design, governance, and analytics delivery.

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 audience.

Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.

Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.

Time Management: Can generally use time effectively and is working 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

Other Requirements

Bachelor’s degree or equivalent experience required

1-2 years of experience in analytics engineering, business intelligence development, or data modeling roles

Foundational understanding of SQL and relational databases

Exposure to data visualization or reporting tools through coursework, internships, or personal projects

Preferred:

Internship, academic, or project experience using Microsoft Power BI or similar business intelligence tools

Exposure to technologies such as SQL, Python, PySpark, or cloud‑based data platforms

Familiarity with analytics concepts such as ETL/ELT, data modeling, or dashboard design

Interest in analytics engineering, business intelligence, or data visualization as a long‑term career path

The estimated annual pay range for this position is $75,000 - $95,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status