Associate Analytics Engineer - Data & Visualization
SHI International Corp. · Austin, TX
- On site
- Full-time
- $85,000 / year
- Austin, TX
Job highlights
- Support dashboard and report development with Power BI.
- Assist in building and maintaining data transformations.
- Collaborate with senior engineers on analytics delivery.
- Learn modern cloud-based data environments.
- Gain experience in data modeling and visualization.
About the role
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
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
Compensation
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
Key skills/competency
- Associate Analytics Engineer
- Data Visualization
- Business Intelligence
- SQL
- Microsoft Power BI
- Data Modeling
- ETL/ELT
- Reporting
- Analytics Engineering
- Cloud Data Platforms
Skills & topics
- Associate Analytics Engineer
- Data Visualization
- Business Intelligence
- SQL
- Microsoft Power BI
- Data Engineering
- Reporting
- Analytics
- Data Analysis
- Cloud Data
How to get hired
- Tailor your resume: Highlight SQL, data visualization tools (like Power BI), and any data modeling experience. Mention relevant academic projects or internships.
- Showcase your analytical skills: Emphasize problem-solving, critical thinking, and attention to detail in your application and resume.
- Prepare for technical questions: Brush up on SQL fundamentals, data structures, and basic dashboard design principles.
- Research SHI's culture: Understand their commitment to technology, growth, and diversity.
- Express your eagerness to learn: Highlight your willingness to adapt to new technologies and analytics best practices.
Technical preparation
Master SQL for data querying and manipulation.,Practice building dashboards in Power BI.,Understand data modeling and transformation basics.,Familiarize with cloud data platforms like Fabric.
Behavioral questions
Describe a time you solved a data problem.,How do you handle conflicting data insights?,Share an example of continuous learning.,How do you collaborate in a team environment?
Frequently asked questions
- What is the typical career progression for an Associate Analytics Engineer at SHI International Corp.?
- As an Associate Analytics Engineer at SHI International Corp., career progression typically involves moving into roles like Analytics Engineer, Senior Analytics Engineer, or specializing in areas like Data Visualization or Data Engineering. Success in this role, marked by continuous learning and strong contributions, will pave the way for increased responsibility and advanced opportunities within the analytics and data teams. Your growth is supported through continuous professional development and leadership opportunities.
- What are the key responsibilities for an Associate Analytics Engineer - Data & Visualization at SHI?
- The key responsibilities for an Associate Analytics Engineer - Data & Visualization at SHI include supporting the development and maintenance of dashboards and reports, assisting with data engineering tasks like building datasets and transformation logic, and participating in analytics operations such as sprint planning and issue resolution. The role focuses on transforming raw data into actionable insights within a cloud-based environment.
- What technical skills are most important for this Associate Analytics Engineer role at SHI?
- The most important technical skills for this role include a foundational analytics and data engineering skillset, proficiency with SQL and relational database structures, and experience with data visualization and reporting tools, particularly Microsoft Power BI. Familiarity with concepts like ETL/ELT and data modeling is also beneficial, as is exposure to cloud data platforms.
- Does SHI International Corp. offer training for Associate Analytics Engineers?
- Yes, SHI International Corp. emphasizes continuous professional growth. For the Associate Analytics Engineer role, this means opportunities to learn best practices in analytics engineering, data modeling, dashboard design, and governance, as well as exposure to modern, cloud-based data environments. The company supports learning new technologies and analytics best practices.
- What kind of projects will an Associate Analytics Engineer work on at SHI?
- An Associate Analytics Engineer will work on projects focused on developing and maintaining dashboards and reports, building and transforming datasets, and supporting the overall analytics architecture. These projects aim to provide business teams with data-driven insights to support decision-making, specifically within the Spend Optimization Services (SOS) organization.