À propos de ce poste Associate Analytics Engineer - Data & Visualization chez SHI International
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
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