Associate Analytics Engineer - Data & Visualization

SHI International Corp. is a global provider of IT solutions and services. The Associate Analytics Engineer supports the development and maintenance of dashboards, reporting solutions, datasets, and data models, while helping transform raw data into trusted insights. The role also involves data validation, documentation, production support, and collaboration on analytics delivery.

Responsibilities

• 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
• 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
• 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

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
• Microsoft Power BI
• SQL
• Python
• PySpark
• cloud-based data platforms
• ETL/ELT
• data modeling
• dashboard design
• Interest in analytics
• Interest in business intelligence
• Interest in data visualization

Benefits

• 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.
• Medical, vision, dental, 401K, and flexible spending may be included.

Company

• IT solutions, integration, and licensing services for organizations
• Somerset, New Jersey, USA
• http://www.shi.com/
• Founded in 1989
• 5001-10000 employees

Qualifications

• * 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
• * 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
• * 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
• * 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

Required skills

• Dashboard Design, Data Modeling, Data Visualization, ETL/ELT, Microsoft Power BI, PySpark, Python, Relational Databases, SQL, Statistical Analysis

Experience

• 1-2 years