Associate Analytics Engineer - Data & Visualization

SHI International Corp.•Austin, TX

1d•Onsite

About The Position

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).

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
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

Nice To Haves

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

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