Collaborate with experienced IT professionals while gaining hands-on experience with QA testing practices.
Actively support process improvements and enhance documentation practices.
Assist with DevOps and Azure-related tasks.
Develop key skills in software testing and contribute to the overall success of the QA team.
Requirements
Currently pursuing a degree in Computer Science, Information Technology, Data Science, Business Analytics, or a related field.
Strong academic record and a passion for technology and data analytics.
Basic understanding of IT Software Development Life Cycle (SDLC) process
Excellent problem-solving, analytical, and communication skills.
Ability to work effectively both independently and as part of a team.
Prior work experience, coursework or internship experience in data analytics, machine learning, or business intelligence is preferred. Experience working with large datasets in a retail, e-commerce, or supply chain environment is a plus.
Proficiency in SQL for querying and manipulating large datasets.
Experience with Python or R for data analysis, statistical modeling, and machine learning.
Familiarity with Databricks and Microsoft Fabric for data processing and analytics.
Hands-on experience with Power BI for dashboard development and data visualization.
Understanding of Azure cloud platform and data engineering concepts.
Tech Stack
Azure
Cloud
Python
SDLC
SQL
Benefits
Housing, relocation, and transportation assistance are not provided.
Availability is required from June 1 through August 7, 2026, with a minimum commitment of 30 hours per week.