Year-Round Data Analytics Intern

Year-Round Data Analytics Intern 

Location: Charlotte, NC (On-Site Required)

Internship Duration: March 2nd - December 31st 

Position Overview 

We are seeking a motivated and detail-oriented Data Analytics Intern to join our Data Analytics team. This position offers a unique opportunity to gain hands-on experience with ETL processes, SQL development, and business intelligence tools, working closely with IT professionals and business users to support enterprise data initiatives. 

Key Responsibilities 

• Collaborate with IT and business stakeholders to gather, understand, and document data requirements. 
• Support business analysis activities, including requirements gathering, process mapping, and solution documentation. 
• Participate in meetings and workshops to facilitate communication between technical teams and business users. 
• Analyze existing data management and ETL processes and identify areas for improvement. 
• Work with ETL tools and Microsoft Azure services (Synapse or Microsoft Fabric) to support data integration and transformation workflows. 
• Assist in business intelligence development, including creating and maintaining dashboards and reports using Power BI. 
• Create semantic models for Power BI and other BI solutions. 
• Write SQL queries for data extraction, transformation, and reporting. 
• Prepare clear and concise documentation, including business requirements, data dictionaries, workflow diagrams, and BI solution specifications. 
• Contribute to the creation of training materials and user guides for ETL processes and BI best practices. 

Required Skills and Qualifications 

• Currently pursuing a Bachelor’s or Master’s degree in Information Systems, Business Administration, Technical Communication, or related field. 
• Strong analytical and problem-solving skills. 
• Excellent written and verbal communication abilities. 
• Ability to work collaboratively with cross-functional teams. 
• Attention to detail and commitment to producing high-quality work. 
• Proficiency in SQL and Python. 
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). 
• Experience with ETL tools (Microsoft SSIS, Azure Synapse) and business intelligence tools (Power BI) is preferred. 
• Familiarity with ETL methodologies and business analysis practices is preferred. 
• Microsoft Fabric and Cloud experience is preferred.