Operations Intern (Summer 2027)

Position Summary 

• We are seeking a proactive and detail-oriented individual to join our team as a Data and Analytics Intern. This internship offers exposure to various facets of operations management and provides an opportunity to gain valuable hands-on experience in a fast-paced environment. The ideal candidate is organized, adaptable, and possesses strong problem-solving skills.   

Responsibilities 

• Build data structure and data lake intake method to support future analytics tools use at a growing Fortune 500 company 

• Collaborate with team members to identify inefficiencies in operational processes and propose solutions for improvement   

• Collect, analyze, and present data related to key performance indictors (KPIs) and operational metrics. Prepare reports to track progress and identify trends  

• Maintain accurate records and documentation related to operational processes, procedures, and compliance requirements.  

Qualifications  

• Currently enrolled in a degree program in Data Science, Computer Science, Information Systems, Business Analytics, or a related field 

• Proficiency in Python, including experience with libraries such as Pandas, NumPy, or similar data manipulation tools 

• Foundational understanding of SQL and relational database concepts 

• Strong analytical and problem-solving skills with attention to detail 

• Ability to work independently and manage tasks with minimal supervision 

Qualifications (Preferred) 

• Familiarity with Microsoft Fabric, Azure Data Factory, or similar data pipeline tools 

• Experience with Microsoft Excel at an intermediate to advanced level (data validation, structured tables, named ranges, or form design) 

• Exposure to data intake or form-based data collection workflows 

• Basic understanding of data governance concepts (data quality, documentation, lineage) 

• Experience with Power Automate, Power Apps, Sharepoint, PowerBI (DAX , Power Query) or other Microsoft 365 tools 

• Smartsheet 

• Data Pipeline development (ETL/ELT) 

• Comfort working in a collaborative environment with cross-functional stakeholders