Operations Intern (Summer 2027)

• 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