What are the responsibilities and job description for the Data and Analytics Intern (Summer 2027) position at Vertiv?
Position Summary
We are seeking a proactive and detail-oriented Data and Analytics Intern to support the development of scalable data structures, reporting solutions, and data-intake processes within a growing Fortune 500 organization. The intern will work with global operations data, help transform information from multiple sources into analysis-ready datasets, and support reporting for key performance indicators. This role provides hands-on experience in data engineering, business intelligence, operations management, and process improvement. The ideal candidate is organized, adaptable, technically curious, and capable of solving problems with increasing independence.
Responsibilities
-
Design and build standardized data structures and intake processes that support future data-lake, automation, and analytics capabilities.
-
Use Python, SQL, and Excel to collect, clean, transform, validate, and consolidate data from multiple business sources.
-
Analyze operational KPIs and SIOP-related metrics to identify trends, data-quality issues, risks, and opportunities for improvement.
-
Develop or enhance Power BI reports and other analytical tools used to support operational and leadership decision-making.
-
Collaborate with cross-functional stakeholders to identify reporting gaps and inefficiencies in existing business processes.
-
Prepare clear summaries and presentations that communicate analytical findings and recommended actions.
-
Maintain accurate documentation covering data sources, transformation logic, reporting processes, data lineage, and quality controls.
Qualifications
-
Currently enrolled in a degree program in Data Science, Computer Science, Information Systems, Business Analytics, Supply Chain Analytics, or a related field.
-
Proficiency in Python, including experience with Pandas, NumPy, or similar data-manipulation libraries.
-
Foundational understanding of SQL, relational databases, and data-modeling concepts.
-
Strong analytical and problem-solving skills with close attention to detail.
-
Effective written and verbal communication skills.
-
Ability to work independently, manage priorities, and complete assignments with minimal supervision.
Preferred Qualifications
-
Familiarity with Microsoft Fabric, Azure Data Factory, Snowflake, or similar data-pipeline and cloud-data platforms.
-
Intermediate to advanced Microsoft Excel skills, including structured tables, data validation, named ranges, and form design.
-
Experience developing reports or dashboards in Microsoft Power BI.
-
Exposure to data-intake, workflow-automation, or form-based data-collection processes.
-
Basic understanding of data-governance principles, including data quality, documentation, ownership, and lineage.
-
Experience with Power Automate, Power Apps, SharePoint, or other Microsoft 365 tools.
-
Comfort collaborating with cross-functional stakeholders in a global business environment.
Physical and Environmental Demands
-
No special physical requirements beyond those associated with a standard office or remote-working environment.
Travel Required
-
None.
#LI-RB1