Vertiv

Data and Analytics Intern (Summer 2027)

Westerville, OH, United States

Pay: Pay not listedSimilar roles state $89K–$148K
Work setting: Not stated
Employment: Not stated

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What you’ll work on

Full posting

Design standardized data structures and intake processes for future data-lake and analytics work
Collect, clean, transform, and validate data from multiple sources using Python, SQL, and Excel
Analyze operational KPIs and SIOP metrics for trends and data-quality issues
Develop and enhance Power BI reports and analytical tools for decision-makers
Prepare summaries and presentations of analytical findings and recommended actions

From the employer’s posting

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.

Design and build standardized data structures and intake processes

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.

Prepare clear summaries and presentations that communicate analytical findings and recommended actions.

What you’ll bring

All qualifications

Core experience

Proficiency in Python, including experience with Pandas, NumPy, or similar data-manipulation libraries.
Ability to work independently, manage priorities, and complete assignments with minimal supervision.

Preferred experience

Familiarity with Microsoft Fabric, Azure Data Factory, Snowflake, or similar data-pipeline and cloud-data platforms.
Experience developing reports or dashboards in Microsoft Power BI.
Experience with Power Automate, Power Apps, SharePoint, or other Microsoft 365 tools.

Qualification wording

Proficiency in Python, including experience with Pandas, NumPy, or similar data-manipulation libraries.

Ability to work independently, manage priorities, and complete assignments with minimal supervision.

Familiarity with Microsoft Fabric, Azure Data Factory, Snowflake, or similar data-pipeline and cloud-data platforms.

Experience developing reports or dashboards in Microsoft Power BI.

Experience with Power Automate, Power Apps, SharePoint, or other Microsoft 365 tools.

Tools in this posting

Python
SQL
Azure
Excel
Power BI
Snowflake
NumPy
pandas

Source

- Use Python, SQL, and Excel to collect, clean, transform, validate, and consolidate data from multiple business sources. -

- Proficiency in Python, including experience with Pandas, NumPy, or similar data-manipulation libraries. -

- Foundational understanding of SQL, relational databases, and data-modeling concepts. -

- 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. -

- Develop or enhance Power BI reports and other analytical tools used to support operational and leadership decision-making. -

- Experience developing reports or dashboards in Microsoft Power BI. -

Posting record

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Status in our records: Live
First seen by us: Sep 9, 2026 · 51 days ago
Recorded sightings: 215
Last seen by us: Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

Have your resume and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the pay range before committing time to the process.

Complete your application on egup.fa.us2.oraclecloud.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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.

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Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Westerville, OH, United States
- No special physical requirements beyond those associated with a standard office or remote-working environment. Travel Required
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at egup.fa.us2.oraclecloud.com ↗Read the full description ↓

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