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$112,513–$165,250.
Based on 240 similar postings.
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About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
115 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 95 roles with salary data.
The Business Intelligence and Infrastructure Analysts Intern will join a team focused on developing scalable analytics solutions and reusable data products. In this role, you will collect, clean, validate, and analyze business data to communicate actionable insights through intuitive data visualizations and reports. You will translate stakeholder needs into analytical requirements, document data sources, and establish data-quality and governance practices. The position requires working knowledge of Excel, Python, and SQL, with preferred experience in Power BI, Microsoft Copilot, and Agile methodologies. You will identify opportunities to improve reporting processes through automation and AI while collaborating with strategy and technology stakeholders. This role solves the business problem of transforming raw data into structured, high-quality information to support organizational decision-making and operational efficiency.
Collect, clean, validate, and analyze business data.
Develop dashboards and reports to communicate actionable insights.
Use Python and SQL to automate data preparation and analysis.
Support scalable analytics solutions and reusable data products.
Establish data-quality and governance practices.
Translate stakeholder needs into specific analytical requirements.
Identify opportunities to improve reporting processes through automation and AI.
Document data sources, analytical methods, and business definitions.
What we're looking for
Must be currently enrolled full-time at an accredited university pursuing a bachelor's degree in Computer Science, Business Administration, Finance, Data Analytics, Information Systems, or a related field.
Must have no more than 24 months of prior professional work experience related to the internship.
Must possess strong analytical and problem-solving abilities with a high attention to detail and data accuracy.
Must have working knowledge of Excel, Python, and SQL.
Must have experience with data analysis and visualization and the ability to communicate findings clearly.
Must be able to collaborate with both technical and non-technical stakeholders.
Experience developing dashboards in Power BI, familiarity with AI tools, and knowledge of Agile methodologies are preferred (preferred).
Python
C++
C#
TypeScript
AI
ML
Edge AI
Data Structures
Algorithms
version-control
Debugging
Testing
Power BI
Excel
PowerPoint
UX/UI
Operating Systems
Computer Architecture
Python
R
SQL
Pandas
Tidyverse
Machine Learning
Artificial Intelligence
Natural Language Processing
Time Series
Clustering
Computer Vision
Survival Analysis
Generative AI
Data Science
Statistics
Business Intelligence
Data Analysis
Tableau
Power BI
SQL
Python
Microsoft Excel
Data Storytelling
Reporting Systems
Business Analytics
Data Science
Statistics