BI & Data Analytics Intern: Dashboards, Python & AI

Hewlett Packard Enterprise; Vancouver (WA); On-site; USD 40,000 - 45,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous paid time off

Job summary

HP, Inc. invites applications for a Business Intelligence and Infrastructure Analysts Intern. The role offers a clear path to full-time conversion, contingent on performance and headcount. Candidates must be eligible to work in the United States now and in the future without sponsorship.

Responsibilities include data collection, cleaning, and analysis; building dashboards; and automating data tasks using Python and SQL. Collaboration across agile teams is expected.

Qualifications

• Pursuing a bachelor’s degree in a related field and enrolled full time.
• Must be eligible to work in the United States and not require future sponsorship.
• Strong analytical and problem-solving abilities.

Responsibilities

• Collect, clean, validate, and analyze business data.
• Develop dashboards and reports communicating actionable insights.
• Use Python and SQL to automate data prep and analysis.
• Support scalable analytics solutions and reusable data products.
• Help establish data-quality and governance practices.
• Translate stakeholder needs into analytical requirements.
• Identify opportunities to improve reporting through automation and AI.
• Create intuitive data visualizations and user experiences.

Skills

Analytical abilities

Data analysis

Data visualization

Excel

Python

SQL

Communication

Attention to detail

Stakeholder collaboration

Education

Bachelor's degree in CS/Business/Finance/Data Analytics/IS

Tools

Power BI

Copilot AI tools

Job description

HP, Inc. invites applications for a Business Intelligence and Infrastructure Analysts Intern. The role offers a clear path to full-time conversion, contingent on performance and headcount. Candidates must be eligible to work in the United States now and in the future without sponsorship.

Responsibilities include data collection, cleaning, and analysis; building dashboards; and automating data tasks using Python and SQL. Collaboration across agile teams is expected.