Data Analytics & Infrastructure Intern

Hewlett Packard Co.; Vancouver (WA); Hybrid; USD 40,000 - 45,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Long term/short term disability

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4-12 weeks)

13 paid holidays

15 days paid time off

Job summary

Hewlett Packard Enterprise in the United States is seeking a Business Intelligence and Infrastructure Analysts Intern to collect, clean, and analyze business data and develop dashboards that communicate actionable insights.

You will use Python and SQL to automate data preparation and analysis, support scalable analytics solutions, and translate stakeholder needs into analytical requirements in an Agile environment.

Qualifications

• Strong analytical and problem-solving abilities.
• Experience with data analysis and visualization.
• Working knowledge of Excel, Python, and SQL.
• Ability to communicate analytical findings clearly.
• Strong attention to detail and data accuracy.
• Ability to collaborate with technical and non-technical stakeholders.

Responsibilities

• Collect, clean, validate, and analyze business data.
• Develop dashboards and reports that communicate actionable insights.
• Use Python and SQL to automate data preparation and analysis.
• Support scalable analytics solutions and reusable data products.
• Help establish data-quality and governance practices.
• Translate stakeholder needs into analytical requirements.

Skills

Data analysis

Data visualization

Excel

Python

SQL

Communication

Attention to detail

Stakeholder collaboration

Power BI

Copilot

Education

Bachelor's degree candidate

Tools

Power BI

Copilot

Job description

Hewlett Packard Enterprise in the United States is seeking a Business Intelligence and Infrastructure Analysts Intern to collect, clean, and analyze business data and develop dashboards that communicate actionable insights.

You will use Python and SQL to automate data preparation and analysis, support scalable analytics solutions, and translate stakeholder needs into analytical requirements in an Agile environment.