Summer 2024 Intern – Finance Data Analyst

Key Skills

Analytical and Problem solving, Automation, Data Analytics, Data science techniques, Data Visualization, Design, Effective communication skills, Finance, Microsoft Office suites, PowerBI, Python Programming, RStudio, SQL, Tableau

Job Description

HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.

The following posting is a pipeline requisition, meant to accumulate candidates for 2024 Summer Internships. Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP, Inc.

Candidates who identify with a group that is historically underrepresented in the technology sector including by not limited to, African American, Latino, Native American, individuals with disabilities and Veterans are encouraged to apply.

This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future.

The Program:

Our future success depends on the innovation and fresh ideas students bring to HP, inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way.

Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

The Team:

Finance is committed to helping build a Future Ready HP by delivering business results, driving transformation, and developing our people. Finance is a strategic partner to the business and plays an integrated role by providing insights that guide business decisions and support HP’s corporate goals.

In addition to traditional operations such as accounting, reporting, tax, audit and treasury, HP Finance leverages technology and data analytics to gather, analyze, and interpret financial and operational data. This data-driven approach allows for more accurate forecasting, risk assessment, and performance measurement, leading to better decision-making across the organization, positioning HP for long-term success and helping to accelerate growth.

Responsibilities:

As a Finance Data Analyst Intern, you will work with a team to:

• Provide financial analysis for a function or business.

• Use advanced analytical techniques to extract insights and knowledge from data.

• Translate complex data sets into actionable insights that drive informed decision-making and business strategies.

• Apply business intelligence and reporting tools (e.g., creation of interactive dashboards).

• Utilize process mining tools to improve process performance.

• Works with the team to creates stories with the data using visualization tools/methods.

• Assures accuracy, integrity, and compliance of cleansed data.

• Develop an understanding of HP's financial processes and a working knowledge of the business.

Education and Experience Required (Objective Minimum Qualifications)

Pursuing a Bachelor's or Graduate degree (with a graduation date of December 2024 or later).

• Able to obtain work authorization in the United States in 2025, and not require sponsorship in the future.

Preferred Knowledge and Skills (Preferred Qualifications): 

• Preferred majors include (but are not limited to) Computer Science, Data Analytics, and Data Science.

• Basic understanding of accounting processes.

• Understanding of scientific design and data collection methodologies, tools, and analysis packages to collect, validate, and analyze research data.

• Good analytical and problem-solving skills.

• Good business application skills (e.g., Microsoft Office suite).

• Good written and verbal communication skills.

• Ability to effectively communicate research plans, proposals, and results.

• Familiarity of industry standard languages such as Python.

• Familiarity of tools like RStudio, PowerBI, and Tableau for visualization.

• Familiarity of industry leading forecasting tools such as Workday Adaptive, Anaplan, or Stratify.

• Foundational understanding in data mining tools such as RStudio or Orange.

• Familiarity with digital automation tools such as StudioX, UXPath, or SQL.

We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you.

HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225

COL, NY, CA, WA – Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $26 – $29 hourly. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.