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Salary
≈ $60k – $162k per year (Estimated)
Location
Hybrid (San Juan, Puerto Rico)
Employment
Full-Time

First seen by Alion on Oct 15, 2026. Hewlett Packard Enterprise scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hewlett Packard Enterprise is a global technology company specializing in edge-to-cloud solutions, enterprise IT infrastructure, and intelligent software services. Formed in 2015 following the division of Hewlett-Packard Company, the organization offers servers, storage, high-performance computing, and networking capabilities through flexible consumption models like its GreenLake platform. Headquartered in Spring, Texas, the enterprise operates internationally to help commercial and public-sector clients secure, manage, and modernize their digital infrastructure.
Data Analyst - Supply ChainThis role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

At HPE the Central Planning Team is responsible for analyzing, forecasting, and reporting on quarterly revenue targets. We utilize a vast array of Supply Chain Planning, Finance and Sales data for our analysis and drive a multi-functional team to deliver our targets.

Join our dynamic team as a Data Analyst focused on supply chain analytics! In this role, you'll have the exciting opportunity to contribute to the development of data-driven tools and reports that will drive insights and enhance decision-making. If you're a fast learner with a passion for data analysis & data science and a desire to make a meaningful impact, this is the perfect role for you!

Responsibilities:

  • Develop and maintain reports and dashboards to provide critical insights into customer demand fulfillment and supply availability.
  • Utilize advanced SQL querying techniques (Snowflake environment) for data extraction, manipulation, and analysis, ensuring data integrity and accuracy.
  • Contribute to the development of forecasting models through the integration of diverse data sources, with potential involvement in the application of AI/ML methodologies.
  • Design and implement interactive and automated dashboards that effectively visualize complex datasets for enhanced stakeholder understanding.
  • Conduct ad-hoc analyses to support data-driven decision-making, identify trends, and provide actionable recommendations for supply chain performance improvement.
  • Partner with cross-functional teams within supply chain operations to elicit data requirements and translate them into robust reporting solutions.
  • Maintain awareness of industry best practices in data analytics, reporting methodologies, and visualization tools.
  • Effectively communicate analytical findings, insights, and recommendations to relevant stakeholders.

Education and Qualifications:

  • Bachelor's degree in Data Science, Business Analytics, Supply Chain Management, or a related quantitative discipline.
  • Demonstrated experience in data analysis, including proficiency in SQL and familiarity with data visualization platforms (e.g., Tableau) and data warehousing solutions (e.g., Snowflake).
  • Proven ability to analyze complex datasets, identify key insights, and develop practical solutions.
  • Strong analytical and problem-solving skills.
  • Effective communication and interpersonal skills to collaborate with cross-functional teams.
  • Demonstrated capacity for rapid learning and adaptation to evolving business priorities.

Preferred Qualifications:

  • Prior experience within a supply chain environment, preferably in the high-tech sector.
  • Expertise in developing complex SQL queries and optimizing data retrieval processes.
  • Experience in the creation and deployment of data dashboards and visualizations.
  • Exposure to AI/ML concepts and their application in analytical contexts.
  • Proficiency in programming languages relevant to data analysis (e.g., Python).

Interested candidates who meet the stated qualifications are invited to apply.

This position offers the opportunity to contribute to critical business functions and enhance analytical capabilities within a global organization.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Business Planning

Job Level:

Intermediate

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. We do not discriminate on the basis of race, gender, or any other protected category,and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

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