Jobs / United States / Hewlett Packard Enterprise Company

Hewlett Packard Enterprise Company

Data Analyst – Supply Chain

Aguadilla, Puerto Rico Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 486 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Hewlett Packard Enterprise Company paid sponsored hires in similar roles1 certified filing for “Strategic Procurement Manager III” (Supply Chain Managers) in TX: $137k–$137k, median $137k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 486 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Hewlett Packard Enterprise Company paid sponsored hires in similar roles
1 certified filing for “Strategic Procurement Manager III” (Supply Chain Managers) in TX: $137k–$137k, median $137k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Data Analyst – Supply Chain This 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

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