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Hewlett Packard Enterprise

Data Analyst – Supply Chain

Hewlett Packard Enterprise is hiring a Data Analyst – Supply Chain for a remote role open to applicants in Puerto Rico. Level rates it ; you can apply on Hewlett Packard Enterprise.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data analyst role: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include SQL, Snowflake and data analysis.
  • Level lists 1,600+ other open roles at Hewlett Packard Enterprise.
  • The role was posted within the past two weeks.

AI in this role

Analyze supply chain data, build dashboards, and assist with forecasting models and reporting tools.

sqlsnowflake
data-analysissupply-chaindashboardingforecasting
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.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/LGBT employer. 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.

How we rate this

Data Analyst – Supply Chain at Hewlett Packard Enterprise rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisSupply ChainDashboardingForecastingSQLSnowflake

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$111k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where supply chain was part of your work. What did you do?
  3. Tell me about a project where dashboarding was part of your work. What did you do?
  4. Tell me about a project where forecasting was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Supply Chain, Dashboarding, Forecasting, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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