57014P - Data Analyst (Supply Chain) - Penang

Reposted 58 Minutes Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Cloud • Information Technology • Consulting
The Role
The Data Analyst will focus on supply chain analytics, developing reports, dashboards, and forecasting models to enhance decision-making and performance improvement.
Summary Generated by Built In
57014P - Data Analyst (Supply Chain) - Penang

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

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:

   

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.

Minimum 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).

202511Juniper

Additional Skills:

Accountability, Accountability, Active Learning, Active Listening, Bias, Business Reporting, Coaching, Compliance Management, Creativity, Critical Thinking, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Personal Initiative, Policy and procedures, Process Improvements, Quality Initiatives, Regulatory Policies {+ 3 more}

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.

#malaysia, #vietnam

Job:

Quality

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.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Top Skills

Python
Snowflake
SQL
Tableau
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The Company
HQ: Houston, TX
61,628 Employees

What We Do

In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology.

More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.

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