57014P - Data Analyst (Supply Chain) - Penang

Hewlett Packard Enterprise Development LPPutrajaya, Putrajaya, Malaysia

3 days ago

Job description

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.

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.

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).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 : .

Hewlett Packard Enterprise

Technology innovation that fosters business transformation.We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives.Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed.

COVID Policy

The health and safety of our team members, customers and partners is paramount at HPE. Accordingly, be fully vaccinated against COVID-19 by the employment start date where permitted by law. Exemptions based on medical, religious or other grounds will be processed and approved in accordance with local laws.

Standards of Business Conduct (SBC)

The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors.Read more about how we

Equal Opportunity Employer (EEO)

Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. Please click here :

If you’d like more information about your EEO right as an applicant under the law, please click here :

E-Verify

(US & PR only)

HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information . You can also download the posters with information on legal rights and protection by clicking and .

Accessibility

Hewlett Packard Enterprise is committed to working with and providing reasonable accommodation to qualified, differently abled individuals. If you need assistance in filling out the employment application or require a reasonable accommodation while seeking employment, please email Note : This option is reserved for applicants needing assistance / reasonable accommodation related to a disability.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.if applicable to the role you applied to, you must

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Supply Chain Analyst • Putrajaya, Putrajaya, Malaysia

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