57014P - Data Analyst (Supply Chain) at Hewlett Packard Enterprise

Cyberjaya, Selangor, Malaysia

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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)

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

Skills

Key technologies and capabilities for this role

SQLSnowflakeForecastingAI/MLDashboardsData VisualizationSupply Chain AnalyticsData ExtractionData Manipulation

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This role is designed as ‘Hybrid’ with an expectation to work on average 2 days per week from an HPE office.

What are the minimum qualifications for this Data Analyst role?

A Bachelor's degree in Data Science, Business Analytics, Supply Chain Management, or a related quantitative discipline is required, along with demonstrated experience in data analysis including proficiency in SQL, familiarity with data visualization platforms like Tableau, and data warehousing solutions like Snowflake.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at Hewlett Packard Enterprise?

The culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and supports stretching and growing careers.

What makes a strong candidate for this supply chain data analyst role?

Strong candidates will have strong analytical and problem-solving skills, effective communication and interpersonal skills, proven ability to analyze complex datasets and identify key insights, plus experience with SQL, Tableau, and Snowflake.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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