Data Analyst – Supply Chain

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.