Offres d'emploi

This role has been designed as ''Onsite'' with an expectation that you will primarily work from an HPE office.

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.

Key Responsibilities:

• Develop and implement end-to-end analytics strategies to improve partner claims management, cost savings, and supply chain resilience.
• Drive large-scale analytics programs that leverage automation, machine learning, and predictive analytics to optimize supply chain operations.
• Review partner claims and validate the accuracy, looking for spend that is either unapproved, miscategorized or out of scope.
• Partner with senior leadership and cross-functional teams to align analytics-driven strategies with business objectives.

Data-Driven Decision Making & Innovation:

• Establish, track, and continuously refine key performance indicators (KPIs) and operational metrics to measure success and drive improvements.
• Provide insights into spend, including trends, forecasts and outliers. Provide feedback and guidance around category spend, drivers and opportunities for improvement.
• Identify, evaluate, and implement emerging technologies and best practices in supply chain analytics.

Stakeholder Management & Influence:

• Act as a trusted advisor to senior stakeholders, supply chain leaders, and cross-functional teams, providing data-backed insights to drive business strategy.
• Influence executive decision-making by translating analytical findings into compelling business recommendations.
• Drive cross-functional collaboration, ensuring seamless integration of analytics with supply chain planning, operations, and finance teams.

Team Leadership & Development:

• Serve as local lead for team, interfacing with relevant stakeholders and taking ownership/responsibility for medium to high complexity projects
• Establish and enforce best practices for data analysis, model development, and reporting to ensure high-quality, actionable insights.
• Assist with development of junior staff, including providing feedback to the Team Manager and suggestions to individuals on areas to improve or develop new skills

Process Optimization & Automation:

• Identify and address process inefficiencies, leveraging automation and AI-driven solutions to enhance scalability and reliability.
• Drive initiatives to streamline data pipelines, improve data quality, and enhance real-time analytics capabilities.
• Develop standardized frameworks for analytics execution, ensuring consistency and repeatability across the organization.

Qualifications:

• Bachelor's or Master's degree in computer science, Data Science, Supply Chain Management, Operations Research, or a related field.
• 8+ years of experience in supply chain analytics, category management, or ERP system management.
• Strong background in statistical modelling, predictive analytics, and process optimization.
• Proven ability to lead cross-functional teams, influence stakeholders, and drive organizational change through data-driven insights.
• Experience working in a fast-paced, global supply chain environment.

Preferred Qualifications:

• Advanced degree (Master's) in a related analytical field.
• Strong project management skills, with the ability to oversee multiple initiatives simultaneously.
• High attention to detail and ability to identify errors and outliers in large datasets.
• Expertise in data modelling, data pipeline development, and automation techniques.
• Advanced communication and storytelling skills to translate data insights into strategic business recommendations.

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.