Pricing Analyst

About Hpe

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 Summary

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

Key Responsibilities

• Defines, develops, evaluates and oversees the implementation of pricing models and strategies designed to optimize revenue, market share, brand positioning and long-term profits.
• Partners with Sales/Marketing, Business Development, Finance and other key stakeholders to correctly position product portfolio and establish pricing programs aligned with product/sales strategy and revenue recognition requirements.
• Prioritizes and delivers on opportunities to monetize products offered initially at little to no cost, or to implement upsell opportunities as products are repositioned in the marketplace.
• Monitors the ongoing business environment to ensure competitive pricing/market position and directs the development and analysis of pricing models and projections.
• Oversees the implementation of pricing proposals across the organization.

Requirements

• Bachelor’s degree, or technical/advanced university degree, or equivalent experience. A master’s degree is desired.
• Typically, 2 to 4 years of experience.
• Understanding of pricing strategies, such as value-based pricing, dynamic pricing, and competitive pricing.
• Business acumen and knowledge of local markets.
• Strong quantitative skills and ability to analyze large datasets.
• Good written and verbal communication skills and able to collaborate effectively with cross-functional teams.