Senior Sales Pricing Analyst

Hyve Solutions•Fremont, CA

14d

About The Position

Hyve Solutions transforms complex engineering challenges into production reality for technology innovators building AI, cloud, and connected infrastructure. As a US-based manufacturing partner, Hyve delivers agile execution through deep technical partnerships, co-innovation, and supply chain clarity. Its integrated ODM, CM, and SI capabilities streamline vendor complexity and accelerate time to market, with accountability from design through scale. The Senior Sales Pricing Analyst leads customer-level sales operations workstreams and owns profitability, commercial performance, cost recovery, reporting, and business insights. The role partners with Account Executives and Sales Operations leadership, influences cross-functional teams, develops operating plans and roadmaps, and champions AI and automation to improve sales operations workflows. Some travel and work outside normal business hours may be required based on customer or business needs.

Requirements

Bachelor’s degree with at least 5 years of relevant sales operations, finance, commercial operations, or program management experience, or an equivalent combination of education and experience.
Experience leading complex sales operations or commercial workstreams in a high-volume environment.
Experience in a fast-paced, high-volume environment and ability to react quickly and remain productive during unexpected changes.
High-volume reporting and data analysis experience.
Ability to influence senior stakeholders, lead cross-functional teams without direct authority, and translate complex financial and operational issues into clear recommendations and action plans.
Excellent verbal and written business communication skills, including professional communication with customers, internal teams, and cross-functional leaders.
Strong computer skills and ability to learn quickly.
Strong analytical skills and experience solving diverse, complex problems using data, judgment, and cross-functional input.
Self-directed, proactive approach to problem-solving and follow-through.
Ability to maintain composure and professionalism in high-pressure customer interactions.
Proficient knowledge of Windows operating systems and advanced Excel skills.
Some travel and work outside normal business hours may be required based on customer or business needs.

Nice To Haves

Manufacturing, technology, or production experience.
Server, rack, or related product knowledge.

Responsibilities

Lead complex customer-level sales operations workstreams end to end, setting priorities, aligning stakeholders, and enabling Account Executives to spend more time with customers and in the field.
Own customer-level profitability and commercial performance by monitoring revenue, margin, pricing, and costs; identifying material risks and opportunities; and driving corrective action with senior stakeholders.
Lead cost recovery strategy and execution, including identifying exposure, validating financial support, influencing commercial positions, coordinating customer claims, and driving recovery actions through closure.
Partner with Sales Operations leadership and Account Executives to design and govern intake, prioritization, and execution processes for sales requests.
Anticipate systemic pain points affecting Account Executives and develop practical, scalable solutions that improve productivity, responsiveness, and customer experience.
Serve as the senior point of contact for customer-level data and business insights; establish reporting standards and deliver dashboards, forecasts, executive analyses, and recommendations.
Influence and align Deal Desk, Finance, Legal, Sales Strategy, GTM Systems, and other internal teams to execute cross-functional improvements.
Define customer-level strategy, operating plans, and multi-quarter roadmaps, and present progress, financial impact, risks, and recommendations to Sales Operations leadership and sales stakeholders.
Champion AI and automation across sales operations workflows to eliminate routine work, accelerate analysis, improve data quality, and scale repeatable best practices.
Establish KPIs and performance mechanisms with leadership, hold workstreams accountable to targets, escalate material risks, and drive mitigation plans to completion.