Workstations GBU - Product Management Data Analyst

Product Management Data Analyst HP's Advanced Compute Solutions (ACS) organization builds the world's highest-performance workstations, powering mission-critical workflows across industriesfrom scientific discovery to award-winning visual effects. We are seeking a highly skilled Product Management Data Analyst who can transform complex data into clear, compelling insights that influence product strategy and leadership decision-making. This role sits at the intersection of data analytics, product management, and business strategy. You will go beyond dashboards and reporting to uncover insights, connect disparate data sources, and clearly communicate the story behind the numbers to senior and executive stakeholders. This is a senior individual contributor role, offering strong visibility and strategic impact. Responsibilities: Analyze complex, multi-source data to inform product strategy, portfolio decisions, and business priorities Develop and apply advanced analytical frameworks and models to answer ambiguous, high-impact business questions Translate analytical findings into clear, compelling narratives and recommendations for senior and executive leaders Partner with Product Management, Data Science, and cross-functional teams to define goals, KPIs, and success metrics Build, optimize, and evolve dashboards and data models to ensure accuracy, scalability, and relevance Advocate for analytics needs across regions and markets, aligning global insights with local execution Continuously elevate how data and analytics are used to drive decision-making within the Workstations business Knowledge & Skills: Strong analytical and problem-solving skills, with the ability to work effectively in ambiguous environments Exceptional data storytelling and communication skills, including experience presenting to senior leadership Hands-on experience with data visualization and analytics tools (e.g., Tableau or similar) Experience with statistical analysis and advanced analytics techniques; exposure to machine learning methods is a plus Strong business acumen and understanding of product, marketing, or sales decision-making in a global context Impact / Scope: Influences product management strategy and business decisions across global Workstations portfolios Leads complex, cross-functional and cross-regional analytics initiatives as a senior individual contributor Operates with a high degree of autonomy and visibility, directly supporting leadership decision-making Education & Experience: Bachelor's or Master's degree in Data Analytics, Data Science, Statistics, Computer Science, Engineering, Business, or a related field, or equivalent practical experience Relevant experience in analytics, product analytics, or business analytics, with demonstrated impact on strategic decisions The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Created: 2026-03-10