Workstations GBU - Product Management Data Analyst

HP • Houston, TX

9h

About The Position

HP’s Advanced Compute Solutions (ACS) organization builds the world’s highest‑performance workstations, powering mission‑critical workflows across industries—from 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.

Requirements

• 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
• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level