Remote E-Commerce Data Analyst – Category & Supply Chain Insights Specialist for HP, Inc. (Hybrid Flexible Work Arrangement)

```htmlAboutHP and the E‑Commerce Data LandscapeHP Inc. is a global technology leader known for creating innovative products that inspire creators everywhere. From personal computers to printers, immersive gaming experiences to cutting‑edge 3D printing solutions, HP shapes how people work, learn, and play. With a commitment to sustainability, diversity, and relentless innovation, HP has built a culture where bold ideas thrive and every employee is empowered to make an impact.In today’s hyper‑connected marketplace, e‑commerce is the engine that powers growth. HP’s E‑Commerce Category & 4P Analytics Team sits at the crossroads of data, strategy, and execution, driving insights that shape product availability, pricing, promotion, and placement across digital channels worldwide. As a Remote E‑Commerce Data Analyst, you will be a pivotal member of this high‑performing, globally distributed team, translating raw data into strategic recommendations that influence the customer experience and revenue growth.Why Join HP?Choosing HP means joining a multinational community of over 55,000 innovators who collaborate across continents, time zones, and cultures. You’ll enjoy:• Global Impact: Your analyses will inform decisions that affect millions of customers in over 170 countries.• Continuous Learning: Access to HP’s proprietary learning platform, LinkedIn Learning, and sponsorship for certifications.• Inclusive Culture: Employee resource groups (Women, Pride, Young Employees, Disability) foster belonging and professional growth.• Flexibility: A hybrid remote model that balances autonomy with occasional collaboration sessions at regional hubs.• Community Commitment: Paid volunteer time and corporate social responsibility initiatives.Position OverviewThe Remote E‑Commerce Data Analyst – Category & Supply Chain role is designed for a data‑driven professional who thrives on solving complex business puzzles. You will partner with product managers, marketing strategists, supply‑chain planners, and engineering teams to extract, transform, and visualize data that fuels HP’s e‑commerce strategy. This position reports to the Lead Analyst for the Category & 4P Analytics Team and collaborates closely with data engineers, senior analysts, and cross‑functional stakeholders.Key Responsibilities• Deep‑Dive Analytics: Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and growth opportunities across product categories, pricing, promotions, inventory levels, and digital channel performance.• Data Extraction & Transformation: Write advanced SQL queries and develop Python scripts (pandas, NumPy) to cleanse, merge, and reshape large datasets from sources such as ERP, CRM, web analytics, and third‑party platforms.• Dashboard Development: Design, build, and maintain interactive Tableau dashboards that communicate key performance indicators (KPIs) to executives, product owners, and operational teams.• Automation & Efficiency: Automate routine reporting pipelines, schedule recurring data jobs, and implement version‑controlled workflows using Git to improve reliability and reduce manual effort.• Stakeholder Collaboration: Partner with data engineers to define data schemas, with business analysts to align on metric definitions, and with product owners to translate analytical insights into actionable roadmap items.• Data Governance: Ensure compliance with HP’s data governance standards, validate data integrity, and document data lineage for auditability.• Strategic Recommendations: Synthesize findings into clear, concise recommendations that influence pricing strategy, inventory allocation, promotional tactics, and customer experience enhancements.• Mentorship & Knowledge Sharing: Coach junior analysts, contribute to best‑practice documentation, and foster a culture of data literacy across the organization.Essential Qualifications• Educational Background: Master's degree in Data Science, Business Analytics, Computer Science, Economics, or a related quantitative discipline.• Professional Experience: 3–5 years of proven experience in an analytical role within e‑commerce, retail, or supply‑chain environments.• SQL Mastery: Ability to write complex, performance‑optimized queries, build views, and manipulate large relational datasets.• Python Proficiency: Hands‑on experience with data‑analysis libraries (pandas, NumPy, SciPy) and scripting for data pipelines and automation.• Visualization Expertise: Advanced Tableau skills, including calculated fields, parameter actions, and dashboard performance tuning.• Version Control: Familiarity with Git workflows for collaborative code development and change tracking.• Analytical Mindset: Strong problem‑solving abilities, statistical reasoning, and the capacity to translate ambiguous data into concrete business insights.• Communication Skills: Exceptional written and verbal communication, with a talent for presenting technical concepts to non‑technical audiences.• Attention to Detail: Rigorous

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