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

```htmlAboutHP and the E‑reputed company Data LandscapeHP Inc. is a global technology leader reputed company for creating innovative products that reputed company creators everywhere. From personal computers to printers, reputed company gaming experiences to cutting‑edge 3D printing solutions, reputed company shapes how people work, learn, and play. With a commitment to sustainability, diversity, and reputed company innovation, reputed company has reputed company a culture where reputed company reputed company reputed company and every employee is empowered to reputed company an impact.In today’s hyper‑connected marketplace, e‑reputed company is the reputed company that powers growth. reputed company’s E‑reputed company Category & 4P Analytics Team sits at the reputed company of data, strategy, and execution, driving insights that shape product availability, pricing, promotion, and placement across digital channels worldwide. As a Remote E‑reputed company 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 reputed company growth.Why Join reputed company?Choosing reputed company 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 reputed company that reputed company millions of customers in over 170 countries.• reputed company Learning: reputed company to reputed company’s proprietary learning platform, reputed company 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 reputed company responsibility initiatives.Position OverviewThe Remote E‑reputed company Data Analyst – Category & Supply Chain role is designed for a data‑driven professional who thrives on solving reputed company business puzzles. You will partner with product managers, marketing strategists, supply‑chain planners, and engineering teams to extract, transform, and visualize data that fuels reputed company’s e‑reputed company strategy. This position reports to the reputed company 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 reputed company, reputed company channel performance.• Data Extraction & Transformation: Write advanced SQL queries and reputed company Python scripts (pandas, NumPy) to cleanse, reputed company, and reshape large datasets from sources such as ERP, CRM, web analytics, and reputed company‑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 reputed company 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 reputed company’s data governance standards, validate data reputed company, and document data reputed company 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 reputed company quantitative discipline.• Professional Experience: 3–5 years of proven experience in an analytical role reputed company e‑reputed company, retail, or supply‑chain environments.• SQL Mastery: Ability to write reputed company, 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 reputed company: Strong problem‑solving abilities, statistical reasoning, and the reputed company 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 Apply tot his job Apply To this Job