HP
HP
HP is a global technology and hardware company serving consumers and businesses with computing, printing, imaging, and related products. Its portfolio includes laptops and desktops, professional and gaming workstations, monitors, accessories, 3D printing systems, and services such as Instant Ink, which automates ink delivery. HP also supports product recycling and sustainability initiatives, offering a broad range of solutions for work, creativity, and everyday home use.

Data Analyst (Python & Tableau) – HP, Spring, Texas

HP is hiring a Data Analyst to use Python and Tableau across structured and unstructured data. The role supports experiments, research publications, patent development, and data-informed product decisions.

Description

  • Lead the investigation, design, development, execution, and delivery of data science projects
  • Turn analysis into new insights, products, technologies, and intellectual property
  • Plan data collection and analysis activities and build visualizations that communicate findings
  • Work with internal and external partners to conduct experiments and validate results
  • Establish data collection, recording, analysis, and communication processes with subject matter experts
  • Develop literature reviews and presentations for peer review, publication, and industry or scientific events
  • Draft patent applications and prepare the related supporting materials
  • Coach and mentor colleagues with less experience
  • Partner with data analysts, junior data scientists, engineers, subject matter experts, and research and product development teams
  • Contribute to initiatives that require data science engineering

Requirements

  • Bachelor’s, master’s, or PhD in mathematics, economics, physics, computer science, or a comparable field
  • Four to six years of experience, including graduate or postgraduate research
  • Solid knowledge of data analysis methods, statistical principles, and data validation practices
  • Strong project management capabilities
  • Proficiency in Python for data analysis
  • Experience using data visualization platforms such as Tableau
  • Working knowledge of AI and AI-enabled tools that can improve data analysis
  • Highly developed analytical and problem-solving abilities with careful attention to detail
  • Capability to analyze structured and unstructured data from multiple sources
  • Excellent communication skills for explaining complex findings to technical and non-technical audiences
  • Ability to influence stakeholders and advance data-driven decisions across organizational levels

Benefits

  • Health insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • Long-term and short-term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Four to twelve weeks of fully paid parental leave depending on tenure
  • Eleven paid holidays
  • Additional flexible paid vacation and sick leave

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