Page Wide Print Data Analyst

HPCorvallis, OR
Onsite

About The Position

The Page Wide Print Analyst will help shape the future of industrial printing by turning terabytes of press telemetry data into actionable insights that reduce downtime, optimize consumables, and drive customer success across global installations. We are looking for a Data Engineer/Analyst to join our data team. This engineer will be an active, collaborative member of the Back Office Support Tools(BOOST) Team, working cross‑functionally with Support, R&D, Sales, and Consumables to co‑develop insights, communicate findings, and influence product and customer outcomes. In addition, there will be significant data pipeline engineering responsibilities as we scale to 100 billion rows of data per day. PWP is a fast-growing organization in HP Corvallis. Join the team to help improve how we use data to accelerate business and customer outcomes.

Requirements

  • Bachelor’s or master’s degree or significant experience in intense problem-solving environments
  • At least 3 years’ experience supporting products and end customers
  • Demonstrated, ongoing commitment to using AI-assisted tools to improve how you work (speed, quality, learning), with an ability to explain and share your approach with others.

Nice To Haves

  • SQL
  • PL/SQL
  • Data Modeling
  • Microsoft Excel
  • Statistical Process Control
  • Writing Systems
  • PWP press hardware and software
  • AI Data Modeling experience

Responsibilities

  • Deliver advanced data analytics to inform our support organization
  • Design reports and dashboards for internal and external use, optimizing customer operations.
  • Provide insights into how our customers use our devices
  • Build and support high-quality, scalable data pipelines

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
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
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