HP Inc.

Big Data Laser Analyst

Vancouver, Washington, United States of America · Full-time

Sponsorship not specified$83k-$128kDetected 70 days ago

PythonGitSQLDatabricksData AnalysisData VisualizationStatisticsJiraExcelLeadershipCommunicationCollaborationMentoringPublic SpeakingMicrosoft Office

About the role

In this role, you will translate consumer and enterprise print telemetry into trusted metrics, dashboards, and actionable insights, with a primary focus on laser printer data.

Own laser print telemetry business insights for the Print Supplies organization, from problem framing and metric definition through analysis, visualization, and executive-ready recommendations.
Provide consultative support and ad hoc analyses with clear hypotheses, methods, and assumptions; produce reusable queries, datasets, and shareable outputs with documented limitations.
Collaborate with internal and external partners to align on telemetry instrumentation, data collection methodology, and platform differences to ensure consistent interpretation across printer platforms.
Investigate data quality issues (completeness, accuracy, timeliness), perform root-cause analysis across pipelines and sources, and communicate impacts and remediation paths with appropriate caveats.
Design and maintain measurement frameworks (e.g., adoption, usage, retention, share, funnel/driver analyses); when applicable, support experiment or pre/post evaluation and interpret results for stakeholders.
Create clear narratives through written summaries, presentations, and recurring reporting that highlight trends, drivers, risks, and recommended actions for leadership and partner teams.
Lead moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans.
Partner with stakeholders to clarify goals, translate business questions into analytical requirements, define critical KPIs, and deliver insights that drive decisions.

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience.

Python (and/or PySpark) for analysis, data validation, and automation.
Familiar with VSCode and Databricks Ideally
Ability to interpret telemetry and pipeline outputs in business context, including communicating uncertainty and known limitations
Comfort working across multiple data sources/layers and explaining differences in source-of-truth, grain, and transformations
Comfort with modern analytics tooling (including AI-assisted development) while maintaining reproducibility and reviewable outputs
Strong documentation habits for metric definitions, data lineage, and stakeholder guidance
familiarity with version control (e.g., Git) a plus.
Familiar with Jira and Confluence.

The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
Pay varies by work location, job-related knowledge, skills, and experience.

HP offers a comprehensive benefits package for this position, including:
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Flexible spending account
Life insurance
Generous time off policies, including
4-12 weeks fully paid parental leave based on tenure
Additional flexible paid vacation and sick leave ( US benefits overview )
The compensation and benefits information is accurate as of the date of this posting.
Learning Agility

No Equal Opportunity Employer (EEO) -
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

ty to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status,

This listing is sourced directly from HP Inc.'s careers page and normalized into a canonical job model.