# Big Data Laser Analyst

**Company**: HP Inc.
**Experience**: mid
**Job type**: full-time
**Salary**: $83,000 to $127,800 USD annually
**Category**: Data Science
**Industry**: Technology

**Apply**: https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Vancouver-Washington-United-States-of-America/Big-Data-Laser-Analyst_3162874-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3b4ebcd3-32a

## Description

We are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. 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. You will partner closely with data engineers and data scientists to improve data reliability, define KPI and metric semantics, and influence cross-functional decisions through clear data storytelling.

**Responsibilities**

- Own laser print telemetry business insights for the Print Supplies organization, from problem framing and metric definition through analysis, visualization, and executive-ready recommendations.

- Partner with stakeholders to clarify goals, translate business questions into analytical requirements, define critical KPIs, and deliver insights that drive decisions.

- 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.

- Enable self-service analytics by documenting dashboards and KPI definitions, and coach users on correct interpretation and common pitfalls.

- 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.

**Education & Experience**

- 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.

**Preferred Certifications**

- Programming Language/s Certification (SQL, Python, or similar)

**Knowledge & Skills**

- Analytics: exploratory analysis, root-cause analysis, and KPI design

- SQL: complex joins, CTEs, window functions, query performance optimization

- 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

- Dashboarding & data visualization: Power BI, Tableau, Qlik, advanced excel / PowerPoint or similar; ability to build stakeholder-ready reporting

- Data quality and governance: profiling, anomaly detection, metric validation, and documentation

- 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.

- Applied statistics: sampling, confidence intervals, and basic experiment/pre-post evaluation

**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, including;

- 4-12 weeks fully paid parental leave based on tenure

- 11 paid holidays

- Additional flexible paid vacation and sick leave

## Skills

### Required
- Analytics
- SQL
- Python
- PySpark
- Power BI
- Tableau
- Qlik
- Excel
- PowerPoint
- Git
- Jira
- Confluence

### Nice to have
- Programming Language/s Certification (SQL, Python, or similar)

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Source: [Apply at hp.wd5.myworkdayjobs.com](https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Vancouver-Washington-United-States-of-America/Big-Data-Laser-Analyst_3162874-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)