Job Summary

- 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.
- Provide guidance and mentoring to less- experienced staff members.
- Solve difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently.
- Lead moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans.

Education & Experience Recommended
- 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

Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity

- Collaboration across technical and non-technical teams

Impact & Scope

- Impacts function by providing analytics and data quality validation that supports business-critical reporting and stakeholder decision-making for laser telemetry KPIs

- Serves as a key point of contact for laser telemetry interpretation and investigation requests, partnering across teams to drive consistent definitions and reliable use of outputs

Complexity
- Responds to moderately complex issues within established guidelines.

Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary

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.

Benefits:

HP offers a comprehensive benefits package for this position, including:

• 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 (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.