Print Supplies Big Data Analyst

ITSMF; Vancouver (WA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave

11 paid holidays

Flexible paid vacation and sick leave

Job summary

HP Inc. is seeking a Print Supplies Big Data Analyst to support analytics, data quality, and forecasting enablement. You will partner with data engineers and BI teams to ensure data pipeline integrity and automate validation processes.

The role requires strong analytics, Python and SQL skills, and experience with BI tools such as Power BI or Qlik. You will mentor junior staff and contribute to complex data projects within the Data & Information Technology organization.

Qualifications

• Advanced analytics and problem solving with data validation and root-cause analysis.
• Experience with BI tools and stakeholder-ready dashboards.
• Proficiency in Python, SQL, and data-pipeline workflows.
• Strong documentation and collaboration, familiarity with Git, Jira, and Confluence.

Responsibilities

• Own and support monthly validation processes for telemetry outputs and dashboards.
• Partner with Forecasting and stakeholders via structured analysis and reporting.
• Develop automated, well-documented data validation processes.
• Perform root-cause analysis on data discrepancies across sources and layers.
• Provide ad hoc consultative support and route work through intake processes.

Skills

Analytics & problem solving

Data quality & governance

BI dashboards

Python

SQL

Databricks

Forecasting & time-series

Applied statistics

Documentation & version control

Education

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science

Tools

Power BI

Qlik

Excel

Jira

Confluence

Databricks

Job description

Print Supplies Big Data Analyst

Description -

Job Summary

We are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. This position sits at the intersection of analytics, data quality, product data stewardship, monthly reporting operations, and forecasting enablement. In this role, you will partner closely with data engineers, data scientists, and the supplies forecasting teams to ensure data processing pipeline integrity, maintain key business reference and enrichment data, and automate data verification and acceptance processes.

Responsibilities

• Own and support monthly validation processes for print telemetry outputs, dashboard semantic layers, and related usage/share reporting handoffs
• Serve as a key analytical partner for Forecasting and business stakeholders, helping answer usage, share, installed base, product readiness, and release approval questions through structured analysis and clear communication
• Develop and maintain automated and well‑documented processes that support recurring validation, issue diagnosis, data quality checks, and stakeholder decision‑making
• Conduct root‑cause analysis on data discrepancies across sources, grains, tables, dashboards, and processing layers, especially where definitions, filters, platform coverage, or reporting timing create mismatches
• Provide consultative support for quick‑turn ad hoc requests, escalation support, and deep‑dive investigations while helping route work through the appropriate intake, prioritization, and transition processes

• Collaborate with dashboard, data engineering, and business intelligence partners to improve transparency, repeatability, and maintainability of analytics outputs
• Provides guidance and mentoring to less- experienced staff members
• Applies advanced subject matter knowledge, leads, and contributes to complex projects, and exercises independent judgment in resolving business issues and establishing policies
• Develops and builds productive internal/external working relationships and may provide mentoring and guidance to lower-level employees

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 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Knowledge & Skills

• Analytics and problem solving: exploratory analysis, root-cause analysis, metric design, data validation, anomaly detection, and ability to diagnose complex data issues across multiple factors
• Data quality and governance: profiling, anomaly detection, metric validation, documentation, data lineage, privacy awareness, and the ability to communicate quality risks and remediation paths
• Business intelligence and visualization: experience with Power BI, Qlik, advanced Excel, or similar tools to build stakeholder‑ready dashboards, analyses, and presentations
• Python: for data analysis, validation, automation, time‑series analysis, reproducible workflows, and tooling to support recurring quality checks and investigations
• SQL, including complex joins, CTEs, window functions, query performance optimization
• Databricks and modern analytics tooling: ability to work in notebooks, queries, dashboard‑supporting datasets, and AI‑assisted development environments while maintaining reproducible and reviewable outputs
• Forecasting and time‑series: ability to support forecasting partners, interpret restatements and metric volatility, and contribute to forecasting automation or time‑series analysis workflows
• Applied statistics: sampling, confidence intervals, and basic experiment/pre‑post evaluation (role-dependent)
• Strong documentation habits for code and process development, data analyses and investigations, data lineage, and stakeholder guidance. Familiar with version control (e.g., Git), Jira, and Confluence

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross‑functional initiatives.

Complexity

• Works on complex problems where analysis of situations or data requires an in‑depth evaluation of multiple factors.

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.

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 https://hpbenefits.ce.alight.com/)

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.

Data & Information Technology

Full time

No shift premium (United States of America)

Relocation - No

HP, Inc. provides equal employment opportunity 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, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

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