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 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.

The pay range for this role is $105050 to $161800 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
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.

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Schedule -

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Equal Opportunity Employer (EEO) -

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.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal