Supplies North America Business Analyst

Description -
The North America Supplies Business Analyst / Reporting & Data Specialist is responsible for translating complex business data into decision-ready reporting, clear business insights, and actionable recommendations. This role will collect, clean, validate, analyze, and communicate data from multiple business sources, applying data science, statistical analysis, and business analytics techniques to identify trends, performance drivers, risks, and opportunities.

Responsibilities

• Support the collection, cleaning, preprocessing, validation, and organization of data from multiple business sources to ensure reporting accuracy, integrity, and consistency.
• Apply data science, statistical analysis, and business analytics techniques to identify trends, drivers, risks, and opportunities across key North America Supplies business performance areas.
• Generate recurring reports and ad-hoc analysis that highlight key metrics, business trends, performance drivers, and emerging risks or opportunities.
• Help create and maintain repeatable reporting processes, templates, dashboards, and documentation to reduce manual work and improve consistency.
• Use AI-enabled tools to improve speed and quality of analysis, identifying opportunities for modernization through automation, simplification, and process improvement
• Collaborate with Category subject matter experts to align reporting logic, business definitions, data assumptions, methodology, and procedures for collecting and communicating business data.
• Translate complex analysis outputs into clear charts, tables, summaries, and actionable recommendations for internal stakeholders.

Education & Experience Recommended
Four-year or graduate degree in Mathematics, Statistics, Economics, Finance, Business Analytics, Computer Science, Data Science, Data Analytics, or any other related discipline; or commensurate work experience or demonstrated competence.

Typically has 3–5 years of work experience, preferably in data analytics, data science, business analytics, reporting, database management, statistical analysis, or a related field.

Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar).

Knowledge & Skills

• Data Analysis
• Data Science
• AI-Enabled Analytics
• Statistical Analysis
• Business Analytics
• Business Intelligence
• Advanced Excel
• Excel Modeling
• PivotTables
• Power Query
• Data Management
• Data Modeling
• Data Quality
• Data Visualization / Power BI
• Extract, Transform, Load / ETL
• Reporting Automation
• Business Reporting
• SQL
• Python

Cross-Org Skills

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

Impact & Scope
Impacts function 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.

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"

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.

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).

Relocation -
Equal Opportunity Employer (EEO) -

Travel -

Shift -
No shift premium (United States of America)

Schedule -
Full time

Job -
Data & Information Technology

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.

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)

Benefits:

Pay and Benefits
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.

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.