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.
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.
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.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
