Supplies North America Business Analyst

The North America Supplies Business Analyst is responsible for leading the collection, cleaning, preprocessing, and analysis of large datasets to derive meaningful insights. The role generates regular reports and ad-hoc analysis, highlighting key metrics and insights that inform business decisions. The role translates complex data into actionable recommendations for various departments, such as marketing, operations, or finance. The role ensures data accuracy, integrity, and consistency across all analyses and reports., * Participates as a senior member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.

• Creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
• Reviews and assesses existing reporting suite with a view of modernization through automation and process improvement.
• Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
• Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
• Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
• Drives innovation and integration of new Data Science related technologies and practices into projects and activities in the R&D organizations.
• 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., 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.

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 3-5 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

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

Knowledge & Skills

• Agile Methodology
• Business Intelligence
• Computer Science
• Dashboard
• Data Analysis
• Data Management
• Data Modeling
• Data Quality
• Data Science
• Data Visualization
• Data Warehousing
• Extract Transform Load (ETL)
• Machine Learning
• Power BI
• Python (Programming Language)
• R (Programming Language)
• SAS (Software)
• SQL (Programming Language)
• Statistics
• Tableau (Business Intelligence Software)

Cross-Org Skills

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

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., 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.