Supplies North America Business Analyst

HP•Houston, TX

1d•Onsite

About The Position

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.

Requirements

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.
Programming Language/s Certification (SQL, Python, or similar)
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)
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Responsibilities

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.

Benefits

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