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.
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.
Requirements
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).
Tech Stack
Python
SQL
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