Global Supply Chain Data Analyst

As the largest pureplay adhesives company in the world, H.B. Fuller’s (NYSE: FUL) innovative, functional coatings, adhesives and sealants enhance the quality, safety and performance of products people use every day. Founded in 1887, with 2024 revenue of $3.6 billion, our mission to Connect What Matters is brought to life by more than 7,500 global team members who collaborate with customers across more than 30 market segments in over 140 countries to develop highly specified solutions that enable customers to bring world-changing innovations to their end markets. Learn more at www.hbfuller.com.

Position Overview

We are looking for a data analytics professional with more than 4 years experience to strengthen our Global Supply Chain Analytics team. This role is ideal for someone who combines strong technical expertise with a customer‑oriented, business‑partner mindset, capable of translating complex data into actionable insights for global stakeholders. You will lead and deliver advanced analytics solutions and enable data-driven decision-making across regions and business units.

Primary Responsibilities
 

• Lead the end-to-end development and execution of analytics projects that support global Supply Chain operations, from initial concept through final delivery.
• Design, build, and maintain interactive Power BI dashboards, PowerApps for user input collection, analytics models, and data products that help business teams make faster, insight‑driven decisions while streamlining and automating processes.
• Collaborate closely with supply chain leaders, planners, and cross‑functional partners to identify business challenges and proactively translate them into analytics solutions.
• Collect, transform, and analyze large-scale datasets to generate predictive and prescriptive insights using SQL, Python, and advanced statistical or machine learning techniques.
• Drive analytics adoption by delivering clear communication, training, and storytelling tailored to different audiences.
• Support continuous improvement of data quality, governance, and optimization across our Supply Chain Network Footprint.

Minimum Requirements
 

• Master’s degree in Data Science, Engineering, Computer Science, Applied Mathematics, Economics or a related field.
• 4+ years of hands-on experience in Data Analytics or Business Intelligence
• Advanced proficiency in:
• Excel (including Power Query, advanced formulas, modeling)
• Power BI, PowerApps, Power Automate (DAX, Power Query M, Power
• Experience with cloud environments (Azure, AWS, GCP).
• SQL (complex queries, performance optimization)
• Python (data manipulation, ML libraries, automation)
• Proven track record delivering analytics projects with Machine Learning components
• Strong understanding of supply chain processes (planning, logistics, inventory, fulfillment, …).
• Exceptional communication skills with the ability to act as a trusted business partner to non‑technical stakeholders.
• Analytical mindset, autonomy, ability to manage multiple priorities, and a strong drive for innovation.
• Fluency in English, both written and spoken.

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H.B. Fuller is an Equal Employment Opportunity employer and proud to have created a collaborative culture where employees around the world are seen, heard, and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or marital status or status as a protected veteran, or any other legally protected classification.

H.B. Fuller does not accept unsolicited resumes from recruiters, employment agencies, or staffing firms. To conduct business with H.B. Fuller, a written service agreement must be executed by Human Resources prior to submitting any information relating to a potential candidate. Without a signed service agreement, H.B. Fuller shall not be obligated for payment of any fee or compensation.