Supply Chain Data Analyst

Alpharetta, US

Ontex

Your partner in baby, adult and feminine care. We develop and manufacture diapers, tampons and other hygiene products for retailers and healthcare.

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​​Ontex is a leading international provider of disposable personal hygiene solutions for all generations. With a global team of around 7,500 employees, we develop, produce and distribute in about 100 countries through leading retailers and healthcare providers. Ontex was founded in Belgium in 1979 and is listed on Euronext Brussels.

To reinforce our Supply Chain, Planning, Logistics team we are looking for a Supply Chain Data Analyst.

Why does this job exist at Ontex?

The Supply Chain Data Analyst role exists to ensure that Ontex's supply chain operates at peak efficiency by leveraging data-driven insights. This position plays a pivotal role in analyzing supply chain metrics, optimizing processes, and driving strategic decisions to improve cost-efficiency, sustainability, and customer satisfaction in line with Ontex's commitment to operational excellence.

 

How big is the job?

  • Scope: You will analyze large-scale supply chain data across multiple factories/distribution centers, supporting operations that span planning, procurement, manufacturing, logistics, and distribution.
  • Impact: Your insights will influence decisions affecting millions of euros in supply chain costs, delivery times, and inventory levels.
  • Reach: The role contributes to Ontex's North America’s operations, impacting our customers, suppliers, and internal teams.

 

What am I expected to deliver, and what are my main tasks?

 

Key Deliverables:

  • Accurate and actionable reports on supply chain performance.
  • Data-driven recommendations to improve efficiency and reduce costs.
  • Insights supporting inventory optimization, demand forecasting, and supply planning.

Main Tasks:

  1. Analyze supply chain data to identify trends, inefficiencies, and opportunities for improvement.
  2. Develop dashboards and visualizations to support data-driven decision-making.
  3. Collaborate with cross-functional teams to define and monitor key performance indicators (KPIs).
  4. Conduct scenario analyses to evaluate the impact of potential changes in the supply chain.
  5. Provide support for strategic initiatives, such as cost reduction programs.
  6. Work closely with IT to ensure data integrity and implement advanced analytics tools.

 

With whom do I need to collaborate to get the job done?

Internal Stakeholders:

  • Supply Chain Operations
  • Procurement and Logistics Teams
  • Production Planning
  • IT and Data Engineering Teams
  • Finance and Strategy Departments

External Stakeholders:

  • Suppliers
  • Transportation and logistics partners

 

How complex is the stuff I’m dealing with, and how do I solve problems?

 

Complexity:
Supply chains are dynamic, involving multiple interdependent factors such as fluctuating demand, global logistics, and regulatory constraints. The role requires managing data from diverse systems, ensuring accuracy, and drawing actionable insights from complexity.

Problem-Solving Approach:

  • Break down complex problems using data-driven methodologies.
  • Employ predictive analytics and scenario modeling to anticipate issues.
  • Use innovative tools (e.g., machine learning and advanced visualizations) to uncover hidden patterns.
  • Collaborate across teams to align solutions with Ontex's strategic objectives.

 

What do I need to be successful in this job?

 

Education and Experience:

  • Bachelor’s or Master’s degree in Supply Chain Management, Data Science, Business Analytics, or a related field.
  • 2–5 years of experience in supply chain analytics, logistics, or a similar role.

Skills and Competencies:

  • Strong proficiency in data analysis tools (e.g., SQL, Python, R, Tableau, Power BI).
  • Solid understanding of supply chain principles and metrics.
  • Exceptional problem-solving and critical-thinking skills.
  • Strong communication skills to convey technical insights to non-technical stakeholders.
  • Collaborative mindset with a results-oriented approach.

Key Traits:

  • Curiosity to explore complex data sets and identify actionable insights.
  • Initiative to drive process improvements proactively.
  • Adaptability to manage competing priorities in a fast-paced environment.

 

  ontex.com  

 

Interested in your next step at Ontex? Do not hesitate to apply!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Business Analytics Data analysis Engineering Finance KPIs Machine Learning Power BI Python R SQL Tableau

Region: North America
Country: United States

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