Customer Delivery Analytics Specialist

Kenvue; Rogers (AR); Hybrid; USD 73,000 - 103,000; Full time

Benefits offered by this job

Competitive benefits

Paid company holidays

Paid vacation

Volunteer time & more

Learning & development opportunities

Job summary

Kenvue is hiring a Customer Deliver Analyst in Rogers, Arkansas, offering a hybrid work arrangement. You will leverage analytics, Excel, and BI tools to improve customer experience and supply chain performance, partnering with sales, logistics, and planning teams to optimize forecasting and inventory management.

The role emphasizes data-driven decision making, continuous improvement, and the use of AI-enabled tools to drive operational excellence across order management, replenishment, and

Qualifications

• 2-4 years of related work experience required.
• Proficiency with MS Office, including advanced Excel required.
• Experience with data visualization tools (e.g., Tableau, Qlik, or Power BI) required.
• University/Bachelor's Degree or Equivalent.

Responsibilities

• Translate complex data into clear business recommendations for customer, SKU, ship-to, and network levels.
• Collaborate with sales, customer, supply chain, and logistics teams to improve forecasting and logistics efficiency.
• Design and maintain dashboards and regular reports for key supply chain metrics.
• Lead process improvement initiatives focused on cost reduction, service levels, and efficiency.
• Use AI-enabled tools and automation to identify trends and opportunities across order management and replenishment.

Skills

Advanced Excel

MS Office

Data visualization

Education

Bachelor's Degree or Equivalent

Tools

Power BI

Tableau

Qlik

Job description

Kenvue is hiring a Customer Deliver Analyst in Rogers, Arkansas, offering a hybrid work arrangement. You will leverage analytics, Excel, and BI tools to improve customer experience and supply chain performance, partnering with sales, logistics, and planning teams to optimize forecasting and inventory management.

The role emphasizes data-driven decision making, continuous improvement, and the use of AI-enabled tools to drive operational excellence across order management, replenishment, and