Data-Driven Delivery & Logistics Analyst (Hybrid)

Kenvue; Summit (NJ); Hybrid; USD 73,000 - 103,000; Full time

Benefits offered by this job

Competitive Benefits

Holidays & Vacation

Development Opportunities

Impact Networks

Job summary

Kenvue is hiring a Customer Deliver Analyst in a hybrid North America role. The position focuses on data-driven decision making to improve customer experience and supply chain performance, collaborating across sales, logistics, and planning functions.

Responsibilities include forecasting support, dashboarding, and advanced analytics using tools like Power BI and SAP. The role offers growth opportunities in a global consumer goods environment.

Qualifications

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

Responsibilities

• Translate complex data into clear business recommendations, including customer-level, SKU-level, ship-to-level, and network-level insights.
• Use tools such as Microsoft Copilot, Excel, Power BI, SAP/BW, EDI, Celonis, and other analytics platforms to investigate issues, summarize findings, and support continuous improvement.
• Collaborate with sales, customer, supply chain, and logistics teams to ensure accurate forecasting, improved logistics efficiency and efficient inventory replenishment.
• Lead and support process improvement initiatives focused on cost reduction, service level enhancement, and operational efficiency.
• Prepare and present data-driven recommendations to internal stakeholders and leadership.

Skills

Advanced Excel

Power BI

Tableau

Qlik

MS Office

Education

Bachelor's degree or equivalent

Tools

SAP

Job description

Kenvue is hiring a Customer Deliver Analyst in a hybrid North America role. The position focuses on data-driven decision making to improve customer experience and supply chain performance, collaborating across sales, logistics, and planning functions.

Responsibilities include forecasting support, dashboarding, and advanced analytics using tools like Power BI and SAP. The role offers growth opportunities in a global consumer goods environment.