Sr. Customer Deliver Analyst

Kenvue•Summit, NJ

4d•Hybrid

About The Position

The Sr. Customer Deliver Analyst drives operational excellence across order management, customer service, inventory management, logistics, and customer supply chain planning. The role uses data, automation, AI-enabled tools, and cross-functional collaboration to identify service risks, solve business problems, improve decision-making, and enhance the customer experience. The analyst serves as a liaison between Kenvue and its customers, helping influence inventory and supply chain plans to support sales growth. The position reports to the Senior Manager Customer Logistics and is based in Summit, New Jersey, with a hybrid work location. Domestic travel of up to 10% may be required.

Requirements

Bachelor’s degree required.
At least 4 years of related work experience required.
Strong collaboration and communication skills, including experience working on multifunctional teams.
Solid problem-solving and analytical skills.
Experience with data visualization tools such as Tableau, Qlik, or Power BI.
Experience within Supply Chain, Logistics, or related operations.
Proficiency with Microsoft Office, including advanced Excel.
Strong analytical and quantitative skills and proficiency with computer systems.
Strong interpersonal skills to build relationships with top customers and sales teams and work effectively on cross-functional teams.
Ability to think strategically, challenge convention, and take a leadership role within the team.

Nice To Haves

Experience growing businesses through entrepreneurial collaboration.
Experience with business applications such as SAP, BW, EDI, or other ERP systems.

Responsibilities

Provide best-in-class customer service, maintain strong customer relationships, and deliver impact to key metrics.
Lead the identification, planning, and implementation of end-to-end solutions that improve service or cost, or unlock new capabilities.
Act as a liaison between Kenvue and customers to influence inventory and supply chain plans and support sales growth.
Use AI-enabled tools and advanced analytics to identify trends, summarize business issues, accelerate root cause analysis, and recommend corrective actions.
Develop automated reporting, dashboards, and exception-based alerts for service, inventory, order management, and transportation performance.
Use digital tools to simplify workflows and improve speed, accuracy, and decision quality.
Use data to recommend and implement changes to purchasing patterns and products to optimize service and logistics efficiency.
Translate complex data into clear insights, recommendations, and action plans for internal teams, customers, and leadership.
Identify opportunities to reduce manual work through automation, process redesign, and standard work.
Monitor and report metrics including in-stock/out-of-stock, fill rate, and on-time delivery; research root causes with supply chain partners and provide back-in-stock dates and corrective and preventive action plans.
Partner with Supply Chain and Sales to provide SKU-level recommendations that help customers increase inventory during promotional, seasonal, and other periods of increased demand.
Deliver business innovation through effective use of technology and drive process and systems improvements affecting order management, inventory management, and dashboard measures.
Participate in the design and lead customer-specific supply chain joint business planning and Retail Customer Logistics strategic tactics.
Identify opportunities and lead improvement projects that develop transportation solutions, improve on-time delivery, and support profitable growth through logistics, replenishment, and policy optimization.
Resolve escalated discrepancies involving data integrity, shipping issues, and trade pricing or promotional management through root-cause identification and corrective actions.
Support order execution and exception management by collaborating across functions to resolve service issues, improve process reliability, and reduce recurring manual intervention.
Proactively manage order fulfillment to meet customer demand through integration with operating company, distribution, and planning and forecasting.