Account Management Intern — Merchandising & Analytics

Henkel; Westlake (OH); On-site; USD 30,000 - 37,000; Full time

Benefits offered by this job

Exciting projects

Online learning platform

Networking events

Feedback discussions

Social events

Job summary

Henkel's Adhesive Technologies internship in the United States offers hands-on exposure to Lowe's account management, omnichannel strategy, and data-driven decision making. You'll work with a cross-functional team to support a 7-member account group, conduct market research, build PowerPoint updates, and present findings to internal and external stakeholders.

We value leadership, strong communication, and the ability to analyze large data sets using Power BI and SAP.

Qualifications

• Undergraduate/graduate student or MBA pursuing business-related degree.
• Ability to work 2-3 days/week in the Mooresville office.
• Proven leadership experience with vision-setting and team engagement.
• Proficient in Microsoft Office Suite.
• Experience with Power BI and SAP is a plus.
• Ability to manage and analyze large data sets.

Responsibilities

• Work directly with Lowe’s Home Improvement to support key merchandising stakeholders.
• Support a 7-member account team in Lowe’s business projects and events.
• Manage adhesives omnichannel business on Lowes.com, contributing to strategy and execution.
• Conduct market research, run data reports, and provide actionable insights.
• Create PowerPoint updates and present findings to internal and external audiences.
• Collaborate cross-functionally and tailor projects to strengths.

Job description

Henkel's Adhesive Technologies internship in the United States offers hands-on exposure to Lowe's account management, omnichannel strategy, and data-driven decision making. You'll work with a cross-functional team to support a 7-member account group, conduct market research, build PowerPoint updates, and present findings to internal and external stakeholders.

We value leadership, strong communication, and the ability to analyze large data sets using Power BI and SAP.