Slotting Analyst

Bertelsmann-Jobs; Pleasant Prairie (WI); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) with company match

Paid Time Off

Flexible Spending Accounts

Tuition reimbursement

Employee development opportunities

Job summary

Arvato, part of the Bertelsmann group, seeks a Slotting Analyst to optimize warehouse operations through data-driven slotting and inventory placement in Wisconsin. You will analyze movement, generate reports, and support product launches and promotions to enhance efficiency and service levels.

Collaborating with Operations and Inventory Control, you will drive space utilization improvements and maintain accurate slotting data across the warehouse.

Qualifications

• Bachelor's Degree in Industrial Engineering, Supply Chain, Data Analytics or related field (or equivalent experience).
• 2+ years’ experience working with large data sets.
• SAP experience strongly preferred.
• Experience with Microsoft Power Platform (Power BI, Power Apps & Flow) and Microsoft Office.
• Experience in data analysis and presenting data in a management-level format.
• Strong communication and attention to detail.

Responsibilities

• Analyze inventory movement and product velocity to identify A, B, and C runners and ensure materials are slotted efficiently.
• Generate and maintain reports supporting slotting decisions and identify opportunities for warehouse efficiency.
• Create Transfer Orders (TOs) in SAP to facilitate material moves and maintain accurate placement.
• Coordinate slotting activities for new product launches, promotions, and seasonal changes.
• Monitor and execute inventory consolidations and optimize space utilization.
• Maintain accurate slotting information and support warehouse cleanup and optimization initiatives.
• Collaborate with Operations, Inventory Control, and warehouse leadership to implement slotting changes that improve productivity and service levels.
• Track slotting and warehouse performance metrics, identify trends, and recommend process improvements.

Skills

Data analysis

Verbal & written communication

Attention to detail

Critical thinking

Education

Bachelor's degree in Industrial Engineering or Supply Chain

Equivalent experience

Tools

SAP

Power BI

Power Apps

Power Automate/Flow

Microsoft Office

Job description

Company Description

Job Description

The Slotting Analyst at Arvato is responsible for optimizing warehouse operations through strategic inventory placement and data-driven decision-making is critical to delivering exceptional service and operational efficiency. In this role, you will be responsible for analyzing inventory movement and product velocity to ensure materials are optimally slotted throughout the warehouse. You will partner with operations to support promotions, product launches, inventory consolidations, and continuous warehouse optimization.

YOUR TASKS

• Analyze inventory movement and product velocity to identify A, B, and C runners and ensure materials are slotted in the most efficient warehouse locations.
• Generate and maintain reports that support slotting decisions and identify opportunities for improved warehouse efficiency.
• Create Transfer Orders (TOs) in SAP to facilitate material moves and maintain accurate product placement.
• Coordinate slotting activities for new product launches, promotions, and seasonal volume changes.
• Monitor and execute inventory consolidations while identifying opportunities to improve space utilization and inventory organization.
• Maintain accurate slotting information and support ongoing warehouse cleanup and optimization initiatives.
• Collaborate with Operations, Inventory Control, and warehouse leadership to implement slotting changes that improve productivity and service levels.
• Track key slotting and warehouse performance metrics, identify trends, and recommend process improvements to enhance operational efficiency.

Qualifications

• Bachelor's Degree in Industrial Engineering, Supply Chain, Data Analytics or a related field or equivalent experience.
• 2+ years’ experience working with large data sets.
• SAP experience strongly preferred.
• Experience with Microsoft Power Platform (Power BI, Power Apps & Flow) and Microsoft Office.
• Experience in data analysis and presenting data in a consumable, impactful management-level format.
• Strong critical thinking, verbal and written communication skills, and attention to detail.

Additional Information

• Medical, Dental, Vision, Life Insurance, and Disability Pay.
• 401(k) with company matching up to 6%.
• Paid Time Off, including paid holidays.
• Flexible Spending Accounts.
• Voluntary benefits such as legal and financial assistance, pet insurance, and more.
• Employee Assistance Program.
• Ongoing employee development opportunities including tuition reimbursement, scholarships, and training.

Disclosure requirements pertaining to the collection of your personal data:

Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.

The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here .

You can contact the company’s Data Protection Officer at the above-mentioned postal address.

Further information on data protection and your rights can be found here .

We strive to be an equitable and inclusive workplace for our employees and value their diverse perspectives, which contribute to the diversity of our company. Therefore, we welcome applications from people who enrich our company with their identity, background and personal experience.

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