SAP Super User

Bertelsmann; United States; On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

401(k) with company match up to 6%

Paid Time Off including holidays

Flexible Spending Accounts

Voluntary benefits (legal/financial, i

pet insurance

Employee Assistance Program

Tuition reimbursement

Job summary

Bertelsmann is seeking a systems-focused SAP Data Analyst to support distribution center operations and drive process improvements. You will aid in system testing, training, and data-driven optimization across ERP components within a distribution environment.

The role emphasizes collaboration with the SAP team, data analysis, and ongoing learning to implement updates and efficiencies across distribution processes.

Qualifications

• High School Diploma or equivalent.
• Advanced SAP experience.
• Distribution Center or Manufacturing experience.
• Strong technology skills.

Responsibilities

• Provide support to the distribution center on systems-related issues
• Train team members on system functionalities
• Troubleshoot system-related issues
• Develop and update training materials for new functionality and updates to the system
• Assist in system unit testing, integration testing and regression testing
• Using data analysis tools and work with the SAP team
• Continuous involvement and support with departmental process improvements

Skills

Strong technology skills

Education

High School Diploma or equivalent

Tools

SAP

Job description

Provide support for all distribution systems and operations and assist in the implementation of distribution projects and initiatives to drive continuous process improvement.

YOUR TASKS

• Provide support to the distribution center on systems-related issues
• Train team members on system functionalities
• Trouble-shoot system-related issues
• Develop and update training materials for new functionality and updates to the system
• Assist in system unit testing, integration testing and regression testing
• Using data analysis tools and work with the SAP team
• Continuous involvement and support with departmental process improvements

Qualifications

• High School Diploma or equivalent
• Advanced SAP experience
• Distribution Center or Manufacturing experience
• Strong technology skills

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. We want to keep the application process as simple as possible for you: focus on a meaningful resume; we do not require an elaborate cover letter. Please know that we can only accept your application through our online application portal.

Job Segment: SAP, Data Analyst, Business Process, ERP, Technology, Data, Management