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Data Cleansing and S4 SAP Support Specialist

Job in Alexander, Pulaski County, Arkansas, 72002, USA
Listing for: Belcan, LLC
Seasonal/Temporary position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 40 - 48 USD Hourly USD 40.00 48.00 HOUR
Job Description & How to Apply Below
Location: Alexander

Job Description

Job Title:

Data Cleansing and S4 SAP Support Specialist
Pay Rate: $40.00 – $48.00/hr.

Location:

Alexander, AR
Area Code: 501
ZIP Code: 72002

Start Date:

Right Away
Keywords: #Alexanderjobs; #Data Entry Operator Jobs ;

Benefits
  • On the job training, with cross training for other skilled positions and opportunities for advancement. The aerospace business is growing and we are continually training and promoting up from within.
  • Medical, Dental, Vision, Retirement savings options, tuition reimbursement, performance increases and career advancement. Award winning team with exceptional work environment.
  • Six Paid Statutory Holidays after 90 days probationary period.
  • One Week Paid Vacation Bonus after six months / 1960 regular hours.
  • Weekly pay by direct deposit.
  • Performance Reviews (and compensation reviews)
Job Summary

The Data Cleansing and S4 SAP Support Specialist is responsible for ensuring the accuracy, integrity, and quality of data within the organization’s systems, with a primary focus on SAP. This role involves identifying, analyzing, and correcting data discrepancies, supporting SAP data management processes, and collaborating with various departments to maintain clean and reliable data for operational and reporting purposes.

Key Responsibilities
  • Perform data cleansing activities to identify and rectify errors, inconsistencies, and duplicates in SAP and related databases.
  • Support the maintenance and updating of master data within SAP modules (e.g., Material Management, Finance, Sales & Distribution).
  • Collaborate with business users and IT teams to understand data requirements and resolve data quality issues.
  • Conduct regular audits and data validation to ensure compliance with data governance standards.
  • Assist in the development and implementation of data cleansing strategies and best practices.
  • Support SAP system users by troubleshooting data-related issues and providing guidance on data entry standards.
  • Document data cleansing processes, procedures, and changes to maintain clear records.
  • Participate in SAP data migration and upgrade projects as needed, ensuring data accuracy throughout transitions.
Qualifications
  • Bachelor’s degree in Information Technology, Business Administration, Data Management, or a related field.
  • Proven experience in data cleansing, data quality management, or data analysis roles.
  • Hands‑on experience with SAP systems, preferably in data management or support.
  • Strong understanding of SAP modules and master data concepts.
  • Proficiency in data analysis tools such as Excel, SQL, or data profiling software.
  • Excellent attention to detail and problem‑solving skills.
  • Strong communication and interpersonal skills to work effectively with cross‑functional teams.
  • Ability to manage multiple tasks and prioritize work in a fast‑paced environment.
  • Knowledge of data governance and compliance standards is a plus.
Preferred Skills
  • SAP certification related to data management or specific modules.
  • Experience with data migration and SAP upgrade projects.

If you are interested in this role, please apply via the apply now link provided. Our overriding goal is to provide quality staffing solutions that help people, organizations, and communities succeed. Belcan is a leading provider of qualified personnel to many of the world’s most respected enterprises. We offer excellent opportunities for contract, temporary, temp-to-hire, and direct assignments. We are the employer of choice for thousands worldwide.

For more information, please visit our website at

Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

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