Data Support Specialist – ERP Implementation

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Located in Dunn, NC

Salary: $30.00 to$32.00

We are seeking a detail-oriented and analytical Data Support Specialist to support the implementation of a Microsoft Dynamics 365 (D365) ERP system at our Dunn, NC site. This is a limited duration position for approximately 12 to 18 months, playing a critical role in ensuring the accuracy, consistency, and readiness of master data for the new ERP system.   This role would additionally provide support to other roles within the organization as needed (Quality, Production Planning, Purchasing, Customer Service).

 

Responsibilities

• Analyze and assess existing system master data to identify gaps, inconsistencies, and opportunities for improvement.
• Collaborate closely with site Subject Matter Experts (SMEs) to support data transformation, cleansing, and enrichment activities.
• Assist in mapping legacy data to the new D365 ERP structure, ensuring alignment with global and local data standards.
• Develop and maintain data quality reports and dashboards to track progress and highlight issues.
• Support data migration efforts by preparing datasets, validating data loads, and troubleshooting discrepancies.
• Document data-related processes, transformation rules, and validation criteria.
• Provide ad hoc data analysis and reporting to support project decision-making.
• Support Quality, Production Planning, Purchasing and Customer Service with data entry, job scheduling, other clerical tasks as needed.

Qualifications / Experience required

• Bachelor’s degree in Data Science, Information Systems, Business Analytics, or related experience.
• Proven experience in data analysis, preferably in the context of ERP implementations.
• Strong proficiency in Excel; experience with Power BI, SQL, or other data tools is a plus.
• Familiarity with Microsoft Dynamics 365 or other ERP systems is highly desirable.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced project environment.

Preferred Attributes:

• Experience working on cross-functional teams during system implementations.
• Strong attention to detail and a proactive approach to data quality.
• Comfortable working with large datasets and complex data structures.

 

Candidates must be a US Person, defined as an individual that is a:

• Citizen of the United States, or
• Permanent resident alien of the United States, or
• Protected individual as defined by 8 U.S.C. 1324b(a)(3) as defined by 22CFR120.15

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