Techno-Functional Lead - MRO Material Clean-up

Comerit

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Comerit is seeking a Techno-Functional Lead for a remote engagement focused on cleaning up MRO data in S4. The project aims to remove obsolete items and cleanse remaining records to improve search accuracy and support upcoming data migration activities.

The role requires functional data analysis skills to identify data quality issues and drive cleansing efforts, ensuring a solid data foundation for future S4 process optimization.

Qualifications

  • Experience with data cleansing and data quality improvements in enterprise MRO/S4 environments.
  • Ability to analyze data attributes and identify inconsistencies to improve search and migration capabilities.
  • Strong analytical and problem-solving skills with focus on data governance.

Responsibilities

  • Identify and deactivate obsolete MRO materials in S4.
  • Identify and manage potential duplicate materials and cleanse attribute values.
  • Correct incomplete or incorrect material attributes to enable data migration and future optimizations.

Skills

Functional Data Analysis

Job description

This is a remote position.

Role: Techno-Functional Lead

The core objective of this Scope of Work is to clean up the MRO materials currently residing in S4. S4 contains 188K MRO materials, 118K (63%) have been determined to be obsolete Removing the obsolete materials and cleansing the remaining 70K will:

  • Improve current S4 activities (e.g. search capability) by removing irrelevant materials and ensuring complete and correct values for key attributes
  • Facilitate R2 blueprinting and data migration activities
  • Provide a foundation for future S4 process optimization

The scope of work includes:

  • Identifying, confirming, and deactivating obsolete MRO materials
  • Identifying and handling the disposition of potential duplicate materials
  • Identifying and cleansing MRO materials with incomplete or incorrect attribute values
Requirements

Functional Data Analysis

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