Data Analyst (SAP Deployment) - (SAP Manufacturing Area Experience Needed) - (100% Remote)

Data Analyst (SAP Deployment) - (SAP Manufacturing Area Experience Needed) - (100% Remote)

Posted 2 weeks ago by 1755589628

Negotiable
Outside
Remote
USA

Summary: The role of Data Analyst focuses on converting manufacturing systems into SAP S/4, requiring strong experience in SAP's manufacturing areas. The position involves working closely with clients to define requirements, document transformation rules, and collaborate with technical teams to ensure successful data migration from legacy systems. The ideal candidate will possess extensive knowledge of data conversion processes and SAP functionalities, particularly in manufacturing contexts.

Key Responsibilities:

  • Work with client to define the requirements and design the transformation to convert data from legacy (non-SAP) systems into SAP.
  • Document requirements and mapping/transformation rules.
  • Work with the technical team to implement the solution and ensure the solution meets business requirements.
  • Work with business, SAP functional teams, and technical team to identify and resolve data defects.
  • Support data loads and validation of data through test and production load cycles.
  • Minimal work direction needed, highly skilled and knowledgeable to the position and provides best practicing sharing within work group.

Key Skills:

  • Experience in data conversion and data migration to S/4.
  • Legacy non SAP to SAP data.
  • SQL, Excel bit SQL queries.
  • Knowledge of SAP S/4.
  • Manufacturing on SAP background.
  • Ideal years of experience is 5-10.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Need strong experience with SAP's Manufacturing areas.

Notes:

  • Data Conversion Analyst
  • Converting Manufacturing systems into SAP S/4
  • Converting Non-SAP to SAP
  • Plant side legacy systems
  • Functional data mapping
  • Need a Lead Analyst
  • Source to pay
  • Warehouse management- PeopleSoft, IMCS and Oracle
  • Plant Management
  • QA
  • Converting ECC to S/4
  • Oracle to S/4

Top 3-5 skills:

  • Experience in data conversion and data migration to S/4
  • Legacy non SAP to SAP data
  • SQL, Excel bit SQL queries
  • Knowledge of SAP S/4
  • Manufacturing on SAP background
  • Ideal years of experience is 5-10

Duties:

  • Work with client to define the requirements and design the transformation to convert data from legacy (non-SAP) systems into SAP.
  • Document requirements and mapping/transformation rules.
  • Work with the technical team to implement the solution and ensure the solution meets business requirements.
  • Work with business, SAP functional teams, and technical team to identify and resolve data defects.
  • Support data loads and validation of data through test and production load cycles.
  • Minimal work direction needed, highly skilled and knowledgeable to the position and provides best practicing sharing within work group.
  • Service may be taxable in some states.
  • The client holds Direct Pay Permits in the following states: AL, AR, IA, MN, NE, NC, SD, TX, WI and WV.
  • Please do not bill sales tax in these states.
  • The client will be responsible for paying all sales tax due on taxable purchase orders.
  • The client also holds an Enterprise Zone exemption in Cordova, Illinois

Skills:

  • Must have experience with the data conversion life cycle.
  • Converting data from legacy (non-SAP) systems into SAP.
  • Experience with requirements gathering & documentation.
  • Able to do basic querying and data validation using SQL and Excel
  • Capable of analyzing data issues with the assigned subject area and work with developers, process teams, and business users to identify the root cause and drive resolution.
  • Experience with data cleansing: driving data quality in collaboration with business and IT
  • Experience with 3M Polaris (SAP deployment) program preferred.