SAP Master Data Analyst (Hybrid) (No Corp to Corp or H-1B)

NetSource, Inc.
Malvern, PA, United States
2 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Integrated Development Environments SAP (Applications) SAP NetWeaver Data Management Data Processing Data Analytics Data Management GXP

Job description

Please note this position is a 6 Month Contract and is Hybrid (3 days Onsite in Malvern, PA). No Corp to Corp or H-1B, In this role the Master data analyst will work closely with other departments (e.g. Planning (MPS, DSS, MRP), Operations, Tech Ops, Process Engineers, Bio-TD, Finance, Warehousing, Quality Assurance, sIDMa users) for coordinating and monitoring implementation data of various Master Data. There will also be contacts and exchanges with other sites., The Master Data Analyst is accountable for the timely, efficient and accurate coordination, creation and maintenance of various GXP master data elements (e.g. Material Master, BOM/Recipes, Production Versions, (time) standards, relationships and offsets, resources) in sIDMa, SAP/ECC and OMP+ and the execution of impact analyses or feasibility studies of change requests so that material planning, production, release, finance, or other processes can proceed optimally.

· Performs an assessment of the technical feasibility of change requests and/or introduction of new products based on input documents and in-depth technical system knowledge and possibly by conducting tests in a development environment

· Manages and processes various master data elements in sIDMa, ECC and OMP+:

· initiates (technical) changes to the systems

· critically checks supplied data, checks against (technical) specifications and instructions

· performs Master Data creations / changes right first time in accordance with the applicable procedures and input supplied

· acts as the point of contact for troubleshooting and root cause analysis on Master Data related issues.

· acts as the point of contact for sIDMa incidents or questions

· Performs various ad hoc tasks regarding Master Data Management:

· prepares, or adjusts, Master Data work instructions

· guides new data analysts and provides hands-on training

· is key user for a certain system and performs user acceptance tests, supports and concretizes global initiatives concerning Master Data in sIDMa Sustain, sIDMa OMP, Sustain SAP and in OMP+

· participates in or initiates actions to improve master data processes taking cGMP and lean principles into account

· complies with cGMP and safety regulations and actively supports site-related initiatives regarding e.g. safety, health, environment, Credo, D&I, Faster Forward, Cost Saving

· coordinates master data management changes at the site supporting large projects impacting the systems’ setup of data.

Requirements

· Must have a Bachelor’s degree, required

· Must have SAP Master Data Management experience

· Basic maintenance experience

· Must have 3-4 years of experience

· SAP, required

· Master Data experience, required

· Experience in Manufacturing Master Data, highly preferred

· Should have Pharma background, preferred

· Experience working in Production Modules (SAP EP)

Minimum Qualification:

· A Minimum of a Bachelor’s/University Degree

· Strong Experience and Thorough Knowledge, Preferably Within the Health Care or FMCG Industry.

· Data Processing Systems (E.G. SAP Required, Sidma and OMP+ Preferred)

· Procedures for Processing and Managing Master Data

· Production and / Or Lab Processes

· Gxp Requirements

· Knowledge, Skills and Abilities:

· Ability to Correctly Perform Impact Analyses And/Or (Technical) Feasibility Studies

· Ability to Critically Test the Correctness of a Multitude of Data Coming from Multiple Departments

· Ability to Process, Follow Up and Extract Various Data from Various Systems (Query - Use and Possibly Writing)

· Acquire The Overview of and Manage Accurately a Multitude of Data

· Ability to Give the Right Priority When Processing Data (First Support for The Most Urgent Processes)

· Collaborates Effectively, Strong Communication Skills

· Strong Analytical and Quantitative Skills

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