Master Data Analyst

Cynet Systems•Malvern, PA

20h

About The Position

The Master Data Analyst coordinates, creates, and maintains GxP master data elements in sIDMa, SAP/ECC, and OMP+, ensuring data is timely, efficient, and accurate so that material planning, production, release, finance, and other processes can proceed optimally. The role assesses the technical feasibility and potential impact of change requests and new product introductions based on input documents and detailed system knowledge, and may conduct tests in a development environment. The position also manages master data elements and system changes, checks supplied data against technical specifications and instructions, and performs creations and updates in accordance with applicable procedures. It serves as a point of contact for troubleshooting, root cause analysis, and system incidents related to master data. The analyst coordinates and monitors master data implementation with functions including Planning, Operations, Tech Ops, Process Engineers, Bio-TD, Finance, Warehousing, Quality Assurance, and system users, as well as with other organizational sites. The analyst prepares or updates work instructions, guides and trains new data analysts, acts as a key user for certain systems, performs user acceptance testing, and supports global master data initiatives. The role participates in or initiates process improvements using cGMP and lean principles, complies with cGMP and safety regulations, supports site initiatives related to safety, health, environment, diversity, and cost saving, and coordinates site master data changes for large projects affecting system data setup.

Requirements

Bachelor's/University degree or equivalent through experience.
Strong experience and thorough knowledge, preferably in the healthcare or FMCG industry.
Experience with data processing systems; SAP is required.
Understanding of procedures for processing and managing master data.
Knowledge of production and/or laboratory processes.
Knowledge of GxP requirements.
Ability to perform impact analyses and technical feasibility studies correctly.
Ability to critically test data from multiple departments for correctness.
Ability to process, follow up, and extract data from multiple systems, including query use and writing.
Ability to gain an overview of and accurately manage a multitude of data.
Ability to prioritize data processing to support the most urgent processes first.
Effective collaboration and strong communication skills.
Strong analytical and quantitative skills.

Nice To Haves

Experience with sIDMa and OMP+.

Responsibilities

Coordinate, create, and maintain GxP master data elements, including Material Master, BOMs/Recipes, Production Versions, time standards, relationships and offsets, and resources, in sIDMa, SAP/ECC, and OMP+.
Perform impact analyses and technical feasibility studies for change requests and new product introductions; conduct tests in a development environment when needed.
Manage and process master data elements and initiate technical system changes.
Check supplied data against technical specifications and instructions, and accurately create or change master data according to applicable procedures.
Troubleshoot master data issues and system incidents, conduct root cause analysis, and serve as a point of contact.
Coordinate and monitor implementation data with Planning (MPS, DSS, MRP), Operations, Tech Ops, Process Engineers, Bio-TD, Finance, Warehousing, Quality Assurance, system users, and other organizational sites.
Prepare or adjust master data work instructions and guides.
Guide and provide hands-on training to new data analysts.
Act as a key user for certain systems and perform user acceptance tests.
Support global master data initiatives.
Participate in or initiate master data process improvements in accordance with cGMP and lean principles.
Comply with cGMP and safety regulations and support site initiatives concerning safety, health, environment, diversity, and cost saving.
Coordinate site master data changes for large projects that affect systems' data setup.