Proven experience as a supply chain analyst or logistics coordinator
Proficient in MS Word, Excel, Access, PowerPoint
Competent using Lawson or equivalent MMIS system
Adept at queries and report writing
Knowledge of cost analytics and ROI analyses preferred
Experience in data mining techniques and procedures and knowing when to use appropriately
Ability to present complex information in an understandable and compelling manner
Strong communication, interpersonal, organizational and facilitation skill with strong customer service emphasis Healthcare Materials Management background or experience preferred
Valid Fire and Safety Certification. (If no card upon hire, one must be obtained within 30 days of hire, and maintained by renewal before expiration date.)Â
This term position oversees and provides the analytical/technical skills needed for leading the implementation and coordination of supply chain management processes within the Materials Management Information System (MMIS) and its affiliates. The position is responsible for ongoing collection of supply chain information that is obtained from a variety of sources including but not limited to the MMIS system and supporting benchmarking systems. This responsibility includes oversight of the junior data analyst personnel, and ensures the efficient execution of their duties. In addition, the Senior Data Analyst is responsible for the system wide identification, negotiation, and monitoring of sourcing, procurement, distribution, logistics and supply chain informatics. The role of the Senior Data Analyst is also a highly collaborative role in the expectation of a partnership with the Sourcing Team for utilizing data and operations knowledge in conjunction with contract and product cost benefit analyses, as well as capital expenditures ROI analyses. It requires the ability to analyze health care supply chain data from conceptualization through presentation of the data. The position also involves day to day maintenance of the MMIS data sets, month-end close and both cycle and ad hoc reporting. It requires proficiency with analytical tools (e.g. Excel), knowledge of data analysis methodology, use of presentation software, strong communication skills and a strong commitment to and affinity for delivering the highest level of customer service.
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