Qualcomm

Data Analyst

Remote San Diego, CA
Oracle
Description

Data Analyst Job Overview:

The Master Data Analyst duties comprise of developing the processes, governance, policies, standards, and tools that consistently define and manage the critical data of the business to provide a single point of reference across all systems. The Data Analyst objective is to continuously streamline data sharing among the business functions and linking records across systems, harmonizing the data elements to provide quality and high integrity data from a trusted single version of truth from which decisions are based.

Responsibilities:

  • Data Management: Manage product data by developing the ability and knowledge of creating and changing Oracle master data in the areas of Item Master, BOM’s, Routes, Sourcing, Attributes, and other required areas as defined through documented processes.
  • Identify data discrepancies, communicate to business partners, research discrepancies and facilitate/coordinate resolution.
  • Ensure data accuracy to enable appropriate supply, demand, and capacity planning.
  • Understand how to gather, interpret, and interact with large and complicated datasets
  • Collaborate and share knowledge with stakeholders to integrate information and drive better informed data decision making
  • Perform manufacturing cost roll ups to support PO placement, inventory transactions, WIP visibility, supplier, and DC shipments to customer, quarterly re-quoting process, financial reconciliations, and inventory valuation.
  • Knowledge of B2B Messaging and Shop Floor Manufacturing with understanding of data elements that impact these functions.
  • Maintain and monitor supplier attribute data to ensure accurate lot genealogy and traceability for quality control and customer specific requirements.
  • Project Support/Identification of Process Improvements: Participates in solution design, and architect master data related solutions for Set-up and data collection requirements. Provide data for testing in IT Test Environments and participate in project readiness from POC to go-live. Expected tasks include specification and IT case creation, script testing, customer and internal training, cross functional collaboration, and documentation
  • SME to assist in troubleshooting and performing corrective actions to support cross functional teams throughout the organization
  • Develop working knowledge of multiple business processes and work as a system liaison for problem resolutions.
  • Understand upstream source of truth systems, such as Agile and Cognos, and QPMD and provide feedback and expertise on how they impact ERP data elements. Also, should be knowledgeable of key data elements from ERP to other downstream systems such as Rapid Response, Price Management, Demantra, Model-N and custom business systems. Including knowledge of data hierarchies, data attributes, and data formats.
  • Develop ad hoc and weekly reporting using ETL processes in systems such as:  SharePoint, Business Objects, Tableau, Oracle, QlikView, and SharePoint.
  • Knowledge in New Product Introduction, Engineering Change Order approvals and implementation, Data Mining, and Lifecycle Management from Engineering to Obsolescence.

Role subject to change based on Supply Chain resource needs

Required Skills/Experience:

  • 2+Years and experience dealing with data analysis, integrity, and reporting with a Bachelor's degree in Business, Supply Chain, Engineering and/or Operations
  • Knowledge in Oracle ERP, Agile, SharePoint, and BI tools such as Business Objects and Tableau
  • Knowledge of manufacturing and Supply Chain and Operations procedures

Preferred:

  • Semiconductor industry experience a plus
  • Self-motivated team contributor with the ability to work on multiple projects simultaneously.
  • Strong communications, interpersonal and organizational skills in a team environment
  • Ability to clearly convey technical and non-technical concepts to a wide audience to drive resolution/decisions.
  • Ability to work with minimal direction and supervision
  • Detail oriented and highly organized with a high skill level in time management, multi-tasking, and task prioritization.
  • Capability to provide data driven decisions and solutions.
  • Creative thinker with a flair for problem solving and out of the box ideas
Qualcomm
Qualcomm
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