Job Title: Data Support Analyst
Duration: 6 Months + Possible Extension.
Location: Redmond, WA.
Pay Scale:~$33.00/hr. w2 (Negotiable)
Overview
Job Description for Data Support Analyst – SmartERP Support
Modifies, adapts and implements short- and long-term solutions to information technology (IT) needs through new and existing applications, systems architecture, network systems and applications infrastructure.
Involves data clean up in ERP Material Master attributes and correction and maintenance of attributes and other information.
Reviews systems requirements and business processes, codes, tests, debugs and implements software solutions.
GENERAL SUMMARY
Under the specific direction of a senior analyst, supervisor or manager; create, update, and maintain product master data systems to support regulatory registration, attribute updates and approval and order to cash process. This will also entail administering Device Master Record (DMR), Change Orders and quality records in accordance with corporate documentation procedures and FDA Good Manufacturing Practices (GMP).
PRIMARY RESPONSIBILITIES
As a Data Support Analyst you will interact with cross functional teams that collaborate on development, review and release of products and make decisions based on quality system regulations and requirements. As a member of this team, you will, under minimal supervision, interact and collaborate with different groups impacted by Material Master data.
Potentially provide back up to the configuration analyst by maintaining a working knowledge of the configurator and change validation. This includes:
BASIC QUALIFICATIONS:
• Bachelor’s Degree is required
PREFERRED/DESIRED QUALIFICATIONS:
• Bachelor’s Degree in Supply Chain, Manufacturing Systems, or Information Management is preferred
• 1-2 years of related experience in a business environment
• Computer training including use of the internet
• Intermediate to advanced knowledge of Microsoft Office applications (Outlook, Word, Excel, PowerPoint, Access)
• Experience implementing business and IT processes to support Master Data
• Lean process development