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Data Quality Analyst

2 months ago

Indianapolis, United States Net2source Full time

Job Description: Quality Assurance Data Analyst

Location: Indianapolis, IN 46225 (Hybrid)

Duration: 06+ Months (Extendable)

Pay Rate: $42/hr on W2

ID: 2474

Qualifications:

Looking for someone with a strong background in pharmaceutical manufacturing and quality processes and/or laboratory/QC functions, as well as hands on experience with data management, data remediation, and/or data integrity practices. 5-7 years experience required.

Responsibilities:

  • Support the Global Quality Compliance organization by applying hands-on experience in data remediation and data integrity practices to improve the Global Non-Terminal Records (Orphan data) Program. Collaborate with internal teams and stakeholders to assist in analyses of data from a variety of IT systems (MES, LIMS, LES, etc).
  • Looking for someone with a strong background in pharmaceutical manufacturing and quality processes and/or laboratory/QC functions, as well as hands on experience with data management, data remediation, and/or data integrity practices.
  • Role will monitor non-terminal data and edit/create presentations, charts, diagrams, graphics, and technical documentation.
  • This includes but is not limited to creating risk assessment documentation, creating knowledge management documentation and help deliver on actions across the global program.

Comments/Special Instructions

  • Would like person to work a hybrid based schedule in alignment with the majority of the people they will be partnered with for the assignment. This includes usually 3 days on-site (Monday, Tuesday and Thursday) at the corporate center in Indianapolis and 2 days from home.
  • There may be a need to be on-site at the Lilly Technology Center on certain days if working with other stakeholders primarily located at that campus.
  • If the person desires to be on-site more often, they can work up to all 5 days on-site. Hours are approximately 8am-5pm with some ability to be flexible on start and end time.