Vendor Qualification Data Analyst

About the role

The Vendor Qualification Data Analyst supports IQVIA Laboratories and other IQVIA RDS business units by ensuring suppliers are onboarded, qualified and maintained in line with IQVIA's vendor risk management and compliance requirements. The role coordinates between vendors, internal stakeholders and the IQVIA Risk and MyVendor teams so that vendor setup, qualification and periodic reviews happen on time.

Key responsibilities

• Review and align existing vendor qualifications in IQVIA's Vendor Qualification Solution, assessing spend and intended use so they stay fit for purpose.
• Liaise with business stakeholders on vendor prioritization for submissions.
• Perform data analysis to inform recommendations for qualification and subsequent submissions.
• Prepare and complete vendor qualification submissions end to end, choosing scope, commodity classification and requirements.
• Advise stakeholders and vendors on qualification questions and commodity selection.
• Act as the main contact between vendors, stakeholders and Risk SMEs, tracking progress and following up to avoid delays.
• Serve as the internal subject matter expert on vendor qualification for IQVIA Laboratories and other RDS BUs as assigned.
• Develop and improve the intake process for vendor requests and catch-up work.

Required profile

• Bachelor's degree in Business Administration, Supply Chain, Quality Management or a related field; equivalent experience considered.
• Prior 3 years' experience in vendor management, procurement operations, quality/compliance or data-driven administrative roles.
• Experience with vendor qualification systems (e.g. Aravo) or similar compliance platforms is highly desirable.
• Background in laboratory, pharmaceutical, CRO or regulated environments is an advantage.

Required skills

• Strong ability to review, interpret and reconcile spend data against qualification requirements.
• Understanding of procurement processes, vendor onboarding workflows and qualification documentation.
• Proficiency in Microsoft Office, especially Excel for data extraction and analysis.
• Excellent communication, organization, time management and teamwork skills.