Data Services Analyst

• Perform data review, reconciliation, analysis and quality control activities across multiple studies, clients, data sources, and IQVIA systems and platforms
• Investigate, troubleshoot, and resolve data discrepancies, mapping issues, exceptions, and operational problems, identifying root causes and coordinating resolution with appropriate teams
• Support study setup, maintenance, validation, testing, and ongoing operational activities across IQVIA clinical technology and data solutions
• Interpret study, data, and business requirements and apply defined rules consistently when reviewing, validating, and processing data
• Analyze information across systems and data sources to identify inconsistencies, gaps, and potential data-quality issues
• Manage assigned studies, activities, and deliverables independently, providing timely updates on risks, issues, dependencies, and milestones
• Collaborate with clinical, technical, operational, and client-facing stakeholders regarding data-related inquiries, reporting requirements, and issue resolution
• Support service requests, incidents, and change requests, including investigation, documentation, and appropriate escalation
• Produce and maintain operational reports, reconciliations, metrics, and client deliverables
• Identify opportunities for automation, standardization, and process improvement to improve data quality, reduce manual effort, and increase operational efficiency
• Contribute data and operational expertise to the continued development of technology-enabled ways of working within Data Services
• Share knowledge, best practices, and guidance with less experienced team members and contribute to a collaborative global team environment

• Bachelor's degree in business, Computer Science, Life Sciences, Information Technology, or a related field, or an equivalent combination of education and experience
• 3 years of experience in Data Analyst
• Strong analytical, investigative, troubleshooting, and problem-solving skills
• Experience investigating and resolving data-quality, reconciliation, or operational data issues
• Strong attention to detail with a demonstrated commitment to data accuracy and quality
• Advanced Microsoft Excel and data-analysis skills
• Experience with reporting, data reconciliation, and operational support activities
• Ability to understand business and data requirements and translate them into practical data checks and operational solutions
• Ability to work with complex datasets and investigate discrepancies across multiple data sources and systems
• Effective written and verbal communication skills, including the ability to explain complex data issues clearly to both technical and non-technical stakeholders
• Ability to independently manage multiple priorities and deliverables in a fast-paced environment
• Ability to collaborate effectively across global and cross-functional teams
• Strong customer-focused mindset and stakeholder-management skills