
10,000+ employees
💼 Consulting
🏭 Manufacturing
📣 Marketing
💰 $1G Post-IPO Debt on 2023-05
Consulting • Manufacturing • Marketing
IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.
🔥 22 hours ago
🌐 Bulgaria, Serbia, +1 more countries – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧐 Analyst
👻 Ghost score 10%
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10,000+ employees
💼 Consulting
🏭 Manufacturing
📣 Marketing
💰 $1G Post-IPO Debt on 2023-05
Consulting • Manufacturing • Marketing
IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.
• 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
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