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IQVIA Digital powers exceptional brand experiences, delivering innovative solutions based on a customer-first, insights-driven, and integrated omnichannel vision. We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose healthcare technology, and the expertise to enable an effective and adaptable marketing model that drives better quality of care and patient outcomes. IQVIA is the leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry. Learn more at www.iqviadigital.com

IQVIA Digital, an IQVIA business, is the leader in HCP (Healthcare Professional) data solutions fueling digital advertising campaigns across the wide array of platforms in the industry. We provide flexible and unique data solutions for programmatic display, paid social, email and Advanced TV campaigns. We deliver solutions to and partner with Advertising Agencies, Pharmaceutical, BioPharma and Medical Device manufacturers. IQVIA has the largest firstparty HCP database allowing for audience identification, delivery, and measurement of omnichannel digital campaigns that can leverage a database of over10 million Physicians, Nurse Practitioners, Allied Health, and Hospital Professionals.

Position Overview

The Data Quality & Analytics Manager ensures that all file deliveries meet order requirements, performs quality checks on file contents, and reports any delivery issues or data discrepancies. This role supports internal and external clients by upholding the highest standards of data quality and compliance throughout the delivery process.

Essential Functions

• Review and verify that all delivered files meet specified order requirements and client expectations.

• Perform detailed quality control checks on file contents, ensuring accuracy, completeness, and compliance with data governance standards.

• Document and report any issues, discrepancies, or failures in file delivery to relevant stakeholders promptly.

• Collaborate with internal teams (Delivery, Data Management, Product, and Governance) and external vendors to resolve QC issues efficiently.

• Maintain accurate records of QC checks, issue logs, and resolutions for audit and continuous improvement purposes.

• Prepare and present QC reports and summaries for internal and client review.

• Identify recurring issues or process gaps and propose solutions to enhance data quality and delivery reliability.

• Support onboarding of new data sources by validating test/sample files and ensuring they meet QC standards before release.

• Meet service level agreements (SLAs) for QC response times and issue resolution.

Technical QC Tools & Methods

• Data Validation Tools:

• SQL-based validation scripts for data integrity checks

• Python or R for automated QC workflows

• Excel with advanced formulas and macros for quick audits

• File Transfer & Monitoring:

• FTP/SFTP tools for secure file delivery verification

• Automated checksum/hash verification (MD5, SHA)

• Reporting & Issue Tracking:

• Power BI or Tableau for QC dashboards

• Adobe Workfront for issue logging and resolution tracking

• Compliance:

• Automated schema validation against predefined standards

Required Skills

• Strong attention to detail and ability to systematically review large data files for errors or inconsistencies.

• Experience with data file formats (CSV, Excel, TXT) and data management tools; familiarity with FTPs preferred.

• Ability to communicate QC findings clearly in both written reports and verbal updates.

• Proactive problem-solving skills and willingness to escalate issues when necessary.

• Strong organizational and time management skills; able to manage multiple QC tasks simultaneously.

• Proficiency in Microsoft Office (especially Excel and Outlook), programming languages (like SQL, Python) and reporting tools (PowerBI).

• Previous experience in data quality control, data management, or a related field is preferred.

Qualifications

• Bachelor’s Degree required; advanced degree in a relevant field is a plus.

• 3+ years of experience in data quality control, data delivery, or data management.

• Experience working with healthcare, life sciences, or HCP data is a plus.