Senior Business Analyst – Healthcare Data and Systems

Role Summary/Overview:

This senior-level position is pivotal in the end-to-end design development implementation deployment and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies including population health disease monitoring clinical trials and health surveillance. The Senior Business Analyst will champion and oversee the entire lifecycle of these systems working with product team members to ensure effective planning analysis and implementation. The goal is to deliver solutions that are efficient scalable maintainable and meet stakeholder needs.

Required Qualifications:

• Education & Experience:
  • Bachelors degree in Computer Science Biotech/Healthcare or Business Administration or a related field (or equivalent experience).
  • 6 years of hands-on experience in business analysis with a minimum of 4 years implementing healthcare-related data and/or processing systems such as clinical trial management software LIMS or EDCs preferably for observational studies
• Healthcare Data Expertise:
  • Experience with and understanding of data modeling (relational and non-relational) and applying various healthcare data models (e.g. HL7 FHIR OMOP) to solve practical problems.
  • Experience with practical application of healthcare data standards particularly HL7 (especially FHIR).
• Analysis and Technical Acumen:
  • Expertise with business analysis applications for analysis presentations and requirements documentation (such as Excel PowerPoint Jira Confluence Aha mind mapping or process flow applications).
  • Demonstrated ability to understand client requirements as well as underlying infrastructure applications systems and processes to enable execution of those skills.
  • Proven ability to independently troubleshoot and resolve complex technical process and delivery problems in healthcare data systems and integration.
  • Strong analytical and problem-solving skills with a focus on user experience and healthcare data challenges.
  • Proficiency with distributed version control systems preferably Git for collaborative development and documentation.
• Communication & Project Management Skills:
  • Excellent written and verbal communication skills capable of explaining complex technical healthcare technology/data concepts clearly and concisely to both technical and non-technical audiences including senior leadership and customers (including VP and Executive Director levels).
  • Ability to work independently manage multiple priorities and drive projects to successful completion in the context of healthcare data projects.
  • Skilled in rapidly producing clear concise and accurate standard business documentation and various diagram types (e.g. ERDs flowcharts sequence diagrams) understanding the appropriate use for each and the ability to use a combination of multiple diagram types to describe complex business processes accurately and comprehensively.
• Healthcare Domain Knowledge:
  • Familiarity with the U.S. healthcare system including its data structures standards and key initiatives.
  • Experience with data management requirements and considerations for human subjects research especially longitudinal studies.
  • Knowledge of good data management practices for scientific datasets (ensuring integrity security and HIPAA compliance).
• Adaptability & Learning:
  • Demonstrated ability to quickly learn and master new highly detailed domain-specific knowledge (e.g. Quality Payment Program) and apply it to implementation projects becoming a subject matter expert on regularly changing programs.

Key Responsibilities:

• Work with the project manager to coordinate the full lifecycle of study and registry product implementation projects ensuring their completion on-time on-budget and in accordance with stakeholder requirements. Formulate and define systems scope and objectives based on both user needs and a sophisticated understanding of applicable business systems and requirements.
• Design and implement real world evidence systems in alignment with product capabilities and client protocols.
  • Coordinate with epidemiology and data management teams to align product configuration identify future product capability needs and apply healthcare data models and standards (e.g. HL7 FHIR OMOP) consistently and correctly.
  • Accurately assess data collection and integration requirements to meet study and regulatory needs. Assess and prioritize critical requirements for configuration. Document user stories maintain good documentation practices and support engineering teams in executing projects using agile and hybrid methodologies.
  • Ensure good data management practices are applied for healthcare datasets intended for scientific use maintaining data integrity security and HIPAA compliance.
• Technical Problem Solving & Expertise:
  • Devise or modify procedures to solve complex problems considering product capabilities and project context and timelines.
  • Diagnose troubleshoot and resolve complex configuration and integration issues related to data systems to minimize defects customization and rework.
  • Stay current with and maintain knowledge of evolving healthcare data standards (e.g. HL7 FHIR OMOP) models and technologies and support their effective use in support of medical sciences data analysis needs.
• Documentation & Communication:
  • Create produce and maintain comprehensive clear concise and accurate technical and standard business documentation for all processes procedures system designs and solutions to facilitate clarity reproducibility and effective knowledge transfer. This includes process flow diagrams workflow diagrams sequence diagrams state flow diagrams and Entity-Relationship Diagrams (ERDs).
  • Effectively communicate complex technical and business information to diverse audiences including cross-functional teams external stakeholders customers and senior leadership managing expectations appropriately.
  • Follow standard operating procedures for quality documentation including developing business requirements user stories acceptance criteria and system requirement specifications. Show strategic judgment in employing verifying and editing AI content in documentation.
• Collaboration & Integration: Work closely and collaborate effectively with cross-functional teams and external stakeholders to ensure the seamless integration of healthcare data solutions.
• Mentorship: Train advise and mentor less experienced business analysts to enhance overall team capabilities.
• Operational Alignment: Work in alignment with global teams on Central European Time and U.S. Eastern Time.

Preferred Qualifications:

• Coding Systems: Familiarity with healthcare coding systems (e.g. SNOMED ICD LOINC).
• Technical Skills: Familiarity with scripting languages (e.g. Python R SAS) and query languages (e.g. SQL) to deliver project outcomes.
• Certifications: Relevant certifications in healthcare data standards or technologies (e.g. FHIR certification).
• Domain Experience: Experience in human subjects research clinical research public health or related fields. Experience with European standards for human subject research. Experience with any other country-specific or region-specific research standards and regulations.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at .

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