Responsibilities:

o Stakeholder Collaboration:
o Collaborate with internal stakeholders to understand business requirements and translate them into effective data solutions.
o Identify and prioritize additional data elements required for more granular reporting and analytics.
o Identify and prioritize additional data transformations required to support reporting and analytics.
· Data Requirements and Solutions:
o Analyze current data availability and identify gaps in data needed to meet business reporting requirements.
o Identify data sources for the additional fields and establish a process for capturing and validating the data.
· Data Integration and Quality:
o Work with stakeholders to ensure that business data aligns with corporate objectives and governance standards.
o Define and document the necessary transformations required to combine business unit data with enterprise-level data in the EDP.
· Technical Collaboration:
o Serve as a technical liaison between the business unit and the IT/data engineering teams, facilitating the development of solutions that meet the business unit’s data and reporting requirements.
o Conduct technical solution demos and establish feedback loops with business stakeholders to ensure alignment and address evolving needs.
· Continuous Improvement:
o Work proactively to identify opportunities for process and data improvements that enhance downstream reporting and analytics performance.
o Monitor technology trends and innovations to propose solutions that could benefit the overall solution.
· Data Pipeline Development:
o Assist in building and maintaining data pipelines to ingest data from various sources into the Enterprise Data Platform (EDP).
o Assist in the development of scalable processes to ensure efficient data flow and integration for the US/Canada business.
o Define data transformations, ensuring that business unit data integrates seamlessly with broader enterprise financial and operational data.
o Leverage GenAI capabilities in the development of data transformations and the optimization of queries.
Qualifications:
· Bachelor’s degree in Business Administration, Information Technology, Data Science, or a related field.
· Minimum of 3-5 years of experience in business analysis, data engineering, or business relationship management, preferably in the healthcare or life sciences industry.
· Proficiency in data analysis tools (e.g., SQL, Excel, Tableau, OLAP) and familiarity with database management systems.
· Experience with data pipeline development and ETL processes.
· Strong understanding of business process modeling, requirements gathering, and project management methodologies.
· Excellent analytical, problem-solving, and critical-thinking skills.
· Exceptional communication and interpersonal skills, with the ability to work collaboratively and manage relationships with stakeholders.
· Demonstrated ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications:
· Experience supporting large business units in data strategy and reporting.
· Knowledge of financial data and analytics.
· Familiarity with cloud-based data platforms and big data technologies.
· Certification in Business Analysis (e.g., CBAP, CCBA), Data Engineering, or Business Relationship Management (e.g., BRMP) is a plus.

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 https://jobs.iqvia.com.

At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes.